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NCHS Data cheap kamagra 100mg http://tvandfilmtoys.com/super-kamagra-online/ Brief No. 286, September 2017PDF Versionpdf icon (374 KB)Anjel Vahratian, Ph.D.Key findingsData from the National Health Interview Survey, 2015Among those aged 40–59, perimenopausal women (56.0%) were more likely than postmenopausal (40.5%) and premenopausal (32.5%) women to sleep less than 7 hours, on average, in a 24-hour period.Postmenopausal women aged 40–59 were more likely than premenopausal women aged 40–59 to have trouble falling asleep (27.1% compared with 16.8%, respectively), and staying asleep (35.9% compared with 23.7%), four times or more in the past week.Postmenopausal women aged 40–59 (55.1%) were more likely than premenopausal women aged 40–59 (47.0%) to not wake up feeling well rested 4 days or more in the past week.Sleep duration and quality are important contributors to health and wellness. Insufficient sleep cheap kamagra 100mg is associated with an increased risk for chronic conditions such as cardiovascular disease (1) and diabetes (2). Women may be particularly vulnerable to sleep problems during times of reproductive hormonal change, such as after the menopausal transition.

Menopause is cheap kamagra 100mg “the permanent cessation of menstruation that occurs after the loss of ovarian activity” (3). This data brief describes sleep duration and sleep quality among nonpregnant women aged 40–59 by menopausal status. The age range selected for this analysis reflects the focus on midlife sleep health. In this analysis, 74.2% of women cheap kamagra 100mg are premenopausal, 3.7% are perimenopausal, and 22.1% are postmenopausal.

Keywords. Insufficient sleep, menopause, National Health Interview Survey Perimenopausal women were more likely than premenopausal and postmenopausal women to sleep less cheap kamagra 100mg than 7 hours, on average, in a 24-hour period.More than one in three nonpregnant women aged 40–59 slept less than 7 hours, on average, in a 24-hour period (35.1%) (Figure 1). Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period (56.0%), compared with 32.5% of premenopausal and 40.5% of postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to sleep less than 7 hours, on average, in a 24-hour period.

Figure 1 cheap kamagra 100mg. Percentage of nonpregnant women aged 40–59 who slept less than 7 hours, on average, in a 24-hour period, by menopausal status. United States, 2015image icon1Significant quadratic trend by menopausal status (p cheap kamagra 100mg <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were cheap kamagra 100mg perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data cheap kamagra 100mg table for Figure 1pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble falling asleep four times or more in the past week varied by menopausal status.Nearly one in five nonpregnant women aged 40–59 had trouble falling asleep four times cheap kamagra 100mg or more in the past week (19.4%) (Figure 2). The percentage of women in this age group who had trouble falling asleep four times or more in the past week increased from 16.8% among premenopausal women to 24.7% among perimenopausal and 27.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble falling asleep four times or more in the past week.

Figure 2 cheap kamagra 100mg. Percentage of nonpregnant women aged 40–59 who had trouble falling asleep four times or more in the past week, by menopausal status. United States, 2015image icon1Significant linear cheap kamagra 100mg trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and cheap kamagra 100mg their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 2pdf cheap kamagra 100mg icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week varied by menopausal status.More than one cheap kamagra 100mg in four nonpregnant women aged 40–59 had trouble staying asleep four times or more in the past week (26.7%) (Figure 3). The percentage of women aged 40–59 who had trouble staying asleep four times or more in the past week increased from 23.7% among premenopausal, to 30.8% among perimenopausal, and to 35.9% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to have trouble staying asleep four times or more in the past week.

Figure 3 cheap kamagra 100mg. Percentage of nonpregnant women aged 40–59 who had trouble staying asleep four times or more in the past week, by menopausal status. United States, 2015image cheap kamagra 100mg icon1Significant linear trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago cheap kamagra 100mg or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure cheap kamagra 100mg 3pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. The percentage of women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week varied by menopausal status.Nearly one in two nonpregnant women aged 40–59 did not wake up feeling well rested 4 days or more in the past week (48.9%) (Figure 4). The percentage of women in this age group who did cheap kamagra 100mg not wake up feeling well rested 4 days or more in the past week increased from 47.0% among premenopausal women to 49.9% among perimenopausal and 55.1% among postmenopausal women. Postmenopausal women were significantly more likely than premenopausal women to not wake up feeling well rested 4 days or more in the past week.

Figure 4 cheap kamagra 100mg. Percentage of nonpregnant women aged 40–59 who did not wake up feeling well rested 4 days or more in the past week, by menopausal status. United States, 2015image icon1Significant linear trend by menopausal status (p <. 0.05).NOTES.

Women were postmenopausal if they had gone without a menstrual cycle for more than 1 year or were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they no longer had a menstrual cycle and their last menstrual cycle was 1 year ago or less. Women were premenopausal if they still had a menstrual cycle. Access data table for Figure 4pdf icon.SOURCE.

NCHS, National Health Interview Survey, 2015. SummaryThis report describes sleep duration and sleep quality among U.S. Nonpregnant women aged 40–59 by menopausal status. Perimenopausal women were most likely to sleep less than 7 hours, on average, in a 24-hour period compared with premenopausal and postmenopausal women.

In contrast, postmenopausal women were most likely to have poor-quality sleep. A greater percentage of postmenopausal women had frequent trouble falling asleep, staying asleep, and not waking well rested compared with premenopausal women. The percentage of perimenopausal women with poor-quality sleep was between the percentages for the other two groups in all three categories. Sleep duration changes with advancing age (4), but sleep duration and quality are also influenced by concurrent changes in women’s reproductive hormone levels (5).

Because sleep is critical for optimal health and well-being (6), the findings in this report highlight areas for further research and targeted health promotion. DefinitionsMenopausal status. A three-level categorical variable was created from a series of questions that asked women. 1) “How old were you when your periods or menstrual cycles started?.

€. 2) “Do you still have periods or menstrual cycles?. €. 3) “When did you have your last period or menstrual cycle?.

€. And 4) “Have you ever had both ovaries removed, either as part of a hysterectomy or as one or more separate surgeries?. € Women were postmenopausal if they a) had gone without a menstrual cycle for more than 1 year or b) were in surgical menopause after the removal of their ovaries. Women were perimenopausal if they a) no longer had a menstrual cycle and b) their last menstrual cycle was 1 year ago or less.

Premenopausal women still had a menstrual cycle.Not waking feeling well rested. Determined by respondents who answered 3 days or less on the questionnaire item asking, “In the past week, on how many days did you wake up feeling well rested?. €Short sleep duration. Determined by respondents who answered 6 hours or less on the questionnaire item asking, “On average, how many hours of sleep do you get in a 24-hour period?.

€Trouble falling asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble falling asleep?. €Trouble staying asleep. Determined by respondents who answered four times or more on the questionnaire item asking, “In the past week, how many times did you have trouble staying asleep?.

€ Data source and methodsData from the 2015 National Health Interview Survey (NHIS) were used for this analysis. NHIS is a multipurpose health survey conducted continuously throughout the year by the National Center for Health Statistics. Interviews are conducted in person in respondents’ homes, but follow-ups to complete interviews may be conducted over the telephone. Data for this analysis came from the Sample Adult core and cancer supplement sections of the 2015 NHIS.

For more information about NHIS, including the questionnaire, visit the NHIS website.All analyses used weights to produce national estimates. Estimates on sleep duration and quality in this report are nationally representative of the civilian, noninstitutionalized nonpregnant female population aged 40–59 living in households across the United States. The sample design is described in more detail elsewhere (7). Point estimates and their estimated variances were calculated using SUDAAN software (8) to account for the complex sample design of NHIS.

Linear and quadratic trend tests of the estimated proportions across menopausal status were tested in SUDAAN via PROC DESCRIPT using the POLY option. Differences between percentages were evaluated using two-sided significance tests at the 0.05 level. About the authorAnjel Vahratian is with the National Center for Health Statistics, Division of Health Interview Statistics. The author gratefully acknowledges the assistance of Lindsey Black in the preparation of this report.

ReferencesFord ES. Habitual sleep duration and predicted 10-year cardiovascular risk using the pooled cohort risk equations among US adults. J Am Heart Assoc 3(6):e001454. 2014.Ford ES, Wheaton AG, Chapman DP, Li C, Perry GS, Croft JB.

Associations between self-reported sleep duration and sleeping disorder with concentrations of fasting and 2-h glucose, insulin, and glycosylated hemoglobin among adults without diagnosed diabetes. J Diabetes 6(4):338–50. 2014.American College of Obstetrics and Gynecology. ACOG Practice Bulletin No.

141. Management of menopausal symptoms. Obstet Gynecol 123(1):202–16. 2014.Black LI, Nugent CN, Adams PF.

Tables of adult health behaviors, sleep. National Health Interview Survey, 2011–2014pdf icon. 2016.Santoro N. Perimenopause.

From research to practice. J Women’s Health (Larchmt) 25(4):332–9. 2016.Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult.

A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. J Clin Sleep Med 11(6):591–2. 2015.Parsons VL, Moriarity C, Jonas K, et al. Design and estimation for the National Health Interview Survey, 2006–2015.

National Center for Health Statistics. Vital Health Stat 2(165). 2014.RTI International. SUDAAN (Release 11.0.0) [computer software].

2012. Suggested citationVahratian A. Sleep duration and quality among women aged 40–59, by menopausal status. NCHS data brief, no 286.

Hyattsville, MD. National Center for Health Statistics. 2017.Copyright informationAll material appearing in this report is in the public domain and may be reproduced or copied without permission. Citation as to source, however, is appreciated.National Center for Health StatisticsCharles J.

Rothwell, M.S., M.B.A., DirectorJennifer H. Madans, Ph.D., Associate Director for ScienceDivision of Health Interview StatisticsMarcie L. Cynamon, DirectorStephen J. Blumberg, Ph.D., Associate Director for Science.

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For more information, visit https://ucdavis.health/comfort..

Comfort and pain management have always been paramount in the child-centered approach to care at UC Davis cheap kamagra 100mg Children’s Hospital. A new hospital initiative called Comfort Commitment launched this month, which provides a standardized cheap kamagra 100mg approach to help pediatric patients better cope with distressing procedures and decrease pain and anxiety. Child life specialist Emily McDaniel and nurse Carter Todd discuss comfort planning with a patient.It involves four steps to managing a patient’s comfort:Ask the child and caregiver what they know and understand about the procedureShare more about the procedure in simple terms using honest, age-appropriate languagePlan for the procedure, considering medicine and numbing options, refocusing techniques (toys, electronics, music), comfort positions (chest-to-chest for small children with their caregiver, swaddle for infants and young toddlers) and a calming environment (with lights, noises and words)Follow the agreed-upon plan and ensure the child feels heard and modify comfort measures to meet the patient’s needs“Our ultimate goal is to establish an environment where hospital experiences can be growth-promoting for children and families,” said child life specialist Emily McDaniel. €œThrough individualizing procedural comfort plans with this collaborative four-step process, we are consistently able to provide coping support and empower the child cheap kamagra 100mg to customize a plan that uniquely meets their specific needs.”The initiative was funded by a Children's Miracle Network at UC Davis grant.

For more information, visit https://ucdavis.health/comfort..

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Welcome to the December edition of Emergency Medicine Journal, waar kamagra bestellen the final one for 2020. This has been an ‘interesting’ year for Emergency Physicians and their departments, with many changes to working practices. We hope you are keeping well in these uncertain times.Vascular accessThe Editor’s waar kamagra bestellen choice this month is a randomised controlled trial (Chauvin et al) wherein patients requiring blood gas measurement were randomised to arterial or venous sampling.

While the findings of less pain and increased ease for venous sampling might not be surprising, it is surprising that the clinical utility of the biochemical data (as assessed by treating physician) is equivalent. This provides further evidence to support the move waar kamagra bestellen to venous blood gases for most patients.Vascular access in paediatric patients is the focus of Girotto et als’ paper, which validates predictive rules (DIVA and DIVA3) for difficult venous access. Of interest are the additional factors (nurse assessment of difficulty, and dehydration status of moderate severity or more) which identified difficult access when the rule had not predicted difficulty in siting a venous cannula.Targets.

Achievement and effectsThere has long been intense debate regarding the use of quality metrics to assess performance of Emergency waar kamagra bestellen Departments (cf the ‘Goodhart principle’). A number of papers in this month’s EMJ look at ‘targets’- the effect the presence of targets can have, and the ramifications of attempts to achieve targets.Sethi et al have used a ‘before and after’ study design to retrospectively assess the effect on Emergency Department Clinical Quality Indicators of hospital-wide interventions to improve patient flow through the hospital (the ‘Reader’s choice’ for this month). An improvement in the Emergency Department quality indicators was demonstrated when a programme designed to improve patient flow waar kamagra bestellen through the hospital was undertaken.

The authors suggest that this programme may have resulted in a hospital-wide focus on the issue of ‘exit block’ and this may have had a significant effect, by changing the ‘culture’ of the hospital.This is complemented neatly by two further papers in this month’s EMJ. First, Paling et al, looks at waiting waar kamagra bestellen times in Emergency Departments, using routinely collected hospital data. This paper suggests that higher bed occupancy, and higher numbers of long stay patients, increases the number of patients who remain in the Emergency Department beyond the ‘4 hour target (for England)’.

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This paper waar kamagra bestellen assesses this tool against clinician perception of crowding and patient safety. The relationship between changes in overcrowding score and clinician’s perception was assessed, and refinements to the score suggested. The differences between physician and nurse perceptions of crowding and safety are intriguing, however the ‘bottom line’ may be that the search continues for the waar kamagra bestellen perfect scoring system for crowding.Mental health in the emergency departmentA cross-sectional study of Emergency Department attendances across England (Baracaia et al) is discussed in Catherine Hayhurst’s commentary.

This reminds us of the high prevalence of patients presenting with mental health symptoms to our departments, and stimulates thought about how we can better meet their needs. This is further illustrated by the papers looking at care pathways for patients with self-harm who use ambulance services (Zayed at al), and the mental health triage tool derived using waar kamagra bestellen a Delphi study by Mackway-Jones.Emergency departments and erectile dysfunction treatmentThis month sees three papers related to erectile dysfunction treatment. Walton et al describe some of the key themes from an operational perspective, faced by UK Emergency Departments.

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Involvement of patients in the analysis of the issue, patient-centred metrics, and a neat description of control charts and their use. Moreover, the simple ‘AEI’ communication tool described is one that I find elegant, effective and have adopted into my practice.Emergency mental health is part of our waar kamagra bestellen core business, although emergency department (ED) staff may have varying levels of comfort with this. We need to be as competent with the initial management of a patient with a mental health crisis as we are with trauma, sepsis or any other emergency.

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Welcome to the December edition of Emergency Medicine Journal, the final cheap kamagra 100mg http://www.em-jacques-sturm-strasbourg.ac-strasbourg.fr/wp/?p=365 one for 2020. This has been an ‘interesting’ year for Emergency Physicians and their departments, with many changes to working practices. We hope you are keeping well in these uncertain times.Vascular accessThe Editor’s choice this month is a randomised controlled trial (Chauvin et al) wherein patients cheap kamagra 100mg requiring blood gas measurement were randomised to arterial or venous sampling. While the findings of less pain and increased ease for venous sampling might not be surprising, it is surprising that the clinical utility of the biochemical data (as assessed by treating physician) is equivalent. This provides further evidence to support the move to venous blood gases for cheap kamagra 100mg most patients.Vascular access in paediatric patients is the focus of Girotto et als’ paper, which validates predictive rules (DIVA and DIVA3) for difficult venous access.

Of interest are the additional factors (nurse assessment of difficulty, and dehydration status of moderate severity or more) which identified difficult access when the rule had not predicted difficulty in siting a venous cannula.Targets. Achievement and effectsThere has long been intense cheap kamagra 100mg debate regarding the use of quality metrics to assess performance of Emergency Departments (cf the ‘Goodhart principle’). A number of papers in this month’s EMJ look at ‘targets’- the effect the presence of targets can have, and the ramifications of attempts to achieve targets.Sethi et al have used a ‘before and after’ study design to retrospectively assess the effect on Emergency Department Clinical Quality Indicators of hospital-wide interventions to improve patient flow through the hospital (the ‘Reader’s choice’ for this month). An improvement in the Emergency Department quality indicators cheap kamagra 100mg was demonstrated when a programme designed to improve patient flow through the hospital was undertaken. The authors suggest that this programme may have resulted in a hospital-wide focus on the issue of ‘exit block’ and this may have had a significant effect, by changing the ‘culture’ of the hospital.This is complemented neatly by two further papers in this month’s EMJ.

First, Paling et al, looks at waiting cheap kamagra 100mg times in Emergency Departments, using routinely collected hospital data. This paper suggests that higher bed occupancy, and higher numbers of long stay patients, increases the number of patients who remain in the Emergency Department beyond the ‘4 hour target (for England)’. Second, Man et al studied the long waiting times for Emergency Medical Services (EMS), due to delayed handover from ambulance to the Emergency Department (referred to as ‘ambulance ramping’). The interventions within the Emergency Department designed to improve achievement of the ‘4 hour target (for Australia)’ also reduced EMS wait times cheap kamagra 100mg. As with the Sethi paper, improving patient flow has a wider reaching impact.Another paper related to this topic is a validation of the NEDOCS overcrowding score, by Hargreaves et al.

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Walton et al describe some of the key themes from an operational perspective, faced by UK Emergency Departments. These themes will be familiar to many readers, as will some of the suggested solutions to the challenges.Choudhary and colleagues have looked at changes in clinical presentation of cardiovascular emergencies (acute coronary syndromes, rhythm disturbances and acute heart cheap kamagra 100mg failure) and their management during the kamagra. While the changes in patient behaviour (eg, reduced attendance) are well known, the changes in clinician behaviour (eg, increased use of thrombolysis) are not.The third paper describes changing patterns of Paediatric attendances to Emergency Departments in Canada during the kamagra (Goldman et al). The findings here will chime with us all.A simple communication toolA personal favourite of mine (notwithstanding a cheap kamagra 100mg conflict of interest!. ), is a report on a quality improvement initiative by Taher and colleagues.

This project looked at reducing patient anxiety and improving patient satisfaction in the ‘rapid assessment’ area of a busy Emergency Department. This paper has much to commend it cheap kamagra 100mg. Involvement of patients in the analysis of the issue, patient-centred metrics, and a neat description of control charts and their use. Moreover, the simple ‘AEI’ communication tool described is one that I find elegant, effective and have adopted into cheap kamagra 100mg my practice.Emergency mental health is part of our core business, although emergency department (ED) staff may have varying levels of comfort with this. We need to be as competent with the initial management of a patient with a mental health crisis as we are with trauma, sepsis or any other emergency.

To do this, we need compassion and empathy underpinned by cheap kamagra 100mg systems and training for all our staff. Our attitudes to patients in crisis are often the key to improvements in care. If we are honest, some ED staff are fearful and cheap kamagra 100mg worry that what they say may make a patient feel worse. Others may resent patients who come repeatedly in crisis. It helps to consider these patients just as we would patients with asthma cheap kamagra 100mg or diabetes who may also come ‘in crisis’.

Our role is to help get them through that crisis, with kindness and competence.A detailed look at Hospital Episode Statistics (HES) for England 2013/2014 by Baracaia et al in EMJ show that 4.9% of all ED attendances were coded as having a primary mental health diagnosis.1 Cumulative HES data have shown an average increase in mental health attendances of 11% per year since 20132 (figure 1) far in excess of total ED attendance increase (figure 2). National data from the USA show a 40.8% increase in ED visits for adult with a mental health presentation from 2009 to 2015.3 US paediatric visits for the same period rose by 56.5%3 and a worrying 2.5-fold increase over 3 years in the USA is reported for adolescents ED ….

Buy kamagra jelly uk

Over the past 20 years, a large body of research has documented a relationship between higher nurse-to-patient staffing ratios and better patient outcomes, including shorter hospital stays, lower rates of failure to prevent mortality after an in-hospital complication, inpatient mortality for http://www.pcmginc.com/where-to-get-female-viagra/ multiple types of patients, hospital-acquired pneumonia, unplanned extubation, respiratory failure and cardiac arrest.1–5 In buy kamagra jelly uk addition, patients report higher satisfaction when they are cared for in hospitals with higher staffing levels.6 7To date, most studies have not identified an ‘optimal’ nurse staffing ratio,8 which creates a challenge for determining appropriate staffing levels. If increasing nurse staffing always produces at least some improvement in the quality of care, how does one determine what staffing level is best?. This decision is ultimately an economic one, balancing the benefits of nurse staffing with the other options for buy kamagra jelly uk which those resources could be used. It is in this context that hospitals develop staffing plans, generally based on historical patterns of patient acuity.Practical challenges of nurse staffingHospital staffing plans provide the structure necessary for determining hiring and scheduling, but fall short for a number of reasons.

First, there are multiple ways in which patient acuity can be measured, which can have measurable effects on the staffing levels resulting from acuity models.9 Second, patient volume and buy kamagra jelly uk acuity can shift rapidly with changes in the volume of admissions, discharges and transfers between units. Third, staffing plans provide little guidance regarding the optimal mix of permanent staff, variable staff and externally contracted staff.The paper by Saville and colleagues10 in this issue of BMJ Quality &. Safety addresses the latter two issues by applying a simulation buy kamagra jelly uk model to identify the optimal target for baseline nurse staffing in order to minimise periods of understaffing. Included in this model is consideration of the extent to which hospitals should leverage temporary personnel (typically obtained through an external agency) to fill gaps.

The model acknowledges the buy kamagra jelly uk likelihood that a hospital cannot realistically prevent all shifts from having a shortfall of nurses at all times, as well as the reality that hospital managers lack information about the best balance between permanent and temporary staff. In addition, the analysis includes a calculation of the costs of each staffing approach, drawing from the records of 81 inpatient wards in four hospital organisations.The application of sophisticated simulation models and other advanced analyticl approaches to analysis of nurse staffing has been limited to date, and this paper is an exemplar of the value of such research. Recent studies have used machine learning methods to forecast hospital discharge volume,11 a discrete event simulation model to determine nursing staff needs buy kamagra jelly uk in a neonatal intensive care unit,12 and a prediction model using machine learning and hierarchical linear regression to link variation in nurse staffing with patient outcomes.13 This new study applied a unique Monte Carlo simulation model to estimate demand for nursing care and test different strategies to meet demand.The results of the analysis are not surprising in that hospitals are much less likely to experience understaffed patient shifts if they aim to have higher baseline staffing. The data demonstrate a notable leftward skew, indicating that hospitals are more likely to have large unanticipated increases in patient volume and acuity than to have unanticipated decreases.

This results in hospitals being more likely to have shifts that are understaffed than shifts that are overstaffed, which inevitably places pressure on hospitals to staff at a higher level and/or have access to buy kamagra jelly uk a larger pool of temporary nurses. It also is not surprising that hospitals will need to spend more money per patient day if they aim to reduce the percent of shifts that are understaffed. What is surprising about the results is that hospitals do not necessarily achieve cost savings by relying on temporary personnel versus setting regular staffing at a higher level.Trade-offs between permanent and temporary staffThe temporary nursing workforce enables healthcare facilities to maintain flexible yet full care teams based on patient care needs. Hospitals can buy kamagra jelly uk use temporary nurses to address staffing gaps during leaves of absence, turnover or gaps between recruitment of permanent nurses, as well as during high-census periods.

Temporary personnel are typically more expensive on an hourly basis than permanent staff. In addition, over-reliance on temporary staff buy kamagra jelly uk can have detrimental effects on permanent nurses’ morale and motivation. Orientations prior to shifts are often limited, which leads to a twofold concern as temporary nurses feel ill-prepared for shifts and permanent staff feel flustered when required to bring the temporary nurse up to speed while being expected to continue normal operations.14 Agency nurses may be assigned to patients and units that are incongruent with their experience and skills—either to unfamiliar units, which affects their ability to confidently deliver care, or to less complex patients where they feel as if their skills are not used adequately.14 15 These issues can create tension between temporary and permanent nursing staff, which can be compounded by the wage disparity. Permanent staff might feel demoralised and expendable when working alongside temporary staff who are not integrated into the social fabric of the staff.16Hospital managers also must be cognisant of the potential buy kamagra jelly uk quality impact of relying heavily on temporary nursing staff.

Research on the impact of contingent nursing employment on costs and quality have often found negative effects on quality, including mortality, and higher costs.17 18 However, other studies have found that the association between temporary nursing staff and low quality result from general shortages of nursing staff, which make a hospital more likely to employ temporary staff, and not directly from the contingent staff.19–21 Thus, temporary nurses play an important role in alleviating staffing shortages that would otherwise lead to lower quality of care.22Charting a path forward in hospital management and healthcare researchThe maturation of electronic health records and expansion of computerised healthcare management systems provide opportunities both for improved decision making about workforce deployment and for advanced workforce research. In the area of workforce management, nursing and other leaders have a growing buy kamagra jelly uk array of workforce planning tools available to them. Such tools are most effective when they display clear information about predicted patient needs and staff availability, but managers still must rely on their on-the-ground understanding of their staff and their context of patient care.23 Integration of human resources data with patient outcomes data has revealed that individual nurses and their characteristics have important discrete effects on the quality of care.24 25 Future development of workforce planning tools should translate this evidence to practice. In addition, new technology platforms are emerging to facilitate direct buy kamagra jelly uk matching between temporary healthcare personnel and healthcare organisations.

One recent study tested a smartphone-based application that allowed for direct matching of locum tenens physicians with a hospital in the English National Health Service, finding that the platform generated benefits including greater transparency and lower cost.26 Similar technologies for registered nurses could facilitate better matching between hospital needs and temporary nurses’ preparedness to meet those needs.Analytical methods that fully leverage the large datasets compiled through electronic health records, human resources systems and other sources can be applied to advance research on the composition of nursing teams to improve quality of care. As noted above, prior research has applied machine learning and discrete event simulation to analyses buy kamagra jelly uk of healthcare staffing. Other recent studies have leveraged natural language processing of nursing notes to identify fall risk factors27 and applied data mining of human resources records to understand the job titles held by nurses.28 Linking these rapidly advancing analytical approaches that assess the outcomes and costs of nurse staffing strategies, such as the work by Saville and colleagues published in this issue, to data on the impact of nurse staffing on the long-term costs of patient care will further advance the capacity of hospital leaders to design cost-effective policies for workforce deployment.Guidelines aim to align clinical care with best practice. However, simply publishing a guideline rarely triggers behavioural changes to match guideline recommendations.1–3 We thus transform guideline recommendations into actionable tasks by introducing interventions that promote behavioural changes meant to produce guideline-concordant care.

Unfortunately, not much has changed in the buy kamagra jelly uk 25 years since Oxman and colleagues concluded that we have no ‘magic bullets’ when it comes to changing clinician behaviour.4 In fact, far from magic bullets, interventions aimed at increasing the degree to which patients receive care recommended in guidelines (eg, educational interventions, reminders, audit and feedback, financial incentives, computerised decision support) typically produce disappointingly small improvements in care.5–10Much improvement work aims to ‘make the right thing to do the easy thing to do.’ Yet, design solutions which hardwire the desired actions remain few and far between. Further, improvement interventions which ‘softwire’ such actions—not guaranteeing that they occur, but at least increasing the likelihood that clinicians will deliver the care recommended in guidelines—mostly produce small improvements.5–9 Until this situation changes, we need to acknowledge the persistent reality that guidelines themselves represent a main strategy for promoting care consistent with current evidence, which means their design should promote the desired actions.11 12In this respect, guidelines constitute a type of clinical decision support. And, like buy kamagra jelly uk all decision support interventions, guidelines require. (1) user testing to assess if the content is understood as intended and (2) empirical testing to assess if the decision support provided by the guideline does in fact promote the desired behaviours.

While the processes for developing guidelines have received substantial attention over the years,13–18 surprisingly little buy kamagra jelly uk attention has been paid to empirically answering basic questions about the finished product. Do users understand guidelines as intended?. And, what version buy kamagra jelly uk of a given guideline engenders the desired behaviours by clinicians?. In this issue of BMJ Quality and Safety, Jones et al19 address this gap by using simulation to compare the frequency of medication errors when clinicians administer an intravenous medication using an existing guideline in the UK’s National Health Service (NHS) versus a revised and user-tested version of the guideline that more clearly promotes the desired actions.

Their findings demonstrate that changes to guideline design (through addition of actionable decision supports) based on user buy kamagra jelly uk feedback does in fact trigger changes in behaviour that can improve safety. This is an exciting use of simulation, which we believe should encourage further studies in this vein.Ensuring end users understand and use guidelines as intendedJones and colleagues’ approach affords an opportunity to reflect on the benefits of user testing and simulation of guidelines. The design and evaluation of buy kamagra jelly uk their revised guidelines provides an excellent example of a careful stepwise progression in the development and evaluation of a guideline as a type of decision support for clinicians. First, in a prior study,20 they user tested the original NHS guidelines to improve retrieval and comprehension of information.

The authors produced a revised guideline, which included reformatted sections as well as increased support for key calculations, such as for infusion rates. The authors again user buy kamagra jelly uk tested the revised guideline, successfully showing higher rates of comprehension. Note that user testing refers to a specific approach focused on comprehension rather than behaviour21 and is distinct from usability testing. Second, in the current study, Jones et al evaluated whether nurse and midwife end users exhibited the desired behavioural changes when given the revised guidelines (with addition of actionable decision supports), compared with a control group buy kamagra jelly uk working with the current version of the guidelines used in practice.

As a result, Jones and colleagues verify that end users (1) understand the content in the guideline and (2) actually change their behaviour in response to using it.Simulation can play a particularly useful role in this context, as it can help identify problems with users’ comprehension of the guideline and also empirically assess what behavioural changes occur in response to design changes in the guidelines. The level of methodological control and qualitative detail that simulation provides is difficult to feasibly replicate with real-world pilot studies, and therefore simulation fills a critical gap.Jones et al report successful changes in behaviour due to the revised guidelines in which they added actionable decision supports buy kamagra jelly uk. For example, their earlier user testing found that participants using the initial guidelines did not account for displacement volume when reconstituting the powdered drug, leading to dosing errors. A second buy kamagra jelly uk error with the initial guidelines involved participants using the shortest infusion rate provided (eg, guidelines state ‘1 to 3 hours’), without realising that the shortest rate is not appropriate for certain doses (eg, 1 hour is appropriate for smaller doses, but larger doses should not be infused over 1 hour because the drug would then be administered faster than the maximum allowable infusion rate of 3 mg/kg/hour).

These two issues were addressed in the revised guidelines by providing key determinants for ‘action’ such as calculation formulas that account for displacement volume and infusion duration, thereby more carefully guiding end users to avoid these dose and rate errors. These changes to the guideline triggered specific behaviours (eg, calculations buy kamagra jelly uk that account for all variables) that did not occur with the initial guidelines. Therefore, the simulation testing demonstrated the value of providing determinants for action, such as specific calculation formulas to support end users, by showing a clear reduction in dose and rate errors when using the revised guidelines compared with the initial guidelines.The authors also report that other types of medication-specific errors remained unaffected by the revised guidelines (eg, incorrect technique and flush errors)—the changes made did not facilitate the desired actions. The initial guidelines indicate ‘DO NOT SHAKE’ in capital buy kamagra jelly uk letters, and there is a section specific to ‘Flushing’.

In contrast, the revised guidelines do not capitalise the warning about shaking the vial, but embed the warning with a numbered sequence in the medication preparation section, aiming to increase the likelihood of reading it at the appropriate time. The revised guidelines do not have a section specific to flushing, but embed the flushing instructions as an unnumbered step in the administration section. Thus, the value of embedding technique and flushing information within the context of use buy kamagra jelly uk was not validated in the simulation testing (ie, no significant differences in the rates of these errors), highlighting precisely the pivotal role that simulation can play in assessing whether attempts to improve usability result in actual behavioural changes.Finally, simulation can identify potential unintended consequences of a guideline. For instance, Jones and colleagues observed an increase in errors (although not statistically significant) that were not medication specific (eg, non-aseptic technique such as hand washing, swabbing vials with an alcohol wipe).

Given that the revised guidelines were specific to the medication tested, it is unusual that we see a tendency toward a worsening buy kamagra jelly uk effect on generic medication preparation skills. Again, this finding was not significant, but we highlight this to remind ourselves of the very real possibility that some interventions might introduce new and unexpected errors in response to changing workflow and practice6. Simulations offer an opportunity to spot these risks in advance.Now that Jones et al have seen how buy kamagra jelly uk the revised guidelines change behaviour, they are optimally positioned to move forward. On one hand, they have the option of revising the guidelines further in attempts to address these resistant errors, and on the other, they can consider designing other interventions to be implemented in parallel with their user-tested guidance.

At first glance, the errors that were buy kamagra jelly uk resistant to change appear to be mechanical tasks that end users might think of as applying uniformly to multiple medications (eg, flush errors, non-aseptic technique). Therefore, a second intervention that has a more general scope (rather than drug specific) might be pursued. Regardless of what they decide to pursue, we applaud their measured approach and highlight that the key takeaway is that their next steps are supported with clearer evidence of what to expect when the guidelines are released—certainly a helpful piece of information to guide decisions as to whether broad implementation of guidelines is justified.Caveats and conclusionSimulation is not a panacea—it is not buy kamagra jelly uk able to assess longitudinal adherence, and there are limitations to how realistically clinicians behave when observed for a few sample procedures when under the scrutiny of observers. Further, studies where interventions are implemented to assess whether they move the needle on the outcomes we care about (eg, adverse events, length of stay, patient mortality) are needed and should continue.

However, having end users physically perform clinical tasks with the intervention in representative environments represents an important strategy to assess the degree to which guidelines and other decision support interventions in fact promote the desired behaviours and to spot problems in advance of implementation. Such simulation testing is not currently a routine step in intervention design. We hope it becomes a more common phenomenon, with more improvement work following the example of the approach so effectively demonstrated by Jones and colleagues..

Over the past 20 years, a large body of research has documented a relationship between higher nurse-to-patient staffing cheap kamagra 100mg ratios and better patient outcomes, including shorter hospital stays, lower rates of failure to prevent mortality after an in-hospital complication, inpatient mortality for multiple types of patients, hospital-acquired pneumonia, unplanned http://www.pcmginc.com/where-to-get-female-viagra/ extubation, respiratory failure and cardiac arrest.1–5 In addition, patients report higher satisfaction when they are cared for in hospitals with higher staffing levels.6 7To date, most studies have not identified an ‘optimal’ nurse staffing ratio,8 which creates a challenge for determining appropriate staffing levels. If increasing nurse staffing always produces at least some improvement in the quality of care, how does one determine what staffing level is best?. This decision is ultimately an economic one, balancing cheap kamagra 100mg the benefits of nurse staffing with the other options for which those resources could be used. It is in this context that hospitals develop staffing plans, generally based on historical patterns of patient acuity.Practical challenges of nurse staffingHospital staffing plans provide the structure necessary for determining hiring and scheduling, but fall short for a number of reasons.

First, there are multiple ways in which patient acuity can be measured, which can have measurable effects on the staffing levels resulting from acuity models.9 Second, patient volume and acuity can shift rapidly with changes cheap kamagra 100mg in the volume of admissions, discharges and transfers between units. Third, staffing plans provide little guidance regarding the optimal mix of permanent staff, variable staff and externally contracted staff.The paper by Saville and colleagues10 in this issue of BMJ Quality &. Safety addresses the latter two issues by applying a simulation model to identify the optimal target for baseline nurse staffing in cheap kamagra 100mg order to minimise periods of understaffing. Included in this model is consideration of the extent to which hospitals should leverage temporary personnel (typically obtained through an external agency) to fill gaps.

The model acknowledges the likelihood that a hospital cannot realistically prevent all shifts from having a shortfall of nurses at all times, as well cheap kamagra 100mg as the reality that hospital managers lack information about the best balance between permanent and temporary staff. In addition, the analysis includes a calculation of the costs of each staffing approach, drawing from the records of 81 inpatient wards in four hospital organisations.The application of sophisticated simulation models and other advanced analyticl approaches to analysis of nurse staffing has been limited to date, and this paper is an exemplar of the value of such research. Recent studies have used machine learning methods to forecast hospital discharge volume,11 a discrete event simulation model to determine nursing staff needs in a neonatal intensive care unit,12 and a prediction model using machine learning and hierarchical linear regression to link variation in nurse staffing with patient outcomes.13 This new study applied a unique Monte Carlo simulation model to estimate demand for nursing care and test different strategies to meet demand.The cheap kamagra 100mg results of the analysis are not surprising in that hospitals are much less likely to experience understaffed patient shifts if they aim to have higher baseline staffing. The data demonstrate a notable leftward skew, indicating that hospitals are more likely to have large unanticipated increases in patient volume and acuity than to have unanticipated decreases.

This results in hospitals being more likely to have shifts that are understaffed than shifts that are overstaffed, which inevitably places pressure on hospitals to staff at a higher level and/or have access to a larger cheap kamagra 100mg pool of temporary nurses. It also is not surprising that hospitals will need to spend more money per patient day if they aim to reduce the percent of shifts that are understaffed. What is surprising about the results is that hospitals do not necessarily achieve cost savings by relying on temporary personnel versus setting regular staffing at a higher level.Trade-offs between permanent and temporary staffThe temporary nursing workforce enables healthcare facilities to maintain flexible yet full care teams based on patient care needs. Hospitals can use temporary nurses to address staffing gaps during leaves of absence, cheap kamagra 100mg turnover or gaps between recruitment of permanent nurses, as well as during high-census periods.

Temporary personnel are typically more expensive on an hourly basis than permanent staff. In addition, cheap kamagra 100mg over-reliance on temporary staff can have detrimental effects on permanent nurses’ morale and motivation. Orientations prior to shifts are often limited, which leads to a twofold concern as temporary nurses feel ill-prepared for shifts and permanent staff feel flustered when required to bring the temporary nurse up to speed while being expected to continue normal operations.14 Agency nurses may be assigned to patients and units that are incongruent with their experience and skills—either to unfamiliar units, which affects their ability to confidently deliver care, or to less complex patients where they feel as if their skills are not used adequately.14 15 These issues can create tension between temporary and permanent nursing staff, which can be compounded by the wage disparity. Permanent staff might feel demoralised and expendable when cheap kamagra 100mg working alongside temporary staff who are not integrated into the social fabric of the staff.16Hospital managers also must be cognisant of the potential quality impact of relying heavily on temporary nursing staff.

Research on the impact of contingent nursing employment on costs and quality have often found negative effects on quality, including mortality, and higher costs.17 18 However, other studies have found that the association between temporary nursing staff and low quality result from general shortages of nursing staff, which make a hospital more likely to employ temporary staff, and not directly from the contingent staff.19–21 Thus, temporary nurses play an important role in alleviating staffing shortages that would otherwise lead to lower quality of care.22Charting a path forward in hospital management and healthcare researchThe maturation of electronic health records and expansion of computerised healthcare management systems provide opportunities both for improved decision making about workforce deployment and for advanced workforce research. In the area of workforce management, nursing and other leaders have cheap kamagra 100mg a growing array of workforce planning tools available to them. Such tools are most effective when they display clear information about predicted patient needs and staff availability, but managers still must rely on their on-the-ground understanding of their staff and their context of patient care.23 Integration of human resources data with patient outcomes data has revealed that individual nurses and their characteristics have important discrete effects on the quality of care.24 25 Future development of workforce planning tools should translate this evidence to practice. In addition, new technology platforms are emerging to facilitate direct matching between cheap kamagra 100mg temporary healthcare personnel and healthcare organisations.

One recent study tested a smartphone-based application that allowed for direct matching of locum tenens physicians with a hospital in the English National Health Service, finding that the platform generated benefits including greater transparency and lower cost.26 Similar technologies for registered nurses could facilitate better matching between hospital needs and temporary nurses’ preparedness to meet those needs.Analytical methods that fully leverage the large datasets compiled through electronic health records, human resources systems and other sources can be applied to advance research on the composition of nursing teams to improve quality of care. As noted above, prior research has applied cheap kamagra 100mg machine learning and discrete event simulation to analyses of healthcare staffing. Other recent studies have leveraged natural language processing of nursing notes to identify fall risk factors27 and applied data mining of human resources records to understand the job titles held by nurses.28 Linking these rapidly advancing analytical approaches that assess the outcomes and costs of nurse staffing strategies, such as the work by Saville and colleagues published in this issue, to data on the impact of nurse staffing on the long-term costs of patient care will further advance the capacity of hospital leaders to design cost-effective policies for workforce deployment.Guidelines aim to align clinical care with best practice. However, simply publishing a guideline rarely triggers behavioural changes to match guideline recommendations.1–3 We thus transform guideline recommendations into actionable tasks by introducing interventions that promote behavioural changes meant to produce guideline-concordant care.

Unfortunately, not much has changed in the 25 years since Oxman and colleagues concluded that we have no ‘magic bullets’ when it comes to changing clinician cheap kamagra 100mg behaviour.4 In fact, far from magic bullets, interventions aimed at increasing the degree to which patients receive care recommended in guidelines (eg, educational interventions, reminders, audit and feedback, financial incentives, computerised decision support) typically produce disappointingly small improvements in care.5–10Much improvement work aims to ‘make the right thing to do the easy thing to do.’ Yet, design solutions which hardwire the desired actions remain few and far between. Further, improvement interventions which ‘softwire’ such actions—not guaranteeing that they occur, but at least increasing the likelihood that clinicians will deliver the care recommended in guidelines—mostly produce small improvements.5–9 Until this situation changes, we need to acknowledge the persistent reality that guidelines themselves represent a main strategy for promoting care consistent with current evidence, which means their design should promote the desired actions.11 12In this respect, guidelines constitute a type of clinical decision support. And, like cheap kamagra 100mg all decision support interventions, guidelines require. (1) user testing to assess if the content is understood as intended and (2) empirical testing to assess if the decision support provided by the guideline does in fact promote the desired behaviours.

While the processes for developing guidelines have received substantial attention over the years,13–18 surprisingly little attention has been paid to empirically answering basic questions about the cheap kamagra 100mg finished product. Do users understand guidelines as intended?. And, what version of a given guideline engenders the cheap kamagra 100mg desired behaviours by clinicians?. In this issue of BMJ Quality and Safety, Jones et al19 address this gap by using simulation to compare the frequency of medication errors when clinicians administer an intravenous medication using an existing guideline in the UK’s National Health Service (NHS) versus a revised and user-tested version of the guideline that more clearly promotes the desired actions.

Their findings demonstrate cheap kamagra 100mg that changes to guideline design (through addition of actionable decision supports) based on user feedback does in fact trigger changes in behaviour that can improve safety. This is an exciting use of simulation, which we believe should encourage further studies in this vein.Ensuring end users understand and use guidelines as intendedJones and colleagues’ approach affords an opportunity to reflect on the benefits of user testing and simulation of guidelines. The design and evaluation of their revised guidelines provides an excellent example of a careful stepwise progression in the development and evaluation of a guideline as a type of decision support for cheap kamagra 100mg clinicians. First, in a prior study,20 they user tested the original NHS guidelines to improve retrieval and comprehension of information.

The authors produced a revised guideline, which included reformatted sections as well as increased support for key calculations, such as for infusion rates. The authors again user tested the revised cheap kamagra 100mg guideline, successfully showing higher rates of comprehension. Note that user testing refers to a specific approach focused on comprehension rather than behaviour21 and is distinct from usability testing. Second, in the current study, Jones et al evaluated whether nurse and midwife end users exhibited the desired behavioural changes when given the revised guidelines (with addition of actionable decision supports), compared with a control group working with the current cheap kamagra 100mg version of the guidelines used in practice.

As a result, Jones and colleagues verify that end users (1) understand the content in the guideline and (2) actually change their behaviour in response to using it.Simulation can play a particularly useful role in this context, as it can help identify problems with users’ comprehension of the guideline and also empirically assess what behavioural changes occur in response to design changes in the guidelines. The level of methodological control and qualitative detail cheap kamagra 100mg that simulation provides is difficult to feasibly replicate with real-world pilot studies, and therefore simulation fills a critical gap.Jones et al report successful changes in behaviour due to the revised guidelines in which they added actionable decision supports. For example, their earlier user testing found that participants using the initial guidelines did not account for displacement volume when reconstituting the powdered drug, leading to dosing errors. A second error with the initial guidelines involved cheap kamagra 100mg participants using the shortest infusion rate provided (eg, guidelines state ‘1 to 3 hours’), without realising that the shortest rate is not appropriate for certain doses (eg, 1 hour is appropriate for smaller doses, but larger doses should not be infused over 1 hour because the drug would then be administered faster than the maximum allowable infusion rate of 3 mg/kg/hour).

These two issues were addressed in the revised guidelines by providing key determinants for ‘action’ such as calculation formulas that account for displacement volume and infusion duration, thereby more carefully guiding end users to avoid these dose and rate errors. These changes to the guideline triggered specific behaviours (eg, calculations cheap kamagra 100mg that account for all variables) that did not occur with the initial guidelines. Therefore, the simulation testing demonstrated the value of providing determinants for action, such as specific calculation formulas to support end users, by showing a clear reduction in dose and rate errors when using the revised guidelines compared with the initial guidelines.The authors also report that other types of medication-specific errors remained unaffected by the revised guidelines (eg, incorrect technique and flush errors)—the changes made did not facilitate the desired actions. The initial guidelines indicate ‘DO NOT SHAKE’ in capital letters, and there is a section specific cheap kamagra 100mg to ‘Flushing’.

In contrast, the revised guidelines do not capitalise the warning about shaking the vial, but embed the warning with a numbered sequence in the medication preparation section, aiming to increase the likelihood of reading it at the appropriate time. The revised guidelines do not have a section specific to flushing, but embed the flushing instructions as an unnumbered step in the administration section. Thus, the value of embedding technique and flushing information within the context of use was cheap kamagra 100mg not validated in the simulation testing (ie, no significant differences in the rates of these errors), highlighting precisely the pivotal role that simulation can play in assessing whether attempts to improve usability result in actual behavioural changes.Finally, simulation can identify potential unintended consequences of a guideline. For instance, Jones and colleagues observed an increase in errors (although not statistically significant) that were not medication specific (eg, non-aseptic technique such as hand washing, swabbing vials with an alcohol wipe).

Given that the revised guidelines were specific to the medication tested, it is unusual that we cheap kamagra 100mg see a tendency toward a worsening effect on generic medication preparation skills. Again, this finding was not significant, but we highlight this to remind ourselves of the very real possibility that some interventions might introduce new and unexpected errors in response to changing workflow and practice6. Simulations offer an opportunity to spot these risks in advance.Now that Jones et al have seen how the revised guidelines change behaviour, they cheap kamagra 100mg are optimally positioned to move forward. On one hand, they have the option of revising the guidelines further in attempts to address these resistant errors, and on the other, they can consider designing other interventions to be implemented in parallel with their user-tested guidance.

At first glance, the errors that were resistant to change appear to be mechanical tasks that end users might think of as cheap kamagra 100mg applying uniformly to multiple medications (eg, flush errors, non-aseptic technique). Therefore, a second intervention that has a more general scope (rather than drug specific) might be pursued. Regardless of what they decide to pursue, we applaud their measured approach and highlight that the key takeaway is that their next steps are supported with clearer evidence of what to expect when the guidelines are released—certainly a helpful piece of information to guide decisions as to whether broad implementation of guidelines is justified.Caveats and conclusionSimulation is not a panacea—it is not able to assess longitudinal adherence, cheap kamagra 100mg and there are limitations to how realistically clinicians behave when observed for a few sample procedures when under the scrutiny of observers. Further, studies where interventions are implemented to assess whether they move the needle on the outcomes we care about (eg, adverse events, length of stay, patient mortality) are needed and should continue.

However, having end users physically perform clinical tasks with the intervention in representative environments represents an important strategy to assess the degree to cheap kamagra 100mg which guidelines and other decision support interventions in fact promote the desired behaviours and to spot problems in advance of implementation. Such simulation testing is not currently a routine step in intervention design. We hope it becomes a more common phenomenon, with more improvement work following the example of the approach so effectively demonstrated by Jones and colleagues..