Health Policy

Objectives: Women's empowerment is a key determinant of health and well-being and may shape how women access and benefit from publicly-funded health insurance (PFHI). We aimed to examine whether different levels of women's empowerment were associated with 1) verification in India's PFHI Pradhan Mantri Jan Arogya Yojana (PM-JAY), 2) outpatient care utilization, and 3) resultant out-of-pocket expenditure. Design: We conducted a cross-sectional observational study. We analyzed data from a household survey, created a composite empowerment index using structural equation models, and used multivariate regression models to test associations between women's empowerment and the outcome variables. Setting: The study was conducted between December 2019 and February 2020 among PM-JAY eligible households in six Indian states (Bihar, Chhattisgarh, Gujarat, Meghalaya, Tamil Nadu, and Uttar Pradesh). Participants: 14,378 women across the six states. Results: Three main findings emerged: First, high levels of women's empowerment were associated with higher odds of completing PM-JAY verification (AOR: 1.22, 95% CI: 1.09-1.36). Second, women's empowerment was not associated with outpatient service utilization. And third, either medium levels of empowerment (coef = -0.49, p = 0.020) or PM-JAY verification (coef = -0.37, p = 0.034) was associated with lower OOPE for outpatient services. Women who had both, PM-JAY verification and medium levels of empowerment, experienced higher OOPE (coef = 0.45, p = 0.058). Conclusions: Women's empowerment is an important factor related with PM-JAY verification, but not with outpatient service use. OOPE varied depending on whether women were both empowered and PM-JAY verified or not. Our results suggest that institutional and structural barriers may play a greater role in healthcare access than individual factors pertaining to empowerment alone. Achieving equitable access therefore requires gender-responsive systems that reduce administrative barriers and support women in navigating the healthcare pathway. Our findings highlight the importance of integrating outpatient care into PM-JAY to increase financial protection, streamlining verification processes to improve women's engagement with PM-JAY and the broader health system, and advancing health financing reforms that better support women.

Background: While health system costs of COVID-19 are well documented, evidence on out-of-pocket costs to patients and families, including non-medical and time burden, is limited. This study aimed to estimate out-of-pocket medical, non-medical, and time burden of COVID-19 illness directly from patients and caregivers. Methods: Two cross-sectional surveys were fielded to national nonprobability samples of U.S. adults in Fall 2023: a personal burden survey (adult sample) and a caregiver burden survey (child sample). Surveys collected data on care setting, visit duration including travel and wait time, and medical and non-medical out-of-pocket costs. After applying quality-based exclusion criteria, 409 adult sample and 52 child sample responses were analyzed. Results: Over 87% of respondents were insured. Median out-of-pocket medical costs per visit were low, ranging from $5 (emergency department) to $10 (urgent care) in the adult sample, and from $0 (emergency department) to $75 (hospitalization) in the child sample. Median non-medical costs were $28 or less across care settings. Median time spent receiving care ranged from 90 minutes (primary care, child sample) to 300 minutes (emergency department, adult sample). Despite the relatively low reported out-of-pocket costs, COVID-related financial challenges were reported by 34% of the adult sample and 29% of the child sample, with the most common difficulty being paying non-medical bills (11% and 15%, respectively). Twelve percent in both groups reported problems paying COVID-19-related medical bills. Conclusions: In this post-pandemic non-probability sample, individual out-of-pocket costs for COVID-19 illness were relatively modest. However, time burden was substantial and one-third of respondents reported financial hardship. These estimates, including non-medical and time burden not captured in administrative data, can support more robust economic evaluations of COVID-19 prevention and treatment interventions.

Background: Lean Healthcare has been adopted as an approach to reducing waste, enhancing process efficiency, and optimizing clinical and administrative workflows. However, empirical evaluations aimed at establishing a causal relationship between Lean Healthcare interventions and outcomes remain limited. This evidence gap is particularly pronounced in the context of large-scale implementations in low- and middle-income countries, where more efficient allocation could yield substantial improvements in population health. Methods: We conducted an impact evaluation study employing a staggered difference-in-differences approach to estimate the effects of the Lean Healthcare in Emergency Departments (ED) initiative in the Brazilian context. The intervention was implemented between January 2017 and December 2025 across 309 hospitals. We analyzed hospital-level indicators of the number of hospitalizations and the average length of stay (in days) among patients admitted through urgent or emergency pathways. Results: Our estimates suggest that the intervention was associated with an average increase of 38.6 admissions per hospital per month (p = 0.033), corresponding to approximately a 5.9% increase relative to the monthly admission volume. We also observed a reduction of 0.184 days in the average length of stay (p = 0.058), equivalent to an approximately 3.0% decrease in hospitalization time. These effects exhibited distinct temporal dynamics: the effect on the number of hospitalizations emerged gradually and increased with the duration of the intervention, whereas the reduction in length of stay became evident earlier. Conclusion: This study provides evidence of a causal effect of Lean Healthcare implementation in emergency departments on operational performance. The simultaneous increase in admissions and reduction in length of stay suggests improved bed productivity and effective capacity without expanding physical infrastructure. These findings support the use of flow-management methodologies as an effective strategy for mitigating emergency department overcrowding while increasing service capacity.

This paper examines the impact of Cancer Care Ontario's regionalization of lung cancer surgery on blood transfusion use for thoracic surgery at The Ottawa Hospital. Using aggregate data scraped from the paper ''Changing trends in blood transfusion: an analysis of 244,013 hospitalizations'' by Shehata et al. (2014) we estimated the effect regionalization on the log mean number of blood transfusions among thoracic surgeons (who treat lung cancer), utilizing other surgical specialties as controls. We found that the average number of blood transfusions increased significantly among thoracic surgeons following the opening of a new cancer care centre at the hospital in December 2009, while control specialties showed no parallel change. Contextualizing these results in a modified ''population level'' treatment threshold model, it is argued that the main driver of this increase in blood transfusions among thoracic surgeons was due to the influx of less skilled thoracic surgeons to The Ottawa Hospital, and the closing of thoracic surgery units at smaller hospitals which was part of the broader regionalization process.

Objectives To investigate the association between time spent in NHS Type 1 emergency departments (EDs, consultant led 24 hour services with full resuscitation facilities) and risk of leaving employment and hospitalisation after leaving the department alive up to two years after attendance. Methods We conducted a retrospective cohort study using linked administrative data from the NHS Emergency Care Dataset, Hospital Episode Statistics, Census 2021, and mortality records. ED length of stay was categorised from under 2 hours to 12 hours or more. Cox proportional hazards models were fitted to estimate the association between ED length of stay and subsequently leaving employment or being hospitalised over a two year follow-up period, adjusting for demographic, socioeconomic, and clinical characteristics. Results Our study population comprised 3,347,008 individuals aged 25 to 64 who attended a Type 1 ED in England between April 2021 and March 2023. For leaving employment, adjusted hazard ratios (aHRs) increased from 1.04 (95% CI 1.03 to 1.06) for stays of 2 to <4 hours to 1.21 (1.17 to 1.24) for 12 hours or more, compared with stays under 2 hours. A similar but more pronounced gradient was observed for post-discharge hospitalisation, with aHRs rising from 1.06 (1.04 to 1.07) at 2 to <4 hours to 1.95 (1.91 to 1.99) for stays of 12 hours or more. Conclusions Prolonged time spent in the ED is associated with poorer outcomes among working-age employees, including reduced labour market participation and increased hospital use. These findings suggest that long ED stays may have wider and longer-term implications beyond immediate clinical outcomes, including potentially for national labour markets and economic growth.

Importance: The Medicare Physician Fee Schedule values ambulatory services using survey-based estimates of physician time, a costly process vulnerable to inaccuracy. EHR audit logs are passively and universally collected and likely meet the American Medical Association Relative Value Scale Update Committee (AMA RUC) Extant Database Standards for alternative data to inform service valuation estimates. However, audit logs' validity for estimating face-to-face time, a core component of many of the most used procedural codes, is unknown. Objective: To assess whether EHR audit logs can facilitate accurate estimation of physician-patient face-to-face time during ambulatory visits. Design: Single-site validation study pairing EHR audit logs with direct audio/video recordings of ambulatory primary care visits (reference standard). We assessed agreement between audit-log estimates and recorded visit duration with Bland-Altman analysis and mean absolute error. Setting: University of Pennsylvania Observer data repository, a multi-modal database of ambulatory visits to Penn Medicine primary care clinics including video and audio recordings, transcripts, clinical EHR data, and EHR audit-log data. Participants: 75 visits from 12 physicians with data collected between August 2023 and February 2025. Exposures: A rule-based algorithm estimated face-to-face time via clusters of physician EHR activity relative to patient check-in time. Inactivity thresholds were applied to differentiate intraservice time with no EHR activity (e.g., a physical exam) from the end of a visit, with longer thresholds used for longer visits. Main Outcomes and Measures: Duration of recorded face-to-face visit time. Results: Recorded face-to-face time averaged 31.6 minutes (SD, 13.9). The audit-log estimator was unbiased (mean bias: -0.63 minutes; 95% CI: -6.0 to 2.6; mean absolute error: 9.0 minutes) and estimated face-to-face time within approximately 2% (38 seconds) of the recorded visit time with no proportional bias (slope: 0.13; P = .25). The 95% limits of agreement were -25.7 to 24.4 minutes, and 37% of estimates fell within 10% of recorded duration. Conclusions and Relevance: In this validation study, EHR audit logs recovered unbiased estimates of ambulatory face-to-face time. Larger-scale studies are required to verify generalizability, but EHR audit logs offer a scalable means to improve the rigor of retrospective physician work relative value unit estimation. This study represents a first step in a potential paradigm shift for measuring components of the fee schedule across procedures, settings, and provider types.

Health systems increasingly record ICD-10 Z59 social-needs codes for housing, food, transportation, and related hardship to trigger referrals, report quality, and adjust risk. However code documentation occurs at varying rates and no study has separated what the code says about a patient's hardship from what it says about being documented at all. Using a linked electronic health record and claims corpus covering 4.95 million patients in 21 identifiable health systems, we matched 26,153 adults with a first outpatient Z59 code to similar uncoded patients and, as a negative control, repeated the entire design around an administrative code. Coding ranged from 1 percent to 24 percent of patients across systems and remained highly variable after adjustment for patient mix. A hardship code was associated with 67% (95% CI=1.61, 1.74) more emergency department (ED) visits and 43% ( 95% CI=1.38, 1.49) more hospital admissions in the next year (62 versus 49 of every 100 patients with any acute event). The administrative-code reproduced 46 percent of the Z59 association for ED visits and 70 percent for admissions. In the five systems with the most complete stay dates, no hardship-specific admission excess was detectable. Homelessness codes forecast two and a half times the ED visit rate. At national planning prices, excess emergency and preventable hospital care totaled roughly $2,000 to $2,500 per coded patient-year ($2,516 base scenario; about $1,100 under an exploratory assumed-discount scenario (not an estimate of hardship-attributable spending)), with the largest emergency burden among Medicaid patients. The Z code added no increment to clinical and utilization-based risk prediction models in any system.

As health AI tools enter clinical spaces, how they are perceived by providers in safety-net environments shapes whether their benefits reach underserved populations. We examined the degree and drivers of healthcare providers' trust in health AI, whether that trust moderates perceived benefits for safety-net populations, and how providers balance benefit against concern across four specific hypothetical AI tools. We used a two-study mixed-methods design: 18 semi-structured interviews with healthcare practitioners and research leaders, followed by a survey of 229 Texas healthcare providers incorporating four vignettes describing hypothetical AI tools, each rated for appeal and concern and followed by open-ended explanation. Responses were thematically coded and stratified by self-reported trust in health AI (47.6% high trust, 52.4% low trust). Low-trust respondents most often cited building trust (50.5%) and data bias and accuracy (33.0%) as drivers of their current trust level, while high-trust respondents more often cited efficient and effective care (23.5% vs. 3.7% low-trust, p<0.001) and accuracy of data (11.8% vs. 1.8% low-trust, p=0.004); concerns about data security, governance, and the need for human oversight were raised at similar rates by both groups. When asked how AI could specifically benefit safety-net populations, both groups converged on expanding access to care (45.9% each), and none of 25 benefit-related codes differed significantly by trust group. Across all four vignettes, mean appeal ratings exceeded mean concern ratings, and high-trust providers rated every tool as more appealing and, for three of four tools, less concerning, without changing which tool ranked where relative to others. Providers exhibit conditional optimism: support is contingent on governance, human oversight, and context-sensitive implementation rather than on the technology itself. Realizing AI's promise for safety-net populations will require human-in-the-loop models, localized implementation strategies, community-informed design, and engaging providers directly in policy design and tool development.

Background: Patient satisfaction is a key measure of healthcare quality among people experiencing homelessness. Student-run free clinics (SRFCs) provide care to underserved populations, but the role of student involvement in patient satisfaction remains unclear. Methods: We conducted a cross-sectional study of patients receiving care at an SRFC. From February 2024 to February 2025, patients completed post-visit surveys assessing satisfaction that were evaluated using regression analyses. Results: Eighty-eight patients completed surveys, reporting high overall satisfaction (mean 9.26/10). In separate linear regression models adjusted for age, gender, and race, greater perceived benefit of student involvement was associated with higher satisfaction ({beta} = .298, p = .037), whereas perceiving the visit as too long was associated with lower satisfaction ({beta} = -.285, p = .019). Conclusion: Greater perceived benefit of student involvement was associated with higher patient satisfaction, whereas longer perceived visit duration was associated with lower satisfaction. These findings highlight the importance of balancing educational opportunities with efficient workflows in SRFCs.

Background/Aims This work aimed to estimate the annual tertiary healthcare and societal costs associated with paediatric congenital heart disease (CHD) in the United Kingdom using real-world data from a Level 1 cardiac surgical centre in the National Health Service (NHS). Methods A prevalence-based cost-of-illness analysis was conducted using patient-level inpatient and outpatient activity data from Evelina London Children's Hospital between 1 June 2023 and 31 May 2024. Costs were estimated from NHS and societal perspectives and extrapolated to national level using National Congenital Heart Disease Audit (NCHDA) procedural activity data. Healthcare costs included tertiary centre care costs. Societal costs included parental productivity losses and impacts on lifetime earnings for children. Deterministic sensitivity analysis explored parameter uncertainty. Results Approximately 9.6% of UK paediatric CHD procedures were undertaken at Evelina London Children's Hospital at a cost of {pound}15.0 million per annum, corresponding to a national estimate of {pound}156.4 million. Single-ventricle procedures accounted for 4.8% of inpatient activity but 19.4% of inpatient costs. Sensitivity analysis produced national healthcare cost estimates ranging from {pound}125.1 million to {pound}187.7 million. National productivity losses associated with parental absence from work were estimated at {pound}82.4 million annually. Individuals with CHD were estimated to experience a mean reduction in lifetime earnings of {pound}81,509. Conclusion Paediatric CHD imposes a substantial economic cost on the UK healthcare system and wider society. This study provides the first real-world national estimate of the economic impact of paediatric CHD in the UK and may inform future service planning, research investment, and innovation adoption strategies.

We analyse the effect of waiting time for elective musculoskeletal treatment on labour market outcomes in England using hospital records for working-age adults who received treatment between April 2015 and March 2023 to Census, tax and benefit records. To address clinical prioritisation and unobserved severity, we leveraged provider-level waiting time as an instrument for individual waiting time and estimated two-stage least squares models adjusted for baseline labour market outcomes, demographic and socioeconomic characteristics, and provider, referral-time and procedure fixed effects. We find that longer waits reduce annual employee earnings, with effects persisting for up to five years. For an additional four weeks of waiting, the largest estimated annual losses range from {pound}301 for osteoarthritis to {pound}487 for other joint disorders. There was no evidence of effects on employment status or benefit receipt, suggesting that delays primarily operate through reduced productivity or hours worked among those who remain employed. Reducing waiting times may not only improve health outcomes but help patients maintain earnings and support economic

Bangladeshi immigrants are a rapidly growing U.S. immigrant population, yet little is known about how pre-migration healthcare experiences shape healthcare use after migration. This qualitative study explored how healthcare norms from Bangladesh influence the health-seeking behaviors of Bangladeshi immigrants in the U.S., the barriers and facilitators they encounter, and their perceptions of care quality. Semi-structured interviews were conducted with 29 Bangladeshi-born adults living in the U.S. from September 2020 to January 2021 and analyzed using the constant comparative method. Participants described healthcare expectations shaped by the healthcare system of Bangladesh, which is mostly out-of-pocket and resource-limited, including symptom-driven rather than preventive care, self-treatment, and family-based caregiving. In the U.S., they faced barriers such as insurance confusion, long waits, difficulty establishing care, coverage disruptions, financial concerns, and language challenges. While participants valued culturally and linguistically concordant care, preferences for Bangla-speaking or co-ethnic providers varied, especially when perceived quality was low. Community networks, online information, self-education, and self-advocacy helped facilitate care. Provider communication strongly shaped perceptions of U.S. healthcare: feeling heard, respected, and well-informed promoted trust, while dismissal or delayed diagnosis led to skepticism and avoidance. These findings suggest that healthcare engagement of Bangldeshi immigrants is shaped by both structural barriers and pre-migration norms. Improving access will require attention to subgroup-specific histories, insurance navigation, language access, and the relational quality of care.

Abstract Background: In Pakistan approximately 7 million people were living with diabetes in 2014. To address the burden of diabetes, a randomized controlled trial was conducted to evaluate the effectiveness of a standardized care package in improving diabetes outcomes in health care settings of Punjab, Pakistan. A costing study was embedded within this RCT to estimate the cost-effectiveness of the standardized diabetes care package in improving diabetes outcomes. Methods: 166 patients were recruited for the costing study from 14 public health clusters in Sargodha district of Pakistan. Analyses was conducted using the societal perspective, broader societal perspective and sensitivity analyses to explore the uncertainty in analyses. Data was analysed for both 166 participants enrolled in costing study and for the 495 participants recruited in the cRCT, using multiple amputations. Results: Using the societal perspective, standardized diabetes care package was found to be cost-effective as compared to the standardized care and was cost saving as the costs in the intervention arm were lower than those in the control arm whereas greater effects were demonstrated in the intervention arm. As per the broader societal perspective and the healthcare perspective only, the standardized care package was not proven to be cost-effective. Keywords: Diabetes management, health services cost, out of pocket cost, cost-effectiveness.

Background Pediatric neurocritical care (PNCC) has emerged as a distinct field, and many hospitals have moved to establishing dedicated PNCC programs. How practice change is implemented within these programs is not well understood. This study had two objectives. First, we sought to understand the barriers and facilitators of practice change in PNCC from the perspectives of the multiprofessional clinicians who deliver it. Second, we sought to characterize how well the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) implementation determinant framework captures them. Methods We conducted semi-structured interviews with a purposive sample of clinicians involved in PNCC at three U.S. academic medical centers. The interview guide was developed using i-PARIHS to organize barriers and facilitators of practice change across the innovation, recipients, context, and facilitation constructs. We applied framework analysis, combining deductive i-PARIHS, study-specific, and inductively derived categories. Two coders independently indexed the transcripts and reconciled them to consensus, with first-author adjudication. Preliminary site-level findings were validated with participants. Results We interviewed 33 clinicians: 24 physicians, 7 nurses, and 2 advanced practice providers. Most determinants of practice change mapped to existing i-PARIHS constructs, but three were not adequately captured by the framework as currently specified. The most consequential was an interprofessional authority gradient that determined whose preferences prevailed when intensive care, neurology, and neurosurgery disagreed. The other two were clinician autonomy, which served as the lens through which the acceptability of a change was judged, and the affective state clinicians bring to practice change. Receptivity depended more on recipients' values, prior experience, and capacity to absorb change into a demanding workflow. Facilitation was variable, frequently under-resourced, and dependent on credibility across professional groups. We translated these findings into three propositions linked to implementation strategies and outcomes. Conclusions Participants attributed practice change in PNCC more to the recipients of change, the multiprofessional context, and the availability of facilitation than to the strength of evidence for a given practice. i-PARIHS captured most barriers and facilitators well but may be adapted in this setting. Credible, resourced, authority-sensitive facilitation may improve the prospects for sustained practice change as institutions develop PNCC programs.

Background Anxiety, depression and menstrual problems are conditions that significantly impact an individual's health and wellbeing yet, barriers to healthcare can prevent access to appropriate medical care. Trust in doctors is a notable factor as previous studies have shown that it affects engagement with healthcare services and has declined in recent years. Methods Using the Avon Longitudinal Study of Parents and Children, we investigated associations between trust in doctors and healthcare access at two timepoints, for anxiety, depression (mothers and partners) and menstrual problems (mothers only). Results Mothers reporting greater trust in doctors were more likely to access care for anxiety (n=1849, adjusted odds ratio (AOR) 1.11, 95% confidence interval (95% CI) 1.08-1.14), depression (n=2411, AOR 1.10, 95% CI 1.07-1.12), and menstrual problems (n=1723, AOR 1.04 95% CI 1.01-1.06). If mothers and partners endorsed 'the doctor is always helpful', they were more likely to access care for depression (mothers: n=2005, AOR 1.30, 95% CI 1.16-1.46; partners: n=580, AOR 1.46, 95% CI 1.05-2.03) and for anxiety (mothers: n=1892, AOR 1.35, 95% CI 1.19 to 1.54; partners: n=734, AOR 1.40, 95% CI 1.02-1.91). Implications This study supports association between trust in doctors and healthcare access for anxiety, depression and menstrual problems, particularly amongst mothers. This contributes to previous literature that suggests that trust remains an important factor in understanding treatment gaps, and that researchers and clinicians must work to improve public trust in healthcare systems.

Abstract Many women experience menopausal symptoms after stopping hormone replacement therapy (HRT). An evidence gap remains regarding how women and healthcare professionals (HCPs) make decisions about discontinuing and restarting HRT. Aim To explore experiences of HCPs that support women when they discontinue and restart HRT. Design and setting Qualitative study with HCPs working in NHS primary care. Method Semi-structured interviews with HCPs (n = 15) conducted between October 2025 and March 2026. A preliminary coding template was created using the discussion guide as a framework. Each interview was then coded inductively against the template which developed iteratively. Team based discussion helped refine codes into themes and sub-themes, and a subsequent conceptual model was created. Results The model describes HCPs experiences of supporting women to discontinue HRT as an iterative process characterised by uncertainty. Discussions about discontinuation were commonly prompted by changes in clinical risk or annual HRT review, but decisions about whether and when to stop also depended on womens symptoms, side effects, life stage and readiness. HCPs described agreeing an individualised discontinuation strategy, providing support during the process, and reviewing women after discontinuation to consider alternative treatments or, where appropriate, restarting HRT. Conclusion HCPs recognise the importance of readiness to discontinue and that decision making should be woman led, with HCP support, clear practice guidance and opportunities to revisit treatment. Further research is needed to support women weigh up their personalised risk and benefit of continuing/discontinuing and identify discontinuation strategies that limit resurgent symptoms.

Abstract Background: We developed and evaluated a behaviour change intervention to improve health outcomes for pregnant women and neonates in rural Pakistan. Methods: We used a parallel, three-arm, unblinded, cluster randomised controlled trial design. Eligible clusters were upgraded health facilities plus all associated community health workers (CHWs) and catchment populations. Randomisation was by computer program (1:1:1 ratio). All pregnant women were eligible. Control CHWs provided usual care to pregnant women. Arm 1 CHWs provided structured birth planning, including birth preparedness and complication readiness planning, and a voucher allowing free travel to access emergency obstetric/neonatal care. Arm 2 CHWs provided structured planning alone. Co-primary outcomes were skilled (doctors and midwifery-trained cadres) birth attendance and neonatal mortality (NNM) at 28 days. Findings: Between November 2011 to May 2012, respectively in arms 1, 2 and the control 21,317, 19,267 and 18,867 women were recruited, and 21,214, 19,125 and 18,812 were followed-up and analysed. Vouchers were almost never used to reclaim travel costs. Skilled attendance was 64% (12,045/18,812) in the control arm, 72.3% (15,335/21,214) (adjusted odds ratio [aOR] 1.56 [95% CI: 0.93, 2.62; p = 0.21]) in arm 1 and 78.1% (14,944/19,125) (aOR 2.16 [95% CI: 1.29, 3.62; p = 0.007]) in arm 2. NNM was 13.4 (per 1,000 live births) in the control arm, 45 (aOR 2.32 [95% CI: 1.48, 3.63; p < 0.001]) in arm 1 and 16.2 (aOR 1.36 [95% CI: 0.84, 2.21; p = 0.21]) in arm 2. Conclusions: Birth planning had inconsistent effects on skilled attendance and NNM, including apparently negative effects on NNM, with concerns about the quality of midwifery care. However, the control arm and arm 2 NNM was improbably low for this setting, and bias in the outcome may explain the observed differences. The travel voucher was little used.

Background: Chronic pharmaceutical stock outs hinder Universal Health Coverage in Ethiopia. To address this, the Ministry of Health introduced the electronic Logistics Management Information System for inventory visibility and Auditable Pharmaceutical Transactions and Services for financial management. However, no national study has tested their combined impact. This study evaluated the individual and synergistic effects of electronic Logistics Management Information System and Auditable Pharmaceutical Transactions and Services on essential commodity availability across Ethiopian public healthcare facilities. Methods; We conducted a secondary analysis of the 2024/2025 Ethiopian Service Provision Assessment dataset utilizing 1245 public facilities nested within 125 clusters. The primary outcome was optimal essential commodity availability (zero stock outs and 100% tracer commodity presence). A two-level mixed-effects logistic regression model with an interaction term evaluated synergy, reporting Adjusted Odds Ratios with 95% Confidence Intervals. Results; Overall optimal availability was 54.2% (95% CI; 51.4%-57.0%). Implementation rates were 41.2% for eLMIS, 38.2% for APTS and 26.5% for dual implementation. Facilities using eLMIS alone (AOR = 2.15; 95% CI: 1.52-3.04) and APTS alone (AOR = 1.82; 95% CI; 1.28-2.58) showed higher security. Dual implementation showed a profound synergistic effect (AOR = 4.32; 95% CI; 3.25-5.74, p < 0.001). Positive predictors included functional cold chains (AOR = 2.08), qualified staffing (AOR = 1.68), hub proximity (AOR = 1.58) and urban settings (AOR = 1.95). The model explained 66.2% of regional variance. Conclusion; Dual implementation of electronic Logistics Management Information System and Auditable Pharmaceutical Transactions and Services creates a powerful synergistic impact on pharmaceutical availability. Synchronized national scale-up and cold chain investments are urgently needed to achieve supply chain resilience and Universal Health Coverage in Ethiopia.

Abstract Background: The qualitative study was conducted to understand the socio-cultural factors (challenges and enabling factors) those influence the decisions and ability of the pregnant women and their families to make better use of the available safe birthing and EmONC services in two districts (Khanewal and Jhang) of Punjab, Pakistan. Objectives: To explore the key social, personal and professional considerations (factors) that influence the women (and family) decision and ability to utilise various birthing and EMONC services and to understand care providers interest and ability to offer these safe birthing services in the districts of Jhang and Khanewal in Pakistan. Study Design: The qualitative study was conducted, during the year 2013/14, on three rural health centers and two district headquarter hospitals in Kanewal and Jhang districts in Punjab. Through purposive sampling, 42 registered clients were interviewed to explain the different birthing experience along with 15 service providers, 2 district level programme managers and 2 transport vendors. The collected qualitative data from interviews were transcribed, and key emerging concepts/ themes were identified. A range and continuum of coded responses/ comments were compiled and discussed under each theme. Results: Main themes were structured birth planning; antenatal at health centres; skilled birth attendance; emergency obstetric and neonatal care (EmONC); and EmONC travel. The study found that pregnant women consult their husbands and mother in laws for taking birthing decisions; consult the skilled birth attendant for management of complication; private clinics are preferred for various social and logistic reasons; many private clinics doing caesarean are not adequately equipped; male reluctance (for cultural reasons) to make in-advance transport arrangement for possible EmONC; travel voucher utilisation remained low because of limited coverage and less-friendly procedures. Conclusion: Safe birthing decisions could be complex; and influenced by multiple social, cultural, economic, service access and quality considerations. Safe birthing practices can be improved if interventions remain sensitive to these preferences and realities. Keywords: Skilled birth attendance, social determinants, lady health workers, birth planning

Introduction: Hospitals face increasing financial pressures. Hospital reimbursement is tied to the Case Mix Index (CMI). The CMI is a measure of complexity of care provided by the hospital and the total reimbursement is the CMI multiplied by a base pay factor, multiplied by the total number of discharges from the hospital. The few studies in the literature have involved logistically complex attempts to improve documentation. We sought to determine whether limited, structured chart review by surgeons can improve CMI in a multihospital system. Methods: We performed a prospective, observational study in a four-hospital academic medical system on all surgical patients from 10/2022 to 7/2026. Two clinically busy trauma surgeons performed limited structured chart reviews for select surgical patients. In the limited intervention period (1/2024-9/2024) this focused only on the trauma division. In the full intervention period (10/2024-7/2026) expanded to all surgical patients across the system. The main outcome was surgical case mix index (CMI). Results: A total of 35,695 patients were included (13,811 pre-intervention, 9,337 limited intervention, 12,547 full intervention). CMI increased significantly among surgical patients across the whole system (2.68 (95%CI 2.65-2.71) to 2.87 (95%CI 2.82-2.92) to 2.97 (95%CI 2.93-3.01), ANOVA p <0.001). Overall length of stay was unchanged among surgical patients across the whole system. The estimated increase in revenue per patient attributable to this intervention was $3,912 in surgical patients across the system. Conclusion: Having trauma surgeons review targeted surgical patients for high value documentation capture significantly enhanced the CMI and estimated revenue of surgical services across a multi-hospital integrated health system. Such documentation reviews may represent a practical method to improve hospital documentation and revenue.