Analysis of policy interventions to attract and retain nurse midwives in rural areas of Malawi: A discrete choice experiment.

BACKGROUND: Inadequate and unequal distribution of health workers are significant barriers to provision of health services in Malawi, and challenges retaining health workers in rural areas have limited scale-up initiatives. This study therefore aims to estimate cost-effectiveness of monetary and non-monetary strategies in attracting and retaining nurse midwife technicians (NMTs) to rural areas of Malawi. METHODS: The study uses a discrete choice experiment (DCE) methodology to investigate importance of job characteristics, probability of uptake, and intervention costs. Interviews and focus groups were conducted with NMTs and students to identify recruitment and retention motivating factors. Through policymaker consultations, qualitative findings were used to identify job attributes for the DCE questionnaire, administered to 472 respondents. A conditional logit regression model was developed to produce probability of choosing a job with different attributes and an uptake rate was calculated to estimate the percentage of health workers that would prefer jobs with specific intervention packages. Attributes were costed per health worker year. RESULTS: Qualitative results highlighted housing, facility quality, management, and workload as important factors in job selection. Respondents were 2.04 times as likely to choose a rural job if superior housing was provided compared to no housing (CI 1.71-2.44, p<0.01), and 1.70 times as likely to choose a rural job with advanced facility quality (CI 1.47-1.96, p<0.01). At base level 43.9% of respondents would choose a rural job. This increased to 61.5% if superior housing was provided, and 72.5% if all facility-level improvements were provided, compared to an urban job without these improvements. Facility-level interventions had the lowest cost per health worker year. CONCLUSIONS: Our results indicate housing and facility-level improvements have the greatest impact on rural job choice, while also creating longer-term improvements to health workers' living and working environments. These results provide practical evidence for policymakers to support development of workforce recruitment and retention strategies.

Incorporating a Civility Program Into a Healthcare System: Journey or Expedition?

PURPOSE/OBJECTIVES: Incivility contributes to employee dissatisfaction, turnover, patient errors, and a disrespectful culture. Turnover rates and employee exit interviews alerted hospital leaders to uncivil behaviors exhibited by staff. A clinical nurse specialist (CNS) team captured this as an opportunity to create a civility program to develop team cohesiveness and improve patient safety. The purpose of this process improvement project was to identify uncivil behaviors in a pediatric hospital. DESCRIPTION OF THE PROJECT/PROGRAM: Using the Plan-Do-Study-Act model, an interprofessional team led by CNSs collaborated on a program to assess, intervene, and evaluate a program to improve civility. A preprogram survey, the Negative Acts Questionnaire-Revised, was used to assess staff perceptions of their work environment. Staff attended an education program on ways to recognize and intervene in situations involving less than standard civil behavior. Classes included communication application in uncivil situations using scenarios paired with evidence-based practice articles. Unit leaders reset behavioral expectations learned from a leader-specific class on managing unproductive behaviors. OUTCOME: Staff completed a postprogram Negative Acts Questionnaire-Revised survey 6 months after conclusion of classes. Survey results indicated the civility program effected a reduction in frequency of negative behaviors indicating an overall positive shift in workplace civility. CONCLUSION: The program provided staff with tools to recognize and intervene for improving civility, which impacted the overall work environment and patient safety.

Friction Costs and the Chain of Vacancies Problem: A Novel Vacancy Multiplier Solution.

OBJECTIVES: A key criticism of applying the friction cost approach (FCA) to productivity cost estimation is its focus on a single friction period. A more accurate estimate of the friction cost of worker absence requires consideration of the chain of secondary vacancies arising from the opening of a new primary vacancy. Currently, empirical evidence on this is almost absent. We suggest an original approach to empirically estimate productivity costs that include a chain of secondary vacancies. METHODS: The vacancy multiplier is based on labor market flows and transition probabilities between states of employment, unemployment, and economic inactivity. It is a summed infinite geometric series using a common ratio et - the probability of an employed person filling a new job vacancy in a given year. We report vacancy multipliers for 30 European countries for 2011-2019. RESULTS: The average multiplier across Europe is 2.21 (standard deviation [SD] = 0.40) in 2019, meaning that every new primary vacancy created a chain of secondary vacancies that increased the primary friction cost by a factor of 2.21. The equivalent multiplier is 1.99 (SD = 0.37) between 2011 and 2019. Romania had the lowest country-specific multiplier (1.11 in 2011), and Greece the highest (4.51 in 2011). CONCLUSIONS: Our results highlight the extent of underestimation of current FCA costs, comprise a resource for future researchers, and provide an implementable formula to compute the multiplier for other countries.

An Analysis of Restructuring Orientation to Enhance Nurse Retention.

The nursing shortage has received much media attention; however, something that contributes to it-nurse turnover-has not received the same attention. Facilities spend time and money to train new employees only to have them leave within a few months. Staff morale, money, time, and quality of care are all affected by nurse turnover. The fact that it often occurs so soon after one takes a position makes it pertinent to look at the process of transition into the new position, namely, the orientation program. This article examines the turnover statistics, costs, rationale, and orientation programs that have proven positive results. It is hoped that the findings can assist health care facilities to replicate successful orientation programs and reduce nurse turnover.

The Financial Cost of Medical Assistant Turnover in an Academic Family Medicine Center.

INTRODUCTION: Primary care clinics increasingly hire medical assistants (MAs) to perform a variety of clinical and administrative tasks. Anecdotal reports suggest that MA turnover is high, but no studies to date have calculated the rate or cost of MA turnover. The purpose of this study was to calculate the rate of MA turnover and associated costs in a single, large academic Family Medicine clinic. METHODS: Retrospective data were collected from clinic administrators regarding MA turnover, overtime worked, salaries and benefits as well as administrator salaries and benefits and the amount of administrator time spent in MA hiring, training, and termination in 2017. RESULTS: During 2017, MA turnover rate was 59%. The total estimated cost of MA turnover was $213,000. The per-MA cost of turnover was $14,200, or approximately 40% of the average annual salary of MAs. CONCLUSION: Turnover rate in this practice was similar to other estimates of primary care clinic staff and allied health professionals. The estimated cost of MA turnover relative to annual salary was significantly greater than that in other fields, likely reflecting the costs of training MAs. Establishing a method for calculating the turnover rate and costs can allow other healthcare systems to better describe turnover and evaluate retention strategies.

Predictive Hiring to Maintain Excellence in Patient Care.

OBJECTIVE: The purpose of this research study was to design and pilot a predictive hiring model to improve the hospital's operational vacancy rate and reduce premium pay expenses. BACKGROUND: According to Purcell, the average nursing turnover rate is at 18.2%, and the new-graduate nurse turnover rate is higher at 35%. With turnover rates high for nurses, the importance of recruiting, hiring, and training the new nurse needs to be completed as soon as possible. Often, a nurse manager cannot interview and hire into a position until it is vacated. Premium pay including overtime is typically used to cover the time from the position being vacated until the next nurse is trained. METHODS: This was a pretest/posttest design with a predictive hiring model intervention. The intervention was a 3-pronged approach that consisted of a strategy for recruiting graduate nurses, hiring to operation vacancy rates, and utilizing a predictive hiring method. Operational vacancy is a calculation to determine if a department has the right amount of hired labor available to work scheduled shifts without having to routinely rely on agency nurses and/or premium pay. These are people ready to work. RESULTS: The hospital significantly decreased premium pay and eliminated the use of agency nurses by implementing a predictive hiring model tailored to the department's operational vacancy. CONCLUSIONS: A predictive model is a useful vehicle in assisting nurse managers to plan and replace positions more quickly. The model needs continued testing to support application beyond the testing site.

The economic case for meeting employees' needs.

AIM: The purpose of this article was to demonstrate that health care organisations stand to benefit financially by accommodating the needs of nursing staff. BACKGROUND: Nurse turnover results in major financial losses in health care, and inadequate staffing resulting from turnover negatively affects patient outcomes, which further drives up health care costs. Strategies to limit nurse turnover are available and crucial in the quest for health care sustainability. EVALUATION: Economic theory was presented to underpin evidence from business, education, and health disciplines literature, and from case studies of industry best practices in employee retention. This multidisciplinary analysis was applied to the retention of nurses in health care organisations. CONCLUSION: Significant reductions in nurse turnover lead to considerable financial benefit to employers. Reductions can be achieved when employers accommodate the needs of their staff. Further investigation of specific incentive models, and the transferability of those models, is needed. Incentive programmes may be matched to specific nurse needs to decrease turnover. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing leaders have the opportunity to discover the unique need of their workforces and invest in incentive programmes to fulfil those needs.

Therapist Financial Strain and Turnover: Interactions with System-Level Implementation of Evidence-Based Practices.

Therapist turnover is a major problem in community mental health. Financial strain, which is composed of cognitive, emotional, and behavioral responses to the experience of economic hardship, is an understudied antecedent of therapist turnover given the tumultuous financial environment in community mental health. We prospectively examined the relationship between therapist financial strain and turnover in 247 therapists in 28 community mental health agencies. We expected greater therapist financial strain to predict higher turnover and participation in a system-funded evidence-based practice (EBP) training initiative to alleviate this effect. Controlling for covariates, financial strain predicted therapist turnover (OR 1.12, p = .045), but not for therapists who participated in an EBP training initiative. Reducing financial strain and/or promoting EBP implementation may be levers to reduce turnover.

Estimating the Attributable Cost of Physician Burnout in the United States.

Background: Although physician burnout is associated with negative clinical and organizational outcomes, its economic costs are poorly understood. As a result, leaders in health care cannot properly assess the financial benefits of initiatives to remediate physician burnout. Objective: To estimate burnout-associated costs related to physician turnover and physicians reducing their clinical hours at national (U.S.) and organizational levels. Design: Cost-consequence analysis using a mathematical model. Setting: United States. Participants: Simulated population of U.S. physicians. Measurements: Model inputs were estimated by using the results of contemporary published research findings and industry reports. Results: On a national scale, the conservative base-case model estimates that approximately $4.6 billion in costs related to physician turnover and reduced clinical hours is attributable to burnout each year in the United States. This estimate ranged from $2.6 billion to $6.3 billion in multivariate probabilistic sensitivity analyses. At an organizational level, the annual economic cost associated with burnout related to turnover and reduced clinical hours is approximately $7600 per employed physician each year. Limitations: Possibility of nonresponse bias and incomplete control of confounders in source data. Some parameters were unavailable from data and had to be extrapolated. Conclusion: Together with previous evidence that burnout can effectively be reduced with moderate levels of investment, these findings suggest substantial economic value for policy and organizational expenditures for burnout reduction programs for physicians.

Costs and effects of higher turnover of nurses and Aboriginal health practitioners and higher use of short-term nurses in remote Australian primary care services: an observational cohort study.

OBJECTIVES: To compare the costs and effects of higher turnover of resident nurses and Aboriginal health practitioners and higher use of agency-employed nurses in remote primary care (PC) services and quantify associations between staffing patterns and health outcomes in remote PC clinics in the Northern Territory (NT) of Australia. DESIGN: Observational cohort study, using hospital admission, financial and payroll data for the period 2013-2015. SETTING: 53 NT Government run PC clinics in remote communities. OUTCOME MEASURES: Incremental cost-effectiveness ratios were calculated for higher compared with lower turnover and higher compared with lower use of agency-employed nurses. Costs comprised PC, travel and hospitalisation costs. Effect measures were total hospitalisations and years of life lost per 1000 person-months. Multiple regression was performed to investigate associations between overall health costs and turnover rates and use of agency-employed nurses, after adjusting for key confounders. RESULTS: Higher turnover was associated with significantly higher hospitalisation rates (p<0.001) and higher average health costs (p=0.002) than lower turnover. Lower turnover was always more cost-effective. Average costs were significantly (p<0.001) higher when higher proportions of agency-employed nurses were employed. The probability that lower use of agency-employed nurses was more cost-effective was 0.84. Halving turnover and reducing use of a short-term workforce have the potential to save $32 million annually in the NT. CONCLUSION: High turnover of health staff is costly and associated with poorer health outcomes for Aboriginal peoples living in remote communities. High reliance on agency nurses is also very likely to be cost-ineffective. Investment in a coordinated range of workforce strategies that support recruitment and retention of resident nurses and Aboriginal health practitioners in remote clinics is needed to stabilise the workforce, minimise the risks of high staff turnover and over-reliance on agency nurses and thereby significantly reduce expenditure and improve health outcomes.

Cost impact of high staff turnover on primary care in remote Australia.

Objectives The aim of this study was to estimate the costs of providing primary care and quantify the cost impact of high staff turnover in Northern Territory (NT) remote communities. Methods This cost impact assessment used administrative data from NT Department of Health datasets, including the government accounting system and personnel information and payroll systems between 2004 and 2015, and the primary care information system from 2007 to 2015. Data related to 54 government-managed clinics providing primary care for approximately 27200 Aboriginal and non-Aboriginal people. Main outcome measures were average costs per consultation and per capita, cost differentials by clinic, year and levels of staff turnover. Linear regression and dominance analysis were used to assess the effect of staff turnover on primary care costs, after adjusting for remoteness and weighting analysis by service population. Both current and constant prices were used. Results On average, in constant prices, there was a nearly 10% annual increase in remote clinic expenditure between 2004 and 2015 and an almost 15% annual increase in consultation numbers since 2007. In real terms, the average costs per consultation decreased markedly from A$273 in 2007 to A$197 in 2015, a figure still well above the Medicare bulk-billing rate. The cost differentials between clinics were proportional to staff turnover and remoteness (both P<0.001). A 10% higher annual turnover rate pertains to an A$6.12 increase in costs per consultation. Conclusions High staff turnover exacerbates the already high costs of providing primary care in remote areas, costing approximately A$50 extra per consultation. This equates to an extra A$400000 per clinic per year on average, or A$21million annually for the NT government. Over time, sustained investments in developing a more stable primary care workforce should not only improve primary care in remote areas, but also reduce the costs of excessive turnover and overall service delivery costs. What is known about the topic? Population size and geographical remoteness are important cost drivers in remote clinics, whereas elsewhere in Australia the high use of short-term staff to fill positions has been identified as a major contributor to higher nurse turnover costs and to overall health service costs. Nursing staff expenditure accounts for a large proportion (46%) of total expenditure in NT remote health services, whereas expenditure on Aboriginal Health Practitioners (AHPs) comprises only 6%. Annual nurse turnover rates in remote NT clinics average approximately 150%, whereas levels of 40% in other contexts are considered high. What does this paper add? Annual expenditure for NT remote clinics has increased, on average, by 10% per annum between 2004 and 2015, but small declines in real expenditure have been observed from a maximum in 2012. Expenditure on nursing staff comprises 40% of overall expenditure in remote clinics, whereas expenditure on AHPs comprises less than 5%. The cost impact of every 10% increase in remote nurse and AHP annual turnover has been quantified as an extra A$6.12 per primary care consultation, which equates, on average, to an extra A$400000 per remote clinic, and an extra A$21million overall for the NT Department of Health each year. The average real expenditure per primary care consultation has decreased from A$273 in 2007 to A$197 in 2015, representing a statistically significant linear trend reduction of A$7.71 per consultation annually. What are the implications for practitioners (and other decision-makers)? Adjusting policy settings away from the high use of short-term staff to investment in appropriate training 'pipelines' for the remote primary care workforce may, in the medium and longer term, result in reduced turnover of resident staff and associated cost savings. Targeted recruitment and retention strategies that ensure individual primary care workers are an optimal fit with the remote communities in which they work, together with improved professional and personal support for staff residing in remote communities, may also help reduce turnover, improve workforce stability and lead to stronger therapeutic relationships and better health outcomes.

Estimating institutional physician turnover attributable to self-reported burnout and associated financial burden: a case study.

BACKGROUND: Awareness of the economic cost of physician attrition due to burnout in academic medical centers may help motivate organizational level efforts to improve physician wellbeing and reduce turnover. Our objectives are: 1) to use a recent longitudinal data as a case example to examine the associations between physician self-reported burnout, intent to leave (ITL) and actual turnover within two years, and 2) to estimate the cost of physician turnover attributable to burnout. METHODS: We used de-identified data from 472 physicians who completed a quality improvement survey conducted in 2013 at two Stanford University affiliated hospitals to assess physician wellness. To maintain the confidentially of survey responders, potentially identifiable demographic variables were not used in this analysis. A third party custodian of the data compiled turnover data in 2015 using medical staff roster. We used logistic regression to adjust for potentially confounding factors. RESULTS: At baseline, 26% of physicians reported experiencing burnout and 28% reported ITL within the next 2 years. Two years later, 13% of surveyed physicians had actually left. Those who reported ITL were more than three times as likely to have left. Physicians who reported experiencing burnout were more than twice as likely to have left the institution within the two-year period (Relative Risk (RR) = 2.1; 95% CI = 1.3-3.3). After adjusting for surgical specialty, work hour categories, sleep-related impairment, anxiety, and depression in a logistic regression model, physicians who experienced burnout in 2013 had 168% higher odds (Odds Ratio = 2.68, 95% CI: 1.34-5.38) of leaving Stanford by 2015 compared to those who did not experience burnout. The estimated two-year recruitment cost incurred due to departure attributable to burnout was between $15,544,000 and $55,506,000. Risk of ITL attributable to burnout was 3.7 times risk of actual turnover attributable to burnout. CONCLUSIONS: Institutions interested in the economic cost of turnover attributable to burnout can readily calculate this parameter using survey data linked to a subsequent indicator of departure from the institution. ITL data in cross-sectional studies can also be used with an adjustment factor to correct for overestimation of risk of intent to leave attributable to burnout.

Nurse manager succession planning: A cost-benefit analysis.

AIM: This commentary presents a cost-benefit analysis to advocate for the use of succession planning to mitigate the problems ensuing from nurse manager turnover. BACKGROUND: An estimated 75% of nurse managers will leave the workforce by 2020. Many benefits are associated with proactively identifying and developing internal candidates. Fewer than 7% of health care organisations have implemented formal leadership succession planning programmes. EVALUATION: A cost-benefit analysis of a formal succession-planning programme from one hospital illustrates the benefits of the programme in their organisation and can be replicated easily. KEY ISSUES: Assumptions of nursing manager succession planning cost-benefit analysis are identified and discussed. The succession planning exemplar demonstrates the integration of cost-benefit analysis principles. CONCLUSION: Comparing the costs of a formal nurse manager succession planning strategy with the status quo results in a positive cost-benefit ratio. IMPLICATIONS FOR NURSING MANAGEMENT: The implementation of a formal nurse manager succession planning programme effectively reduces replacement costs and time to transition into the new role. This programme provides an internal pipeline of future leaders who will be more successful than external candidates. Using an actual cost-benefit analysis equips nurse managers with valuable evidence depicting succession planning as a viable business strategy.

A Substance Use Cost Calculator for US Employers With an Emphasis on Prescription Pain Medication Misuse.

OBJECTIVE: Substance use disorders are among the most common and costly health conditions affecting Americans. Despite estimates of national costs exceeding $400 billion annually, individual companies may not see how substance use impacts their bottom lines through lost productivity and absenteeism, turnover, health care expenses, disability, and workers' compensation. METHODS: Data on employed adults (18 years and older) from 3 years (2012 to 2014) of the National Survey on Drug Use and Health Public Use Data Files were analyzed. RESULTS: The results offer employers an authoritative, free, epidemiologically grounded, and easy-to-use tool that gives specific information about how alcohol, prescription pain medication misuse, and illicit drug use is likely impacting workplaces like theirs. CONCLUSION: Employers have detailed reports of the cost of substance use that can be used to improve workplace policies and health benefits.

The Business Case for Investing in Physician Well-being.

Importance: Widespread burnout among physicians has been recognized for more than 2 decades. Extensive evidence indicates that physician burnout has important personal and professional consequences. Observations: A lack of awareness regarding the economic costs of physician burnout and uncertainty regarding what organizations can do to address the problem have been barriers to many organizations taking action. Although there is a strong moral and ethical case for organizations to address physician burnout, financial principles (eg, return on investment) can also be applied to determine the economic cost of burnout and guide appropriate investment to address the problem. The business case to address physician burnout is multifaceted and includes costs associated with turnover, lost revenue associated with decreased productivity, as well as financial risk and threats to the organization's long-term viability due to the relationship between burnout and lower quality of care, decreased patient satisfaction, and problems with patient safety. Nearly all US health care organizations have used similar evidence to justify their investments in safety and quality. Herein, we provide conservative formulas based on readily available organizational characteristics to determine the financial return on organizational investments to reduce physician burnout. A model outlining the steps of the typical organization's journey to address this issue is presented. Critical ingredients to making progress include prioritization by leadership, physician involvement, organizational science/learning, metrics, structured interventions, open communication, and promoting culture change at the work unit, leader, and organization level. Conclusions and Relevance: Understanding the business case to reduce burnout and promote engagement as well as overcoming the misperception that nothing meaningful can be done are key steps for organizations to begin to take action. Evidence suggests that improvement is possible, investment is justified, and return on investment measurable. Addressing this issue is not only the organization's ethical responsibility, it is also the fiscally responsible one.

Shortages take their toll.

Every nurse who leaves an organisation incurs big costs. Research shows the financial impact of nurse turnover on an employer is equivalent to at least several months' salary per nurse. Lost productivity, and the time and cost of finding replacement nurses, are major concerns for most NHS trusts. At a time of nursing shortages, these problems are exacerbated.

Estimating the Economic Benefits of Eliminating Job Strain as a Risk Factor for Depression.

OBJECTIVE: The aim of this study was to quantify the economic benefits of eliminating job strain as a risk factor for depression, using published population-attributable risk estimates of depression attributable to job strain (13.2% for men, 17.2% for women). METHODS: Cohort simulation using state-transition Markov modeling estimated costs and health outcomes for employed persons who met criteria for lifetime DSM-IV major depression. A societal perspective over 1-year and lifetime time horizons was used. RESULTS: Among employed Australians, $890 million (5.8%) of the annual societal cost of depression was attributable to job strain. Employers bore the brunt of these costs, as they arose from lost productive time and increased risk of job turnover among employees experiencing depression. CONCLUSIONS: Proven, practicable means exist to reduce job strain. The findings demonstrate likely financial benefits to employers for expanding psychosocial risk management, providing a financial incentive to complement and reinforce legal and ethical directives.

Professional values, job satisfaction, career development, and intent to stay.

BACKGROUND: Hospitals are experiencing an estimated 16.5% turnover rate of registered nurses costing from $44,380 - $63,400 per nurse-an estimated $4.21 to $6.02 million financial loss annually for hospitals in the United States of America. Attrition of all nurses is costly. Most past research has focused on the new graduate nurse with little focus on the mid-career nurse. Attrition of mid-career nurses is a loss for the profession now and into the future. RESEARCH OBJECTIVE: The purpose of the study was to explore relationships of professional values orientation, career development, job satisfaction, and intent to stay in recently hired mid-career and early-career nurses in a large hospital system. RESEARCH DESIGN: A descriptive correlational study of personal and professional factors on job satisfaction and retention was conducted. Participants and research context: A convenience sample of nurses from a mid-sized hospital in a metropolitan area in the Southwestern United States was recruited via in-house email. Sixty-seven nurses met the eligibility criteria and completed survey documents. Ethical considerations: Institutional Review Board approval was obtained from both the university and hospital system. FINDINGS: Findings indicated a strong correlation between professional values and career development and that both job satisfaction and career development correlated positively with retention. DISCUSSION: Newly hired mid-career nurses scored higher on job satisfaction and planned to remain in their jobs. This is important because their expertise and leadership are necessary to sustain the profession into the future. CONCLUSION: Nurse managers should be aware that when nurses perceive value conflicts, retention might be adversely affected. The practice environment stimulates nurses to consider whether to remain on the job or look for other opportunities.

Blacklisting: The dirty side of travel nursing.

With the dearth of dialysis travel nurses, you can't afford to blacklist one unless it is for a legitimate egregious clinical or professional reason affecting patient care. In a case like that, most reputable staffing agencies would not want to employ the travel nurse either.