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Objective: With the participation of private hospitals in the health system, improving hospital efficiency becomes more important. This study aimed to evaluate the technical efficiency of public and private hospitals in Beijing, China, and analyze the influencing factors of hospitals’ technical efficiency, and thus provide policy implications to improve the efficiency of public and private hospitals. Method: This study used a data set of 154–232 hospitals from “Beijing’s Health and Family Planning Statistical Yearbooks” in 2012–2017. The data envelopment analysis (DEA) model was employed to measure technical efficiency. The propensity score matching (PSM) method was used for matching “post-randomization” to directly compare the efficiency of public and private hospitals, and the Tobit regression was conducted to analyze the influencing factors of technical efficiency in public and private hospitals. Results: The technical efficiency, pure technical efficiency and scale efficiency of public hospitals were higher than those of private hospitals during 2012–2017. After matching propensity scores, although the scale efficiency of public hospitals remained higher than that of their private counterparts, the pure technical efficiency of public hospitals was lower than that of private hospitals. Panel Tobit regression indicated that many hospital characteristics such as service type, level, and governance body affected public hospitals’ efficiency, while only the geographical location had an impact on private hospitals’ efficiency. For public hospitals in Beijing, those with lower average outpatient and inpatient costs per capita had better performance in technical efficiency, and bed occupancy rate, annual visits per doctor, and the ratio of doctors to nurses also showed a positive sign with technical efficiency. For private hospitals, the average length of stay was negatively associated with technical efficiency, but the bed occupancy rate, annual visits per doctor, and average outpatient cost were positively associated with technical efficiency. Conclusions: To improve technical efficiency, public hospitals should focus on improving the management standards, including the rational structure of doctors and nurses as well as appropriate reduction of hospitalization expenses. Private hospitals should expand their scale with proper restructuring, mergers, and acquisitions, and pay special attention to shortening the average length of stay and increasing the bed occupancy rate.

Respectful provision of care is an integral component of quality maternity care service. The objective of the present study was to assess the status of respectful maternity care and its associated factors in public and private hospitals in Bangladesh. A cross-sectional study was conducted at a tertiary care public hospital and a tertiary care private hospital in Chittagong, Bangladesh from October 2023 to September 2024. Face-to-face interviews using a structured questionnaire was conducted to collect data from postnatal women. Respectful maternity care was measured using a validated 15-item tool with four domains (friendly, abuse-free, timely, and discrimination-free care). Logistic regression analysis was used to identify factors associated with respectful maternity care. A number of 264 postnatal women from the public hospital and 334 from the private hospital were included in the study. Overall, 55.5% of them received respectful maternity care, with significant differences between public (33.7%) and private (72.8%) hospitals (p-value <0.001). Women in private hospitals reported higher standards across all domains, with the largest disparity in discrimination-free care (98% in private vs. 56% in public hospitals, p < 0.001). Logistic regression showed that women in private hospitals (adjusted odds ratio, aOR 18.10; 95% confidence interval, CI 8.43-42.0), those with facility-level referrals (aOR 2.88; 95% CI 1.59-5.31), and cesarean deliveries (aOR 2.45; 95% CI 1.26-5.07) were significantly more likely to receive respectful maternity care. Respectful maternity care was significantly more likely among women delivering in private hospitals, through facility-level referrals, and by cesarean section, indicating gaps in public hospital practices that require attention to ensure respectful care for all mothers.

IntroductionTo achieve universal health coverage, the Government of India has introduced Ayushman Bharat - Pradhan Mantri Jan Arogya Yojana (AB - PMJAY), a large tax-funded national health insurance scheme for the provision of secondary and tertiary care services in public and private hospitals. AB - PMJAY reimburses care for 1573 health benefit packages (HBPs). HBPs are designed to cover the treatment of diseases/conditions with high incidence/prevalence or which contribute to high out-of-pocket expenditure. However, there is a dearth of reference cost data against which provider payment rates can be assessed.Methods and analysisThe CHSI (Cost of Health Services in India) study will collect cost data from 13 Indian states covering 52 public and 40 private hospitals, using a mixed economic costing methodology (top-down and bottom-up), to generate unit costs for the HBPs. States will be sampled to capture economic status, development indicators and health service utilisation heterogeneity. The public sector hospitals will be chosen at secondary and tertiary care level. One tertiary facility will be selected from each state. At secondary level, three districts per state will be selected randomly from the district composite development score ranking. The private sector hospital sample will be stratified by nature of ownership (for-profit and not-for-profit), type of city (tier 1, 2 or 3) and size of the hospital (number of beds). Average costs for each HBP will be calculated across the different facility types. Multiple scenarios will be used to suggest rates which could be negotiated with the providers. Overall, the study will provide economic cost data for price setting, strategic purchasing, health technology assessment and a national cost database of India.Ethics and disseminationThe approval has been obtained from the Institutional Ethics Committee and Institutional Collaborative Committee of the Post Graduate Institute of Medical Education and Research, Chandigarh, India. The results shall be disseminated in conferences and peer-reviewed articles.

Background Emergency department (ED) serve as critical entry points in healthcare systems, particularly in tertiary care hospitals where complex medical emergencies are managed. In Pakistan, both public and private sector tertiary care hospitals provide emergency care services; however, systematic evidence comparing their quality in terms of service availability and readiness remains limited. The World Health Organization’s Harmonized Health Facility Assessment (HHFA) tool is one such approach that offers a framework to evaluate the quality of health care facilities in terms of service availability and readiness. The current exploratory comparative study was conducted to compare the quality of emergency care services in terms of service availability and readiness between public and private tertiary care hospitals in Rawalpindi, Pakistan. Methods This exploratory comparative cross-sectional study was conducted in six tertiary care hospitals (three public and three private sector hospitals) in Rawalpindi, Pakistan, from September 2024 to December 2024. The availability and readiness of emergency care services were evaluated using an adapted WHO HHFA tool addressing multiple domains: emergency service availability, site condition readiness, equipment readiness, medicines and commodities, diagnostic readiness, and support and quality services. The indicators were scored as available or unavailable, and scores were aggregated to form domain-specific percentage scores. Results were reported as median (IQR), and comparisons between public and private-sector hospitals were performed using the Mann-Whitney U test due to the small sample size. The data were analyzed via a scoring system formulated by HHFA in SPSS version 27. Results The median daily ED patient volume was 320 (IQR: 300–340) for public hospitals and 210 (IQR: 195–225) for private hospitals, while the median for the number of ED beds was 28 (IQR: 26–30) and 15 (IQR: 15-17.5), respectively. No statistically significant difference was observed between hospital characteristics ( p  > 0.05). The median overall emergency service availability and readiness score was 76.47 (IQR: 75.29–80.59) for public hospitals and 76.47 (IQR: 75.00-77.06) for private hospitals ( p  = 0.658). In both sectors, the median readiness for emergency medicines and surgical equipment was 100. The median diagnostic readiness score in public hospitals was 42.86 (IQR: 28.57–64.29), compared to 14.29 (IQR: 14.29-50.00) in private hospitals. However, this difference did not attain statistical significance ( p  = 0.637). No statistically significant differences were observed between public and private hospitals for all observed domains. Conclusion This exploratory study found no statistically significant differences in emergency care service availability and readiness between public and private tertiary care hospitals in Rawalpindi. Although minor numerical variations were observed, both sectors demonstrated comparable availability and readiness for emergency care. Persistent deficiencies in diagnostic readiness and support services across both sectors indicate the need for system-level improvements to strengthen emergency care delivery.

Background Reducing patient expenditure and expanding healthcare access through private sector hospitals is widely touted strategy for governments to achieve Universal Health Care, including in India. However, private sector engagement in India’s publicly funded health insurance schemes (PFHIS) remains low and is uneven across geographies and by hospitals size. This paper examines challenges to achieving effective private sector engagement in PFHIS by analysing private sector participation and exploring diverse stakeholder perspectives. Methods This case study used sequential mixed methods design and was conducted in 2023-24 in Maharashtra, India. We combined quantitative analysis of the geographic distribution of empanelled private hospitals (993 across Maharashtra’s 36 districts) and qualitative interviews ( n  = 16) with diverse stakeholders to understand why some facilities do not engage. The analysis was guided by our framework on private sector engagement that examined policy factors, hospital level factors and operational factors. Results Only 13% of private hospitals were empanelled in Maharashtra’s PFHIS, with higher empanelment in urban areas and among small and medium sized hospitals; rural areas had few empanelled hospitals and few large private hospitals participated. Districts with few empanelled private hospitals had lower overall hospitalization rates, suggesting persistent unmet population need for affordable hospitals. Low private sector engagement was driven by multiple factors: at the policy level, insufficient state budgets, low reimbursement rates, fixed scheme packages, strict empanelment criteria, complex claims processes, and delayed reimbursements; at the hospital level, economic non-viability, concerns about patient load and profile, and limited administrative capacities; and at the operational level, inadequate monitoring mechanisms for PFHIS and empanelled hospitals, gaps in the empanelment process, and delays in patient pre-authorization and claims processing. Conclusion This study enhances understanding of private sector engagement challenges and provides insights for improving PFHIS and UHC in India. The framework developed can also be applied beyond India to assess the complexities of intent, capacity, and interactions between private and public actors in PFHIS. To create an enabling environment for private sector engagement and achieve the scheme’s objectives, the state could increase reimbursement rates, implement responsive grievance redressal, regulate private hospitals, and improve governance processes. A two-fold strategy of strengthening the public health system and engaging with regulated private hospitals could enhance the scheme’s effectiveness.

Purpose The purpose of this paper is to assess the influence of patients’ expectations from healthcare service quality on their satisfaction with nursing in public and private hospitals of Pakistan. Design/methodology/approach Data (n=456) were collected from three public sector hospitals and three private sector hospitals of Lahore, the capital of Pakistan’s most populous province. Male and female patients who have experience of both sectors were surveyed using a self-administered questionnaire developed using the original SERVQUAL approach. Data were analyzed using the statistical techniques and the Laplace criterion. Findings This paper attempts to explain degree of influences of five service quality constructs (empathy, responsiveness, tangibility, reliability and assurance) on Pakistani patients’ expectations from the private and public sector hospitals and thus patient satisfaction. Further, this work can offer several intuitions into the effect of five constructs of service quality on patients’ expectations of healthcare service quality and patient satisfaction with the service providers/nursing. The results reveal that the patient satisfaction is most strongly related to empathy in public sector and to responsiveness in private sector. Research limitations/implications In light of the previous studies and the current research findings, the study anticipates no apparently significant improvement in healthcare sector of Pakistan in near future considering various factors discussed in the study. The study will also help the service providers and the policy makers in understanding the deteriorating situation of the Pakistani healthcare sector and will guide them in identifying the areas by improving which not only the healthcare service quality in the country can be improved but also the image of healthcare sector among the masses and competitiveness of the healthcare sector can be enhanced. Originality/value The value of the study rests in its critical analysis of the current status of the healthcare sector of Pakistan with a view to suggest the areas that need to be worked on by the service providers and policy makers. Also, the study tries to settle a controversy within Pakistani healthcare literature concerning the question that who is producing more satisfied patients: private hospitals or their public counterparts?

Background Palliative care is a modality of treatment that addresses physical, psychological and spiritual symptoms. Dignity therapy, a form of psychotherapy, was developed by Professor Harvey Chochinov, MD in 2005.The aim of the study was to assess the effect of one session of dignity therapy on quality of life in advanced cancer patients. Methods This was a randomized control trial of 144 patients (72 in each arm) randomized into group 1 (intervention arm) and group 2 (control arm). Baseline ESAS scores were determined in both arms following which group 1 received Dignity therapy while Group 2 received usual care only. Data collected was presented as printed (Legacy) documents to group 1 participants. These documents were a summary of previous discussions held. Post intervention ESAS scores were obtained in both groups after 6 weeks. Analysis was based on the intention to treat principle and descriptive statistics computed. The main outcome was symptom distress scores on the ESAS (summated out of 100 and symptom specific scores out of 10). The student T-test was used to test for difference in ESAS scores at follow up and graphs were computed for common cancers and comorbidities. Results Of the 144 (72 patients in each arm) patients randomized, 70%were female while 30% were male with a mean age of 50 years. At 6 weeks, 11 patients were lost to follow up, seven died and 126 completed the study. The commonly encountered cancers were gastrointestinal cancers (43%, p  = 0.29), breast cancer (27.27% p  = 0.71) and gynaecologic cancers (23% p  = 0.35). Majority of the patients i.e. 64.3% had no comorbidities. The primary analysis results showed higher scores for the DT group (change in mean = 1.57) compared to the UC group (change in mean = − 0.74) yielding a non-statistically significant difference in change scores of 1.44 ( p  = 0.670; 95% CI − 5.20 to 8.06). After adjusting for baseline scores, the mean (summated) symptom distress score was not significant (GLM p  = 0.78). Dignity therapy group showed a trend towards statistical improvement in anxiety ( p  = 0.059). The largest effects seen were in improvement of appetite, lower anxiety and improved wellbeing (Cohen effect size 0.3, 0.5 and 0.31 respectively). Conclusion Dignity therapy showed no statistical improvement in overall quality of life. Symptom improvement was seen in anxiety and this was a trend towards statistical significance ( p  = 0.059). Trial registration Trial registration number PACTR201604001447244 retrospectively registered with Pan African Clinical trials on 28th January 2016.

Globally, Caesarean section (CS) rates are mounting and currently exceed the safe upper limit of 15%. Monitoring CS rates using clinical indications and obstetric sub-group analysis could confirm that women in need have been served. In Bangladesh, the reported CS rate was 31% in 2016, and almost twice that rate in urban settings. Delivering in the private healthcare sector was a strong determinant. This study uses Robson Ten Group Classification System (TGCS) to report CS rates in urban Bangladesh. The clinical causes and determining factors for CS births have also been examined. This record linkage cross-sectional survey was undertaken in 34 urban for-profit private hospitals having CS facilities during the period June to August 2015. Data were supplied by inpatient case records and operation theatre registers. Descriptive analyses were performed to calculate the relative size of each group; the group-specific CS rate, and group contribution to total CS and overall CS rate. CS indications were grouped into eleven categories using ICD 10 codes. Binary logistic regression was performed to explore the determinants of CS. Out of 1307 births, delivery by CS occurred in 1077 (82%). Three obstetric groups contributed the most to overall CS rate: previous CS (24%), preterm (23%) and term elective groups (22%). The major clinical indications for CS were previous CS (35%), prolonged and obstructed labor (15%), fetal distress (11%) and amniotic fluid disorder (11%). Multiple gestation, non-cephalic presentation, previous bad obstetric history were positive predictors while oxytocin used for labour induction and increased parity were negative predictors of CS. As the first ever study in urban private for-profit health facilities in Bangladesh, this study usefully identifies the burden of CS and where to intervene. Engagement of multiple stakeholders including the private sector is crucial in planning effective strategies for safe reduction of CS.

Background Many LMICs have implemented Publicly Funded Health Insurance (PFHI) programmes to improve access and financial protection. The national PFHI scheme implemented in India for a decade has been recently modified and expanded to cover free hospital care for 500 million persons. Since increase in annual cover amount is one of the main design modifications in the new programme, the relevant policy question is whether such design change can improve financial protection for hospital care. An evaluation of state-specific PFHI programmes with vertical cover larger than RSBY can help answer this question. Three states in Southern India - Andhra Pradesh, Karnataka and Tamil Nadu have been pioneers in implementing PFHI with a large insurance cover. Methods The current study was meant to evaluate the PFHI in above three states in improving utilisation of hospital services and financial protection against expenses of hospitalization. Two cross-sections from National Sample Survey’s health rounds, the 60th round done in 2004 and the 71st round done in 2014 were analysed. Instrumental Variable method was applied to address endogeneity or the selection problem in insurance. Results Enrollment under PFHI was not associated with increase in utilisation of hospital care in the three states. Private hospitals dominated the empanelment of facilities under PFHI as well as utilisation. Out of Pocket Expenditure and incidence of Catastrophic Health Expenditure did not decrease with enrollment under PFHI in the three states. The size of Out of Pocket Expenditure was significantly greater for utilisation in private sector, irrespective of insurance enrollment. Conclusion PFHI in the three states used substantially larger vertical cover than national scheme in 2014. The three states are known for their good governance. Yet, the PFHI programmes in all three states failed in fulfilling their fundamental purpose. Increasing vertical cover of PFHI and using either ‘Trusts’ or Insurance-companies as purchasers may not give desired results in absence of adequate regulation. The study raises doubts regarding effectiveness of contracting under PFHIs to influence provider-behavior in the Indian context. Further research is required to find solutions for addressing gaps that contribute to poor financial outcomes for patients under PFHI.

As private equity firms continue to increase their ownership stake in various health care sectors in the US, questions arise about potential impacts on the organization and delivery of care. Using a difference-in-differences approach, we investigated changes in service-line provision in private equity-acquired hospitals. Relative to nonacquired hospitals, private equity acquisition was associated with a higher probability of adding specific profitable hospital-based services (interventional cardiac catheterization, hemodialysis, and labor and delivery), profitable technologies (robotic surgery and digital mammography), and freestanding or satellite emergency departments. Moreover, private equity acquisition was associated with an increased probability of providing services that were previously categorized as unprofitable but that have more recently become areas of financial opportunity (for example, mental health services). Finally, private equityacquired hospitals were less likely to add or continue services that have unreliable revenue streams or that may face competition from nonprofit hospitals (for example, outpatient psychiatry), although fewer shifts were noted among unprofitable services. This may reflect a prevailing shift by acute care hospitals toward outpatient settings for appropriate procedures and synergies with existing holdings by private equity firms.