Longitudinal participation in delivery and payment reform programs among US Primary Care Organizations.

OBJECTIVE: To assess longitudinal primary care organization participation patterns in large-scale reform programs and identify organizational characteristics associated with multiprogram participation. DATA SOURCES: Secondary data analysis of national program participation data over an eight-year period (2009-2016). STUDY DESIGN: We conducted a retrospective, observational study by creating a unique set of data linkages (including Medicare and Medicaid Meaningful Use and Medicare Shared Savings Program Accountable Care Organization (MSSP ACO) participation from CMS, Patient-Centered Medical Home (PCMH) participation from the National Committee for Quality Assurance, and organizational characteristics) to measure longitudinal participation and identify what types of organizations participate in one or more of these reform programs. We used multivariate models to identify organizational characteristics that differentiate those that participate in none, one, or two-to-three programs. DATA EXTRACTION METHODS: We used Medicare claims to identify organizations that delivered primary care services (n = 56 ,287) and then linked organizations to program participation data and characteristics. PRINCIPAL FINDINGS: No program achieved more than 50% participation across the 56,287 organizations in a given year, and participation levels flattened or decreased in later years. 36% of organizations did not participate in any program over the eight-year study period; 50% participated in one; 13% in two; and 1% in all three. 14.31% of organizations participated in five or more years of Meaningful Use while 3.84% of organizations participated in five years of the MSSP ACO Program and 0.64% participated in at least five years of PCMH. Larger organizations, those with younger providers, those with more primary care providers, and those with larger Medicare patient panels were more likely to participate in more programs. CONCLUSIONS AND RELEVANCE: Primary care transformation via use of voluntary programs, each with their own participation requirements and approach to incentives, has failed to broadly engage primary care organizations. Those that have chosen to participate in multiple programs are likely those already providing high-quality care.

Utilization of lean project management principles and health informatics to reduce operating room delays in a vascular surgery practice.

OBJECTIVES: Perioperative inefficiency can increase cost. We describe a process improvement initiative that addressed preoperative delays on an academic vascular surgery service. METHODS: First case vascular surgeries from July 2019-January 2020 were retrospectively reviewed for delays, defined as late arrival to the operating room (OR). A stakeholder group spearheaded by a surgeon-informaticist analyzed this process and implemented a novel electronic medical records (EMR) preoperative tool with improved preoperative workflow and role delegation; results were reviewed for 3 months after implementation. RESULTS: 57% of cases had first case on-time starts with average delay of 19 min. Inappropriate preoperative orders were identified as a dominant delay source (average delay = 38 min). Three months post-implementation, 53% of first cases had on-time starts with average delay of 11 min (P < 0.05). No delays were due to missing orders. CONCLUSIONS: Inconsistent preoperative workflows led to inappropriate orders and delays, increasing cost and decreasing quality. A novel EMR tool subsequently reduced delays with projected savings of $1,200/case. Workflow standardization utilizing informatics can increase efficiency, raising the value of surgical care.

Alternative Approaches to Ensuring Adequate Nurse Staffing: The Effect of State Legislation on Hospital Nurse Staffing.

OBJECTIVE: The objective of this study was to addresses the basic question of whether alternative legislative approaches are effective in encouraging hospitals to increase nurse staffing. METHODS: Using 16 years of nationally representative hospital-level data from the American Hospital Association (AHA) annual survey, we employed a difference-in-difference design to compare changes in productive hours per patient day for registered nurses (RNs), licensed practical/vocational nurses (LPNs), and nursing assistive personnel (NAP) in the state that mandated staffing ratios, states that legislated staffing committees, and states that legislated public reporting, to changes in states that did not implement any nurse staffing legislation before and after the legislation was implemented. We constructed multivariate linear regression models to assess the effects with hospital and year fixed effects, controlling for hospital-level characteristics and state-level factors. RESULTS: Compared with states with no legislation, the state that legislated minimum staffing ratios had an 0.996 (P<0.01) increase in RN hours per patient day and 0.224 (P<0.01) increase in NAP hours after the legislation was implemented, but no statistically significant changes in RN or NAP hours were found in states that legislated a staffing committee or public reporting. The staffing committee approach had a negative effect on LPN hours (difference-in-difference=-0.076, P<0.01), while the public reporting approach had a positive effect on LPN hours (difference-in-difference=0.115, P<0.01). There was no statistically significant effect of staffing mandate on LPN hours. CONCLUSIONS: When we included California in the comparison, our model suggests that neither the staffing committee nor the public reporting approach alone are effective in increasing hospital RN staffing, although the public reporting approach appeared to have a positive effect on LPN staffing. When we excluded California form the model, public reporting also had a positive effect on RN staffing. Future research should examine patient outcomes associated with these policies, as well as potential cost savings for hospitals from reduced nurse turnover rates.

Reducing the MRI outpatient waiting list through a capacity and demand time series improvement programme.

INTRODUCTION: A capacity and demand improvement initiative commenced in January 2019 with the goal of reducing the growing outpatient waiting list for magnetic resonance imaging (MRI) at Counties Manukau District Health Board (CMDHB). Initial work showed that the capacity (MRI machines and staff) actually outstripped demand, which challenged pre-existing assumptions. This became the basis for interventions to improve efficiency in the department. Interventions undertaken can be split into three distinct categories: (1) matching capacity to demand, (2) waiting list segmentation and (3) redesigning operational systems. METHODS: A capacity and demand time series during 2019 and 2020 was used as the basis for improving waiting list and operational systems. A combination of the Model for Improvement and Lean principles were used to embed operational improvements. Multiple small tests of change were implemented to various aspects of the MRI waiting list process. Staff engagement was central to the success of the quality improvement (QI) initiatives. The radiological information system (RIS) provided the bulk of the data, and this was supplemented with manual data collection. RESULTS: The number of people waiting for an MRI scan decreased from 1,954 at the start of the project to 413 at its conclusion-an overall reduction of 75%. Moreover, the average waiting time reduced from 96.4 days to 23.1. Achieving the Ministry of Health's (MoH) Priority 2 (P2) target increased from 23% to 87.5%. CONCLUSION: A partnership between Ko Awatea and the radiology department at CMDHB, examining capacity and demand for MRI and using multiple QI techniques, successfully and sustainably reduced the MRI waiting list over a two-year period. The innovative solutions to match capacity to demand may be instructive for other radiology departments, and other waiting list scenarios.

Patient Mix Optimization in Admission Planning under Multitype Patients and Priority Constraints.

Hospital beds are one of the most critical medical resources. Large hospitals in China have caused bed utilization rates to exceed 100% due to long-term extra beds. To alleviate the contradiction between the supply of high-quality medical resources and the demand for hospitalization, in this paper, we address the decision of choosing a case mix for a respiratory medicine department. We aim to generate an optimal admission plan of elective patients with the stochastic length of stay and different resource consumption. We assume that we can classify elective patients according to their registration information before admission. We formulated a general integer programming model considering heterogeneous patients and introducing patient priority constraints. The mathematical model is used to generate a scientific and reasonable admission planning, determining the best admission mix for multitype patients in a period. Compared with model II that does not consider priority constraints, model I proposed in this paper is better in terms of admissions and revenue. The proposed model I can adjust the priority parameters to meet the optimal output under different goals and scenarios. The daily admission planning for each type of patient obtained by model I can be used to assist the patient admission management in large general hospitals.

Program for Supporting Frontline Improvement Projects in an Academic Radiology Department.

OBJECTIVE. The purpose of this study was to describe the results of an ongoing program implemented in an academic radiology department to support the execution of small- to medium-size improvement projects led by frontline staff and leaders. MATERIALS AND METHODS. Staff members were assigned a coach, were instructed in improvement methods, were given time to work on the project, and presented progress to department leaders in weekly 30-minute reports. Estimated costs and outcomes were calculated for each project and aggregated. An anonymous survey was administered to participants at the end of the first year. RESULTS. A total of 73 participants completed 102 projects in the first 2 years of the program. The project type mix included 25 quality improvement projects, 22 patient satisfaction projects, 14 staff engagement projects, 27 efficiency improvement projects, and 14 regulatory compliance and readiness projects. Estimated annualized outcomes included approximately 4500 labor hours saved, $315K in supply cost savings, $42.2M in potential increased revenues, 8- and 2-point increase in top-box patient experience scores at two clinics, and a 60-incident reduction in near-miss safety events. Participant time equated to approximately 0.35 full-time equivalent positions per year. Approximately 0.4 full-time equivalent was required to support the program. Survey results indicated that the participants generally viewed the program favorably. CONCLUSION. The program was successful in providing a platform for simultaneously solving a large number of organizational problems while also providing a positive experience to frontline personnel.

How efficient are German life sciences? Econometric evidence from a latent class stochastic output distance model.

This article investigates the technical efficiency in German higher education while accounting for possible heterogeneity in the production technology. We investigate whether a latent class model would identify the different sub-disciplines of life sciences in a sample of biology and agricultural units based on technological differences. We fit a latent class stochastic frontier model to estimate the parameters of an output distance function formulation of the production technology to investigate if a technological separation is meaningful along sub-disciplinary lines. We apply bootstrapping techniques for model validation. Our analysis relies on evaluating a unique dataset that matches information on higher educational institutions provided by the Federal Statistical Office of Germany with the bibliometric information extracted from the ISI Web of Science Database. The estimates indicate that neglecting to account for the possible existence of latent classes leads to a biased perception of efficiency. A classification into a research-focused and teaching-focused decision-making unit improves model fit compared to the pooled stochastic frontier model. Additionally, research-focused units have a higher median technical efficiency than teaching-focused units. As the research focus is more prevalent in the biology subsample an analysis not considering the potential existence of latent classes might misleadingly give the appearance of a higher mean efficiency of biology. In fact, we find no evidence of a difference in the mean technical efficiencies for German agricultural sciences and biology using the latent class model.

SUCCESSFUL INTERVENTIONS TO IMPROVE EFFICIENCY AND REDUCE PATIENT VISIT DURATION IN A RETINA PRACTICE.

PURPOSE: To reduce the total clinic visit duration among retina providers in an academic ophthalmology department. METHODS: All patient encounters across all providers in the department were analyzed to determine baseline clinic visit duration time, defined as the elapsed time between appointment time and checkout. To increase photography capacity, a major bottleneck identified through root cause analysis, four interventions were implemented: training ophthalmic technicians to perform fundus photography in addition to optical coherence tomographies, relocating photography equipment to be adjacent to examination rooms, procuring three additional Optos widefield retinal photography units, and shifting staff schedules to better align with that of the providers. These interventions were implemented in the clinics of two retina providers. RESULTS: The average baseline visit duration for all patients across all providers was 87 minutes (19,550 patient visits). The previous average visit duration was 80 minutes for Provider 1 (557 patient visits) and 81 minutes for Provider 2 (1,246 patient visits). In the 4 weeks after interventions were implemented, the average visit duration decreased to 60 minutes for Provider 1 and 57 minutes for Provider 2. CONCLUSION: A systematic approach and a multidisciplinary team resulted in targeted, cost-effective interventions that reduced total visit durations.

Hospital-physician integration and Medicare's site-based outpatient payments.

OBJECTIVE: To determine the relationship between Medicare's site-based outpatient billing policy and hospital-physician integration. DATA SOURCES: National Medicare claims data from 2010 to 2016. STUDY DESIGN: For each physician-year, we calculated the disparity between Medicare reimbursement under hospital ownership and under physician ownership. Using logistic regression analysis, we estimated the relationship between these payment differences and hospital-physician integration, adjusting for region, market concentration, and time fixed effects. We measured integration status using claims data and legal tax names. DATA COLLECTION: The study included integrated and non-integrated physicians who billed Medicare between January 1, 2010, and December 31, 2016 (n = 2 137 245 physician-year observations). PRINCIPAL FINDINGS: Medicare reimbursement for physician services would have been $114 000 higher per physician per year if a physician were integrated compared to being non-integrated. Primary care physicians faced a 78% increase, medical specialists 74%, and surgeons 224%. These payment differences exhibited a modest positive relationship to hospital-physician vertical integration. An increase in this outpatient payment differential equivalent to moving from the 25th to 75th percentile was associated with a 0.20 percentage point increase in the probability of integrating with a hospital (95% CI: 0.0.10-0.30). This effect was slightly larger among primary care physicians (0.27, 95% CI: 0.18 to 0.35) and medical specialists (0.26, 95% CI: 0.05 to 0.48), while not significantly different from zero among surgeons (-0.02; 95% CI: -0.27 to 0.22). CONCLUSIONS: The payment differences between outpatient settings were large and grew over time. Even routine annual outpatient payment updates from Medicare may prompt some hospital-physician vertical integration, particularly among primary care physicians and medical specialists.

A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak.

Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure.

Levels, trends and determinants of technical efficiency of general hospitals in Uganda: data envelopment analysis and Tobit regression analysis.

BACKGROUND: General hospitals provide a wide range of primary and secondary healthcare services. They accounted for 38% of government funding to health facilities, 8.8% of outpatient department visits and 28% of admissions in Uganda in the financial year 2016/17. We assessed the levels, trends and determinants of technical efficiency of general hospitals in Uganda from 2012/13 to 2016/17. METHODS: We undertook input-oriented data envelopment analysis to estimate technical efficiency of 78 general hospitals using data abstracted from the Annual Health Sector Performance Reports for 2012/13, 2014/15 and 2016/17. Trends in technical efficiency was analysed using Excel while determinants of technical efficiency were analysed using Tobit Regression Model in STATA 15.1. RESULTS: The average constant returns to scale, variable returns to scale and scale efficiency of general hospitals for 2016/17 were 49% (95% CI, 44-54%), 69% (95% CI, 65-74%) and 70% (95% CI, 65-75%) respectively. There was no statistically significant difference in the efficiency scores of public and private hospitals. Technical efficiency generally increased from 2012/13 to 2014/15, and dropped by 2016/17. Some hospitals were persistently efficient while others were inefficient over this period. Hospital size, geographical location, training status and average length of stay were statistically significant determinants of efficiency at 5% level of significance. CONCLUSION: The 69% average variable returns to scale technical efficiency indicates that the hospitals could generate the same volume of outputs using 31% (3439) less staff and 31% (3539) less beds. Benchmarking performance of the efficient hospitals would help to guide performance improvement in the inefficient ones. There is need to incorporate hospital size, geographical location, training status and average length of stay in the resource allocation formula and adopt annual hospital efficiency assessments.

Improving public hospital efficiency and fiscal space implications: the case of Mauritius.

BACKGROUND: General Government Health Expenditure (GGHE) in Mauritius accounted for only 10% of General Government Expenditure for the fiscal year 2018. This is less than the pledge taken under the Abuja 2001 Declaration to allocate at least 15% of national budget to the health sector. The latest National Health Accounts also urged for an expansion in the fiscal space for health. As public hospitals in Mauritius absorb 70% of GGHE, maximising returns of hospitals is essential to achieve Universal Health Coverage. More so, as Mauritius is bracing for its worst recession in 40 years in the aftermath of the COVID-19 pandemic public health financing will be heavily impacted. A thorough assessment of hospital efficiency and its implications on effective public health financing and fiscal space creation is, therefore, vital to inform ongoing health reform agenda. OBJECTIVES: This paper aims to examine the trend in hospital technical efficiency over the period 2001-2017, to measure the elasticity of hospital output to changes in inputs variables and to assess the impact of improved hospital technical efficiency in terms of fiscal space creation. METHODS: Annual health statistics released by the Ministry of Health and Wellness and national budget of the Ministry of Finance, Economic Planning and Development were the principal sources of data. Applying Stochastic Frontier Analysis, technical efficiency of public regional hospitals was estimated under Cobb-Douglas, Translog and Multi-output distance functions, using STATA 11. Hospital beds, doctors, nurses and non-medical staff were used as input variables. Output variable combined inpatients and outpatients seen at Accident Emergency, Sorted and Unsorted departments. Efficiency scores were used to determine potential efficiency savings and fiscal space creation. FINDINGS: Mean technical efficiency scores, using the Cobb Douglas, Translog and Multi-output functions, were estimated at 0.83, 0.84 and 0.89, respectively. Nurses and beds are the most important factors in hospital production, as a 1% increase in the number of beds and nurses, result in an increase in hospital outputs by 0.73 and 0.51%, respectively. If hospitals are to increase their inputs by 1%, their outputs will increase by 1.16%. Hospital output process has an increasing return to scale. With technical efficiencies improving to scores of 0.95 and 1.0 in 2021-2022, potential savings and fiscal space creation at hospital level, would amount to MUR 633 million (US$ 16.2 million) and MUR 1161 million (US$ 29.6 million), respectively. CONCLUSION: Fiscal space creation through full technical efficiency, is estimated to represent 8.9 and 9.2% of GGHE in fiscal year 2021-2022 and 2022-2023, respectively. This will allow without any restrictions the funding of the national response for HIV, vaccine preventable diseases as well as building a resilient health system to mitigate impact of emerging infectious diseases as experienced with COVID-19.

Private money-making indulgence and inefficiency of primary healthcare in Nigeria: a qualitative study of health workers' absenteeism.

OBJECTIVES: Generating additional personal income is common with primary healthcare (PHC) workforce in Nigeria, which could be because of the inconsistencies marring their monthly salaries. Therefore, this study investigates the drivers of private economic activities of PHC providers in the public sector, and the links to absenteeism, as well as inefficiency of PHC facilities in Nigeria. METHODS: A qualitative study design was used to collect data from 30 key-informants using in-depth interviews. They were selected from 5 PHC facilities across three local government areas in Enugu state, south-eastern Nigeria. Data were analysed thematically, and guided by phenomenology. RESULTS: Findings showed that majority of the health workers were involved in different private money-making activities. A main driver was inconsistencies in salaries, which makes it difficult for them to routinely meet their personal and household needs. As a result, PHC facilities were found less functional. CONCLUSIONS: Absenteeism of PHC providers can be addressed if efforts are made to close justifiable gaps that cause health workers to struggle informally. Such lesson can be instructive to low- and middle-income countries in strengthening their health systems.

Administrative Burden and Costs of Prior Authorizations in a Dermatology Department.

Importance: Insurance companies use prior authorizations (PAs) to address inappropriate prescribing or unnecessary variations in care, most often for expensive medications. Prior authorizations negatively affect patient care and add costs and administrative burden to dermatology offices. Objective: To quantify the administrative burden and costs of dermatology PAs. Design, Setting, and Participants: The University of Utah Department of Dermatology employs 2 full-time and 8 part-time PA staff. In this cross-sectional study at a large academic department spanning 11 clinical locations, these staff itemized all PA-related encounters over a 30-day period in September 2016. Staff salary and benefits were publicly available. Data were analyzed between December 2018 and August 2019. Main Outcomes and Measures: Proportion of visits requiring PAs, median administrative time to finalize a PA (either approval or denial after appeal), and median cost per PA type. Results: In September 2016, 626 PAs were generated from 9512 patient encounters. Staff spent 169.7 hours directly handling PAs, costing a median of $6.72 per PA. Biologic PAs cost a median of $15.80 each and took as long as 31 business days to complete. The costliest PA equaled 106% of the associated visit's Medicare reimbursement rate. Approval rates were 99.6% for procedures, 78.9% for biologics, and 58.2% for other medications. After appeal, 5 of 23 (21.7%) previously denied PAs were subsequently approved. Conclusions and Relevance: Prior authorizations are costly to dermatology practices and their value appears limited for some requests. Fewer unnecessary PAs and appeals might increase practice efficiency and improve patient outcomes.

Assessing the costs and efficiency of HIV testing and treatment services in rural Malawi: implications for future "test and start" strategies.

BACKGROUND: Reaching the 90-90-90 targets requires efficient resource use to deliver HIV testing and treatment services. We investigated the costs and efficiency of HIV services in relation to HIV testing yield in rural Karonga District, Malawi. METHODS: Costs of HIV services were measured over 12 months to September 2017 in five health facilities, drawing on recognised health costing principles. Financial and economic costs were collected in Malawi Kwacha and United States Dollars (US$). Costs were calculated using a provider perspective to estimate average annual costs (2017 US$) per HIV testing episode, per HIV-positive case diagnosed, and per patient-year on antiretroviral therapy (ART), by facility. Costs were assessed in relation to scale of operation and facility-level annual HIV positivity rate. A one-way sensitivity analysis was undertaken to understand how staffing levels and the HIV positivity rate affected HIV testing costs. RESULTS: HIV testing episodes per day and per full-time equivalent HIV health worker averaged 3.3 (range 2.0 to 5.7). The HIV positivity rate averaged 2.4% (range 1.9 to 3.7%). The average cost per testing episode was US$2.85 (range US$1.95 to US$8.55), and the average cost per HIV diagnosis was US$116.35 (range US$77.42 to US$234.11), with the highest costs found in facilities with the lowest daily number of tests and lowest HIV yield respectively. The mean facility-level cost per patient-year on ART was approximately US$100 (range US$90.67 to US$115.42). ART drugs were the largest cost component averaging 71% (range 55 to 76%). The cost per patient-year of viral load tests averaged US$4.50 (range US$0.52 to US$7.00) with cost variation reflecting differences in the tests to ART patient ratio across facilities. CONCLUSION: Greater efficiencies in HIV service delivery are possible in Karonga through increasing daily testing episodes among existing health workers or allocating health workers to tasks in addition to testing. Costs per diagnosis will increase as yields decline, and therefore, encouraging targeted testing strategies that increase yield will be more efficient. Given the contribution of drug costs to per patient-year treatment costs, it is critical to preserve the life-span of first-line ART regimens, underlining the need for continuing adherence support and regular viral load monitoring.

Tackling maternal mortality by improving technical efficiency in the production of primary health services: longitudinal evidence from the Mexican case.

Ensuring regular and timely access to efficient and quality health services reduces the risk of maternal mortality. Specifically, improving technical efficiency (TE) can result in improved health outcomes. To date, no studies in Mexico have explored the connection of TE with either the production of maternal health services at the primary-care level or the maternal-mortality ratio (MMR) in populations without social security coverage. The present study combined data envelopment analysis (DEA), longitudinal data and selection bias correction methods with the purpose of obtaining original evidence on the impact of TE on the MMR during the period 2008-2015. The results revealed that MMR fell 0.36% (P < 0.01) for every percentage point increase in TE at the jurisdictional level or elasticity TE-MMR. This effect proved lower in highly marginalized jurisdictions and disappeared entirely in those with low- or medium-marginalization levels. Our findings also highlighted the relevance of certain social and economic aspects in the attainment of TE by jurisdictions. This clearly demonstrates the need for comprehensive, cross-cutting policies capable of modifying the structural conditions that generate vulnerability in specific population groups. In other words, achieving an effective and sustainable reduction in the MMR requires, inter alia, that the Mexican government review and update two essential elements: the criteria behind resource allocation and distribution, and the control mechanisms currently in place for executing and ensuring accountability in these two functions.

The Efficiency of self-employed general practitioners and factors affecting it: a study in Iran.

OBJECTIVE: Physicians as an economic firm make use of available resources such as time, human forces and space to provide healthcare services. The current study aimed at estimating the technical efficiency of Iranian self-employed general practitioners (GPs) and its effective factors using data envelopment analysis and regression analysis. RESULTS: About 2% of the GPs were fully efficient and the remaining (98%) were inefficient. Almost, 2.09% of the physicians had constant returns to scale, and 31.41% and 66.49% of them had increasing and decreasing returns to scale, respectively. According to the regression estimates, gender (female) (ß = 3.776, P = 0.072), age (ß = 0.475, P = 0.013), practice experience (ß = - 0.477, P = 0.015), contract with the insurer (ß = - 6.475, P = 0.005) and economic expectations (ß = 1.939, P = 0.014) showed significant effect on GPs inefficiency. Most of the GPs surveyed did not optimally allocate their time and physical and human resources to provide their services. Female GPs, older ones, those with fewer practice experience, those with higher economic expectations, and the GPs with no insurance contract were more inefficient. Increasing the insurance coverage of self-employed GPs and providing them with training in office economic management can reduce their inefficiency.

Constraints of coal mining safety management efficiency.

BACKGROUND: Investigation of the safety management efficiency in a coal mine aims to improve its safety management level thus ensuring coal mining safety. However, the safety management efficiency is affected by many factors especially for those coal mines operated underground. Furthermore, the constraint factors that are difficult to be identified and eliminated may impede safety management efficiency. OBJECTIVE: This work aims to explore the constraints affecting safety management efficiency through a mathematical model accompanied by some effective measures guided by the theory of constraint (TOC). METHODS: An index system for coal mining safety management efficiency (CMSME) is first established. Then a mathematical model roughly identifying the constraint factors is constructed. The principle of the proposed model is a comparison with the changes of the ratio of integrated CMSME and the ratio of each impact factor over a certain period. Thus, a constraint factor may be one whose ratio changes at a slower rate than that of the integrated CMSME. Following this, some measures are adopted to identify one, or more, real constraints. Finally, the constraints may be broken by internal, or external, means. RESULTS: A case study from Quandian coal mine verified the proposed method: the constraints affecting CMSME could be identified and broken through during the production. This research currently is applied to coal mining activities in a few coal mines, and it will be widely used in the future. CONCLUSIONS: This paper provides a novel method investigating the constraints affecting CMSME and breaking through them. The case study shows that breaking through constraints during the production is beneficial to CMSME. Furthermore, a coal mine with a high CMSME index may still, at some time, have one, or more, bottleneck constraints.

Efficiency of health resource utilisation in primary-level maternal and child health hospitals in Shanxi Province, China: a bootstrapping data envelopment analysis and truncated regression approach.

BACKGROUND: District- and county-level maternal and child health hospitals (MCHHs) are positioned to provide primary maternal and child healthcare in rural and urban areas of China. Their efficiencies and productivity largely affect the equity and accessibility of maternal and child health care. This study aimed to assess the efficiency of district- and county-level MCHHs in China and identify their associated factors. METHODS: Thirty-three district- and 84 county-level MCHHs were selected from Shanxi Province in 2017. At the first stage, bootstrapping data envelopment analysis (DEA) models were established to calculate the technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) of district- and county-level hospitals. At the second stage, the estimated efficiency scores were regressed against external and internal hospital environmental factors by using bootstrap truncated regression to identify their determinants. RESULTS: The average TE, PTE and SE scores for district-level MCHHs were 0.7433, 0.8633 and 0.9335, respectively. All hospitals were found to be weakly efficient, although more than 50% of the hospitals performed with efficient SE (SE scores≥100%). As for county-level MCHHs, their average TE, PTE and SE scores were 0.5483, 0.6081 and 0.9329, respectively. The hospitals with TE and PTE scores less than 0.7 accounted for more than 60%, and no hospital was observed to operate effectively. Truncated regressions suggested that the proportion of health professionals, including doctors, nurses, pharmacists, inspection technician and image technician (district level: ß = 0.57, 95% CI = 0.30-0.85; county level: ß = 0.33, 95% CI = 0.15-0.52), and the number of health workers who received job training (district level: ß = 0.67, 95% CI = 0.26-1.08; county level: ß = 0.34, 95% CI = 0.14-0.54) had a positive association with efficiency scores. The amount of financial subsidy (ß = 0.07, 95% CI = 0.05-0.09) was found to be directly proportional to the productive efficiency of the county-level MCHHs. CONCLUSION: The operational inefficiency of district- and county-level MCHHs in Shanxi Province is severe and needs to be substantially improved, especially in terms of TE and PTE. Hiring additional medical personnel and ensuring the stability of the workforce should be prioritised. The Chinese government must provide sufficient financial subsidy to compensate for service costs.

How Does Positive Work-Related Stress Affect the Degree of Innovation Development?

Many studies sustain that work-related stress exerts pervasive consequences on the employees' levels of performance, productivity, and wellbeing. However, it remains unclear whether certain levels of stress might lead to positive outcomes regarding employees' innovativeness. Hence, this paper examines how the five dimensions of work-related stress impact on the employees' levels of innovation performance. To this aim, this study focused on a sample of 1487 employees from six Italian companies. To test the research hypotheses under assessment, we relied on the use of the partial least squares (PLS) technique. Our results reveal that, in summary, the stressors job autonomy, job demands, and role ambiguity exert a positive and significant impact on the employees' levels of innovativeness. However, this study failed to find evidence that the supervisors' support-innovation and colleagues' support-innovation links are not statistically significant.