Health Policy

Background: Postpartum Medicaid coverage and support are central maternal health policy issues, but county-level tools for identifying where postpartum Medicaid populations may face overlapping administrative, clinical, and contextual access barriers remain limited. Methods: We developed and internally validated a county-level Postpartum Medicaid Access Barrier Index for all 3,144 counties and county equivalents in the 50 states and District of Columbia. Public data sources included geocoded Medicaid office locations from Shafer et al. (2024), U.S. Census county boundaries, American Community Survey 2024 5-year county indicators, the National Center for Health Statistics 2023 Urban-Rural Classification Scheme for Counties, and county-level hospital-based obstetric care status from the University of Minnesota Rural Health Research Center. Medicaid office locations were spatially assigned to counties, then merged with ACS indicators, rurality, and obstetric care status by county FIPS. The theoretical score range was 0-11; the index assigned higher weights to two core infrastructure measures and lower weights to contextual indicators. Internal validation assessed component structure, known-groups validity, geographic clustering, weighting sensitivity, added value over simpler infrastructure screens, and separation across concern levels. Results: Across 3,144 counties, observed scores ranged from 0 to 10 on the theoretical 0-11 score, with a mean of 3.65 and median of 3. High or highest concern counties accounted for 665 counties (21.2%), including 56 counties (1.8%) in the highest concern group. Component correlations were low-to-moderate, with an average absolute phi of 0.176 and no pairwise component correlation at or above 0.50. Known-groups validity was strong: dual administrative and clinical gap counties scored 4.43 points higher than counties with neither gap (Cohen's d = 3.28, p < 0.001). Scores were geographically clustered (Moran's I = 0.375, permutation p = 0.005). A dual-gap-only screen captured 386 of 665 high/highest concern counties (58.0%) but missed 279 high/highest counties; a parsimonious rule requiring one infrastructure gap plus at least four contextual flags recovered 265 of these 279 missed counties (95.0%) with 100.0% precision. Discussion: The Postpartum Medicaid Access Barrier Index provides a transparent county-level screening tool for identifying places where administrative, clinical, and contextual barriers may overlap for postpartum Medicaid populations and should be externally validated against Medicaid enrollment, renewal, churn, coverage continuity, and postpartum care outcomes.

Objectives: The Pharmacy First (PF) service was introduced across England from 31 January 2024 to expand the clinical role of community pharmacies and improve access to primary care. This paper describes use of PF in its first 12 months, in terms of uptake, access routes, consultation outcomes, geographic variations, service costs and antimicrobial supply. Methods: A descriptive analysis of all PF consultations submitted for payment to NHS Business Services Authority in England between 31 January 2024 and 31 January 2025. Pharmacy-level consultation data were linked to national data on population, location and pharmacy characteristics. PF use was examined using population-standardised consultation rates and consultations per pharmacy. Results: During the first year of implementation, 2,205,731 PF consultations were recorded as delivered across 11,349 pharmacies, with payment of GBP123 million to pharmacies. Uptake increased steadily over time. Most consultations were for acute sore throat (33%) and uncomplicated urinary tract infection (27%), with corresponding antibiotics, phenoxymethylpenicillin and nitrofurantoin being the most supplied. Most people self-referred (74%) into the service, with 95% of consultations managed without onward referral. Substantial geographic variation was observed. Northern regions had higher use based on the eligible population. The South East and Midlands had higher activity per pharmacy. London showed a distinct pattern, with higher self-referral into the service, lower medication supply and higher referral to other healthcare services. Higher consultation volume was weakly associated with pharmacy characteristics, including opening hours, pharmacy type and retail setting, and local context, in terms of socio-economic and geographic factors. Conclusions: PF had immediate uptake and is operating primarily as a direct-access model for common acute conditions. Findings suggest that PF is contributing to improved access to care and may shift demand away from general practice. However, the service uptake appears to be shaped by geographic location, proximity to other healthcare services and pharmacy characteristics.

Background: Brazil operates one of the world's largest national primary health care information systems. Since 2013, the Health Information System for Primary Care (SISAB), the digital platform of the e-SUS primary care strategy, has collected standardized records of all clinical and community health activities performed by Family Health Strategy teams across all Brazilian municipalities. Yet comprehensive longitudinal analyses of this national data infrastructure remain scarce in the international literature. Methods: Descriptive ecological study with time-series analysis using publicly available secondary data extracted from SISAB on May 18, 2026. Annual records were collected for four production types (Individual Care, Dental Care, Procedures, and Home Visits), disaggregated by all 27 Federative Units, covering April 2013 through March 2026. Per capita indicators were calculated using the 2022 Brazilian Demographic Census population by state. Results: The cumulative total of SISAB records from April 2013 through March 2026 is 12,421,073,299. Annual volume grew from 53.3 million in 2014 (first full year) to 1.96 billion in 2025, an approximately 37-fold increase over 11 years. A 9.0% decline in 2020 was associated with the COVID-19 pandemic, with full recovery by 2021. Procedures rose from 21.6% to 35.9% of total records between 2014 and 2025, reflecting deepening clinical record completeness. Per capita records varied 3.2-fold across federative units, from 29.0 (Distrito Federal) to 92.9 (Tocantins). Home visits, performed predominantly by Community Health Workers, accounted for 41.9% of all records, with the highest per capita rates concentrated in the Northeast region. Conclusions: SISAB constitutes a longitudinal national data infrastructure of exceptional scale, covering populations historically underrepresented in biomedical research: rural, Amazonian, and peri-urban communities. With over 12 years of continuous data and 184 million active registered patients, this system represents a strategic foundation for real-world evidence generation and the democratization of health science. Realizing this potential requires investment in data quality, interoperability, ethical governance, and scientific capacity aligned with Brazilian General Data Protection Law (Law n. 13,709/2018). Keywords: Primary Health Care; Health Information Systems; Family Health Strategy; Digital Health; Brazil; Community Health Workers; Real-World Evidence.

Background This study aims to explore the initiation and implementation of Jamkesus Disabilitas, a health financing scheme for people with disabilities in Yogyakarta Province, using the UK Medical Research Council (MRC) Process Evaluation for Complex Intervention. Methods We interviewed 19 people with disabilities with different types of impairment as beneficiaries, 3 people from Organisations for People with Disabilities (OPDs), 4 government officials, and 4 health providers, either in person, online, or by phone. Interviews were conducted by LA, and took place in Yogyakarta Province in July-September 2024. Data were analysed using a thematic analysis approach using NVivo 15 software. Findings Jamkesus Disabilitas has improved access to assistive technology (AT) and demonstrated inclusive care through its one-stop service. It also highlights the importance of consistent leadership in disability-inclusive health systems. However, challenges persist, including uneven AT quality, low coverage, limited availability, and inadequate data for evaluation and planning persisted. Moreover, the absence of inclusive features in the regular service means the scheme has not fully closed the equity gap in healthcare access for people with disabilities. Conclusion Jamkesus Disabilitas has expanded access to AT overlooked by the national health insurance (JKN). However, implementation should prioritise AT quality standards, financial and operational sustainability, and stronger data systems. Broader systemic reforms are also needed to embed disability inclusive practices in regular healthcare service delivery. Keywords Health equity, inclusive health system, social protection, health insurance, health financing

Objective: Since 2020, medication abortion provision in the U.S. has been reshaped by changing abortion policies and expanded telehealth access, yet little is known about how medication abortion service delivery has evolved. We examined national trends in service delivery from 2020 to 2025, including changes in abortion facility types, telehealth provision, and gestational limits. Study Design: Using ANSIRHs Abortion Facility Database, a national census of publicly advertising abortion facilities (2020 to 2025), we analyzed trends in medication abortion service delivery. Systematic web searches and mystery shopper calls gathered data on facility types, telehealth provision, and gestational limits. Data analysis included frequencies and comparisons across regions and states. Results: Medication abortion-only facilities increased nationally, from 35% of facilities in 2020 to 65% in 2025, with substantial growth in abortion-restrictive regions such as the Midwest and South. By 2025, 99% of facilities provided medication abortion. Telehealth provision expanded from 7 facilities in 2020 to 606 facilities by 2025, driven by growth in both brick-and-mortar facilities offering telehealth care and new virtual clinics. Overall, 46% of all facilities offered medication abortion by telehealth in 2025. Gestational limits for medication abortion increased nationally, from <1% of facilities offering medication abortion after 11 weeks in 2020 to 38% in 2025. Conclusions: Medication abortion service delivery has adapted to legal and logistical challenges by increasing telehealth options and expanding gestational limits. These changes improve access for abortion seekers, especially those living in restrictive environments. Sustaining abortion access will require ongoing provider adaptation and supportive policy environments.

People with a learning disability experience marked health inequalities. In Wales, Acute Learning Disability Liaison Services (ALDLS) are delivered by specialised learning disability services, and all roles within them are undertaken by Learning Disability Liaison Nurses (LDLN). These services aim to enable access to, and delivery of, secondary care by supporting reasonable adjustments, facilitating communication, and coordinating care for people with learning disability during hospital encounters. However, independent evidence of the impact of ALDLS on patient care remains limited. This evaluation tries to address this evidence gap by examining hospital staff perceptions of the visibility, role, and impact of ALDLS across Welsh Health Boards, with the aim of informing service design and development and improving secondary care access and care for people with learning disability. The service evaluation used a qualitative approach involving interviews and a focus group with hospital staff across the seven Welsh Health Boards who had experience working with or interacting with ALDLS staff to care for patients with learning disability. Findings cover six key areas including i) visibility and delivery of ALDLS, ii) Barriers and challenges to effective ALDLS delivery, iii) Enablers of effective ALDLS delivery, iv) Positive impacts for patients with learning disability, v) Negative impacts and unintended consequences when the service is absent or limited, and vi) Participants recommendations for future improvements of ALDLS. To synthesise the findings, we developed an overview diagram, which illustrates how ALDLS may influence care quality in acute hospitals. The overview places the liaison service at the centre, showing how organisational enablers and barriers shape its delivery, and how its core functions support improvements in safety, timeliness, effectiveness, efficiency, equity, and patient-centred care. From the findings we have identified recommendations for practice and policy. These include that ALDLS should be recognised as a core, safety-critical component of acute hospital care for people with a learning disability, rather than an optional add-on. In practice, services should be more visibly embedded within routine pathways, with consistent site-based presence, clear referral criteria, early identification through electronic flagging and notification systems, and routine involvement in multidisciplinary planning for complex admissions and procedures. At policy level, ALDLS provision should be recognised within equality and patient safety frameworks as an essential service requiring sustained investment, national minimum configuration standards, adequate staffing, and better-integrated digital systems to support continuity, equitable access, and person-centred care.

The COVID-19 pandemic exposed critical vulnerabilities in globally concentrated biomedical supply chains and accelerated interest in nearshoring and hemispheric health-security strategies. The Dominican Republic, already the third-largest medical device exporter in Latin America, occupies a strategically significant but institutionally constrained position within this realignment. This study evaluates stakeholder perceptions of the principal opportunities and barriers affecting biomedical ecosystem development in the Dominican Republic, with particular attention to governance, workforce capacity, and value-chain upgrading pathways. Methods. A concurrent mixed-methods design was employed, integrating a cross-sectional electronic survey of 142 purposively sampled domain experts (administered September-December 2025) with a qualitative executive consultation with senior government and industry leaders. Survey analyses combined descriptive statistics, one-sample t-tests against the scale neutral midpoint, chi-square goodness-of-fit tests, Friedman non-parametric ranking, Spearman rank correlations, and exploratory linear and logistic multivariable regression. Qualitative responses were analyzed using a framework approach grounded in the Triple Helix model of innovation systems. Results. Perceived government support was significantly below neutral (mean = 2.67, SD = 1.12; p = 0.034). Workforce shortages (83.3%) and weak academia-industry collaboration (71.4%) were the most frequently endorsed barriers ({chi}2(5) = 18.7, p = 0.002). Regulatory modernization (88.1%) and workforce development (85.7%) ranked as the highest-priority policy levers (Friedman p = 0.005). Clinical trials and contract research organization services were the dominant sub-sector priority (76.2%, binomial p < 0.001). In multivariable analysis, perceived government support, talent availability, and confidence in IP protection jointly explained 46% of the variance in sector competitiveness (R2 = 0.46, p < 0.001). Strong majority support existed for a formal public-private biomedical coordination authority (73.8%, p < 0.001).Conclusion. Institutional credibility and advanced human capital--rather than geography or market access--are the perceived binding constraints on the Dominican Republics biomedical trajectory. Regulatory modernization, targeted workforce investment, and the establishment of a national biomedical coordination authority represent the highest-leverage interventions for positioning the country as a hemispheric hub for biomedical manufacturing, clinical research, and health security.

Background A small proportion of hospitalized patients generates a disproportionate share of inpatient admissions, bed-day utilization, and associated health expenditure globally. In Saudi Arabia, where Vision 2030 mandates measurable reductions in preventable hospitalizations and hospitals consume approximately 79% of public health expenditure, population-level evidence on inpatient frequent utilization is absent from the published literature. A key methodological limitation of existing studies is reliance on a single threshold that cannot distinguish acute high-frequency episodes from sustained multi-year hospital dependence. Methods A retrospective cross-sectional study analyzed electronic health records from three public hospitals in Jeddah - East Jeddah Hospital (EJH), King Abdul-Aziz Hospital (KAAH), and Thagher Hospital (TH) - for January 2022 to December 2024. Records from two clinical information systems (Oasis at KAAH and TH; Careware at EJH) were harmonized using an eight-stage data quality protocol applied to 258,391 raw encounters, yielding a final cohort of 82,160 unique patients and 100,685 valid inpatient visits. Three complementary definitions were applied: Frequent Utilizer (FU: >=3 admissions within any rolling 365-day window), Persistent Utilizer (PU: >=3 admissions with >=24 months between first and last), and Yearly Utilizer (YU: >=1 admission in each of 2022, 2023, and 2024). Analyses were conducted in JASP 0.95.4. Results FU prevalence was 2.96% (n=2,434), PU 0.60% (n=494), and YU 0.62% (n=507). Overlap analysis identified 177 compound utilizers (0.22%) satisfying all three criteria simultaneously, with a median of 7 admissions and 33.44 bed days - more than thirteen times the standard patient median. Compound utilizers had the youngest median age of any utilizer group (24 years), while Saudi nationality concentration rose progressively from 75.0% in standard patients to 87.6% in compound utilizers, and female predominance was highest in the persistence-defined groups (PU-only 62.9%, YU-only 63.6%). All three ANOVA models confirmed significant utilizer status x hospital interactions (all p<.001). Logistic regression confirmed age, Saudi nationality, and hospital as independent predictors across all definitions. A gender discrepancy - significant for males in FU Model 1 (OR=1.090, p=.039) but not Model 2 (p=.181) - was attributable to age confounding. Conclusions Approximately one in thirty-four inpatients meets the FU criterion in this Jeddah system, with significant between-hospital variation. The three-definition framework reveals clinically distinct utilization phenotypes invisible to any single threshold, including compound utilizers with extraordinary burden and unexpectedly young age, and persistent users entirely missed by annual-window definitions. Saudi nationality is the strongest and most consistent predictor across all definitions. Integrated clinical pathways connecting primary care and community services to hospital care, with shared accountability for quality across levels, are the recommended system response aligned with Vision 2030.

Background: Transition timing to post-acute rehabilitation after ischemic stroke is heavily influenced by non-clinical factors, introducing potential systemic disparities in care access. We evaluated the association between insurance payor status and acute hospital length of stay (LOS) prior to inpatient rehabilitation discharge among critically ill stroke patients. Methods: Using the MIMIC-IV database, we identified ICU-admitted adults with ischemic stroke discharged to inpatient rehabilitation (n=1,285). The primary outcome was hospital LOS prior to rehab transfer. Multivariable log-transformed linear regression evaluated the association with insurance payor (Medicare, private, other/unknown; reference: Medicaid), adjusting for demographics, diagnostic-code counts (medical complexity), and ICU LOS (acute illness severity). Results: Median hospital LOS before rehab discharge was longest for Medicaid patients (13.2 days) compared with private insurance (11.0 days) and Medicare (9.5 days). In the adjusted model, Medicare insurance was associated with a significantly shorter transition time to inpatient rehabilitation, corresponding to a 13.5% shorter acute hospital stay (adjusted LOS ratio 0.87; 95% CI: 0.79-0.96; p=0.005) relative to Medicaid. Private insurance demonstrated a descriptive trend toward shorter LOS that did not achieve statistical significance (adjusted LOS ratio 0.93; 95% CI: 0.84-1.02; p=0.122). Other and unknown payor categories showed no significant differences. Conclusions: Insurance payor status serves as an independent predictor of acute care transition timing for stroke patients requiring inpatient rehabilitation. The prolonged acute stays observed among Medicaid beneficiaries suggest significant non-clinical, administrative bottlenecks in post-acute placement, underscoring the critical need for standardized, streamlined insurance approval pathways to ensure equitable neurological recovery.

Ethnic minority and migrant populations experienced disproportionately severe COVID-19 outcomes across Europe, yet the mechanisms underlying these disparities, particularly inequities in healthcare access, remain insufficiently understood at the patient level. This qualitative study examines healthcare-seeking behaviours and access to care among ethnically diverse patients hospitalised with COVID-19 in Amsterdam between 2020 and 2022, and the contextual factors shaping their pathways to care. Twenty adults of Turkish, Moroccan, Surinamese, Ghanaian, and Dutch ethnic backgrounds, all hospitalised with COVID-19, were interviewed using a semi-structured retrospective approach to reconstruct individual care pathways from symptom onset to hospitalisation. Data were analysed thematically, guided by the Candidacy Framework and the Health Belief Model. Pandemic-induced structural disruptions, including healthcare system strain, capacity shortages, absent care protocols, and fragmented referral pathways, constituted the primary barriers to care across all ethnic groups. Participants with longer hospital stays tended to be older, less educated, and with more comorbidities, yet reported fewer barriers once hospitalised, as disease severity triggered prioritisation. Those with shorter stays or emergency department visits without admission encountered greater difficulties, including repeated discharge despite worsening symptoms. Language barriers and prior negative experiences with healthcare services compounded access challenges for some participants with migrant backgrounds, though pandemic phase and disease severity were the dominant determinants across the sample. Inequities in access to care were driven primarily by pandemic-induced structural factors rather than ethnic background. Pre-existing vulnerabilities among migrant groups, including reduced institutional trust and language barriers, intensified these structural barriers for some. These findings are directly relevant for equity-sensitive pandemic preparedness: crisis response frameworks must explicitly address structural accessibility alongside targeted support for groups facing compounding disadvantage.

Background: Human resources are one of the pillars of health systems. Since the World Health Organization's report on human resources issues, several countries have integrated this component into the various reforms aimed at strengthening their health systems. This study aims to explore the effects of reforming the intermediate level of a health system operating in a fragile state context. Methodology Our study was conducted in the Democratic Republic of Congo (DRC). It was a cohort study of the staff of the 14 Provincial Health Divisions (PHD) out of the 26 existing in the DRC. We established a database of the staff of these 14 PHD from 2016, just after the implementation of the intermediate level reform and the allocation of this staff by the Ministry of Health. We did a recall in 2021, in each of these PHD to survey this staff through a structured questionnaire and supplemented by the files of the agents available in each PHD. Sociodemographic, economic and academic variables were collected and analyzed. Data were entered into an Excel 2016 database and processed with SPSS software version 25. The chi-square test was used for comparison of proportions with a statistical significance level of p < 0.05. Risk ratios ratios (RR) and their 95% confidence intervals were calculated as measures of association. The error threshold was set at 5%. Results A total of 657 agents with an average age of 45.2 years had been identified in 2016 at the start of the survey and in 2021, 118 or 18% of them were no longer part of the PHD agents. Among the causes of absence noted: 48% of agents placed on leave, 16% promoted to other functions within the health system, 16% desertion and dismissal and 11% cases of death. 19.8% of absentees are executives, 19.5% men against 10.3% women; 22.3% of absentees in unstable provinces against 16.6% in stable ones. The factors associated with the absence of agents in the PHD remain the reaching of retirement age [RR (95% CI) = 5.5 (1.2-24.9) ]and male agents [RR (95% CI) = 3.2 (1.3-7.9)]. Among the agents who remained, 92% kept their initial position, 6% were subject to an internal permutation accompanied by a promotion. The factors associated with the stability of human resources at the level of the Provincial Health Division are: female gender, manager with experience or seniority > 5 years, Age > 35 years, Stable province, Presence of a partner bonus. Conclusion Even in a crisis and fragile context, health system reform is possible. It is possible to organize staff recruitment through a selection process independent of the political authorities of the Ministry of Health and supported by the technical services of the Ministry and partners . Experience and the presence of a financial bonus are motivating factors for staff stability. The involvement of Technical and Financial Support Partners in the recruitment process helped the Ministry of Health to minimize political influence in the recruitment of middle-level executives.

Background Advanced Practitioners (APs) are a growing multi-professional workforce within the National Health Service (NHS) in England, spanning nursing, pharmacy, allied health, and healthcare science disciplines. Despite their policy prominence, no national quantification of this workforce using routinely collected administrative data has been published. Existing intelligence relies on regional surveys, employer self-reports, and bespoke data requests, each limited in coverage and comparability. This protocol describes a secondary analysis of NHS Workforce Statistics to address this gap, to support national workforce planning and service redesign. Methods The Measuring Advanced Practitioner Presence, Patterns, and Evolving Distribution (MAPPED) study is a secondary analysis of NHS Workforce Statistics derived from the Electronic Staff Record (ESR), examining the AP workforce in Hospital and Community Health Services (HCHS) in England. The study combines longitudinal analysis of national trends from September 2014 to April 2026 (13 time points) with cross-sectional geographic analysis at NHS England region and Integrated Care System (ICS) levels in April 2026. APs are identified using National Workforce Dataset Job Role codes. The analytical framework comprises descriptive statistics, Mann-Kendall trend tests, Kruskal-Wallis tests, Gini coefficients, and Wilson score confidence intervals; trainee Advanced Practitioners are analysed separately. Reporting follows the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement and the STandardisierte BerichtsROutine fur SekundardatenAnalysen 2 (STROSA-2) checklist for secondary data analyses. Results and analysis This paper presents the study protocol; no results are reported. Planned outputs include national trend figures, distribution tables by staff group and Area of Work, geographic inequality measures using Lorenz curves, and sensitivity analyses addressing classification-version effects and generic code persistence. Discussion This study will provide the first national, longitudinal quantification of the AP workforce from routinely collected administrative data. The principal limitation is that Job Role coding accuracy varies across trusts, and the transition to profession-specific codes from the year 2022 creates a measurement discontinuity that sensitivity analyses address but cannot fully eliminate.

Background Parental health before pregnancy influences maternal and child outcomes. Primary care professionals, including general practitioners [GPs], midwives, and naturopaths, can provide preconception care, yet many report limited knowledge and difficulty accessing relevant information. This study described Australian GPs, midwives, and naturopaths preconception health literacy, including knowledge and ability to access information. Methods Between July and September 2022, Australian GPs, midwives, and naturopaths completed a 32-item online cross-sectional survey. Participants were recruited through professional associations, and data were analysed using descriptive and inferential statistics Results Participants (N=373) included naturopaths (40.7%), GPs (32.4%), and midwives (26.8%). Reported barriers to clinician health literacy including lack of preconception care resources (25.5%), and limited clinician knowledge (23.6%). The proportion identifying limited clinician knowledge differed significantly between professions (GP: 31.4%; midwives: 23.0%; naturopaths: 17.8%; p=0.030). The highest level of accurate knowledge regarding preconception exposures was for pre-pregnancy obesity (82.7%), while low birth weight was the most accurately identified preconception outcomes (83.7%). Incorrect responses were most common for maternal multivitamin use as an exposure (28.3%) and childhood leukaemia as an outcome (26.3%). Differences between professions were strongest for infant outcomes, with moderate associations observed for shoulder dystocia (V=.2355), precipitous labour (V=.2173), macrosomia (V=.2060), labour dystocia (V=.2018) and cryptorchidism (V=.2018). Discussion Preconception health literacy varies across primary care professions. Clinicians require greater access to targeted resources and education tailored to their differing scopes of practice and experience. Improving clinician preconception health literacy may strengthen consistent evidence-based care and support better maternal, child, and long-term family health outcomes.

Elective surgery late cancellations and ``did not attend'' (LCDNA) events waste theatre capacity, lengthen waiting lists, and impose avoidable costs on NHS Trusts. We present a decision-support approach that ranks upcoming elective procedures by expected cancellation cost and supports capacity-constrained outreach by selecting the highest-risk Top-K cases for intervention. Using cost-sensitive learning and a clinically grounded cost model, the policy reduces expected cost from approximately 103 GBP per case under business-as-usual to 77.08 GBP per case in a hospital-holdout (cross-site) evaluation designed to mimic deployment to a new hospital. In a complementary time-forward evaluation, representing prospective use within the same service environment, expected cost falls further to 70.97 GBP per case. The 6.11 GBP per-case difference between the two regimes highlights the added uncertainty introduced by cross-site operational shift and supports a conservative roll-out with local calibration and monitoring. Explainability analyses suggest that booking-to-procedure lead time, specialty or service line, calendar effects, and prior cancellation history are the strongest drivers of prediction, helping to inform tiered intervention workflows that prioritise near-term bookings and use model--pathway mismatches as an audit signal. Overall, the framework turns predictive performance into practical, capacity-aware policy guidance for reducing avoidable cancellations while supporting safe and equitable implementation.

Background: Unintended pregnancies can introduce stress and shift life trajectories. Social support may buffer these effects, yet its influence during an unintended pregnancy and into the early parenthood period is not clear. This study aimed to understand the types and gaps of social support experienced throughout this period. Methods: This study utilized interview data under the RISE UP study in The Hague, the Netherlands. 13 mothers and 8 partners who experienced an unintended pregnancy participated in semi structured interviews between 2024 and 2025. Interviews were thematically analyzed using House's social support framework. Results: Different types of support were highlighted across the entire timeline from pregnancy to early parenthood, underlining its dynamic nature. Emotional and instrumental support stood out the most throughout. A key form of emotional support was knowing that support is available, even if not needed immediately. Conclusions: Perceived support during unintended pregnancy is shaped more by contextual factors than by pregnancy intention. While emotional and instrumental support are valued throughout, their form differs by the family's unique circumstances, emphasizing the need for tailored support across the perinatal and postpartum periods.

Background: Post-checkup health guidance in Japan has traditionally relied on paper-based communication and manual administrative processes. These workflows are time-consuming, prone to transcription errors, and can delay timely engagement with health guidance recipients. Objective: To assess whether replacing a paper-based workflow with an integrated digital system using Microsoft Access, robotic process automation (RPA), and web-based responses could improve administrative efficiency, operational reliability, and engagement among health guidance recipients. Methods: This single-site quality improvement initiative redesigned the existing letter-based workflow. Access served as a central interface for managing recipients and generating guidance letters. RPA (EzRobot) automated repetitive clerical and billing-related tasks. A web form accessed via a QR code enabled recipients to respond digitally. Outcomes included manual administrative handling time per case, occurrence of transcription-related errors, health guidance completion rate, and guidance duration distribution. Results: Following implementation, staff active handling time per case decreased from approximately 10 minutes to less than 1 minute (approximately 30 seconds), while automated RPA execution typically required about 4-5 minutes per case without staff input. No transcription-related errors were detected during the post-implementation observation period. Health guidance completion rates improved from 28.3% to 39.2% (chi-square test, P<0.01; R4 (FY2022) n=184, R5 (FY2023) n=536). Guidance duration distributions, calculated using the corrected method, shifted towards shorter durations: cases with >=200 days decreased from 30.5% to 20.9% and cases with >=240 days decreased from 13.6% to 8.9% (R4 n=59, R5 n=158). Conclusion: An integrated Access-RPA-Web workflow was associated with improvements in administrative efficiency and operational reliability in post-checkup health guidance while retaining human verification and exception handling. This pragmatic, non-AI-dependent approach may offer a useful model for process-level improvement in preventive care settings.

Background Socially Determined Diseases (SDDs) remain closely associated with health inequities and require coordinated responses from health systems, even in countries with universal healthcare coverage. In Brazil, the Brasil Saudavel Program (PBS) identified priority diseases and municipalities for elimination efforts, placing Municipal Health Plans (MHPs) at the centre of governance and policy implementation. Objective To analyse how and to what extent diseases prioritised by the PBS are incorporated into MHPs and translated into programmatic actions, considering municipal institutional capacity and service delivery organisation. Methods This descriptive documentary study analysed the MHPs of 175 municipalities prioritised by the PBS for the 2022-2025 planning cycle. Structured assessment instruments were developed based on the Programs National Guidelines to evaluate planning attributes, alignment with national priorities, and the operationalisation of disease-specific actions. Descriptive analyses were performed using absolute and relative frequencies. Pearsons chi-square test was used to assess associations between key planning attributes and regional differences. Results Although SDD-related goals were included in most plans, only 29.7% (n = 52) presented fully defined disease-specific targets, and 25.7% (n = 45) provided complete epidemiological information for all priority diseases. Dedicated funding was identified in 11.4% (n = 20) of municipalities, while fully structured awareness campaigns were described in only 4.0% (n = 7). Municipalities that incorporated epidemiological information into their plans were significantly more likely to describe structured prevention and control programmes than those without such information (76.7% versus 30.4%; {chi}2 = 29.8; p < 0.001). Regional differences were observed regarding the provision of disease-specific funding ({chi}2 = 12.0; p = 0.018), although planning profiles remained broadly similar across regions. Conclusions SDDs prioritised by the PBS are widely incorporated into MHPs at a declaratory level; however, their translation into structured programmatic actions remains limited. Weaknesses in financing, epidemiological intelligence, and operational planning constrain the implementation of national priorities. Strengthening municipal institutional capacity is essential to improve the operationalisation of health policies aimed at diseases shaped by social inequalities.

Background Recent research has documented poor reproductive health among women and people assigned female in England. Access to reproductive health services is hindered by an opaque and fragmented system. Methods We conducted the 2023 Reproductive Health Survey for England, a non-probability online survey, in September and October 2023 (N = 59,332). In this analysis, we examined access to reproductive health services across three domains: heavy menstrual bleeding and severe pain, gynaecological symptoms and conditions and menopause-related symptoms. Weighting the sample to match the 2021 Census age distribution, we assessed differences by ethnic group, subjective financial situation, educational attainment and region across the domains using logistic regression analysis and controlling for age. Results Respondents reported low access to reproductive health services overall, including 34.8% (8,644/24,952) of those with heavy bleeding or severe period pain, 44.7% (6,709/15,569) with menopausal symptoms and 55.3% (21,010/37,411) with gynaecological symptoms or conditions. When controlling for age, there were decreased odds of service access for menopause-related symptoms and increased odds of service access for gynaecological symptoms or conditions among Black ethnic groups. Respondents with a higher education degree had greater access to services for heavy bleeding or severe pain and gynaecological symptoms and conditions. Compared to London, all other regions had lower access to services for heavy bleeding or severe pain. Satisfaction ranged from 16.5% (741/4,666) for polycystic ovary syndrome services to 80.2% (166/207) for reproductive cancer services. Conclusions Access to reproductive health services is poor in England and requires urgent action to address barriers to access.

Background Women-centred maternity care is a rights issue that determines the use of services. Such care ensures responsiveness to womens needs which is enacted through shared decision-making, review and response. In the West Region of Cameroon, informed consent (IC) and Debriefing for caesarean section (c-section) have been shown to be suboptimal or absent. This paper describes the participatory design of a quality-improvement hospital-based intervention. Methods From February to May 2025, we conducted a co-design process with three groups of stakeholders: 59 post c-section women and community representatives, 78 frontline c-section providers, and 29 directors of public and private hospitals. We followed four phases: planning, conducting, evaluating, and reporting. The conduct phase comprised five all-day workshops with post c-section women and community representatives, followed by five all-day workshops with the c-section providers. Finally, we held an 11th workshop with the hospital directors to scrutinize suggested interventions, evaluate their feasibility, and establish a consensus on their components. We described the intervention using the TIDieR (Template for Intervention Description and Replication) checklist. We documented the co-design process, using open-ended narratives to delineate interventions, and carried out real-time synthesis on visual aids (whiteboards and flipcharts). Intervention feasibility was quantified using a structured ad hoc matrix, while insights on facilitators and barriers were captured through qualitative free-text entries. We coupled data collection with constant comparison and triangulation through contemporaneous field notes, photographic documentation, and thematic mapping of stakeholders perceptions and interactive dynamics. Results Participants perspectives on the co-design were positive, and their motivation were very high although less than 50% reported previous involvement in co-design processes. More than 80% of participants found rated the co-design process as either good or very good. The final intervention comprised four components: (i) an in-service training; (ii) a standard operating procedure including a harmonised consent form and debriefing checklist; (ii) systematic supportive supervision, monitoring & evaluation; and (iv) a routine clinical audit. Each group of stakeholders upheld specific dimensions of the consent and debrief intervention. Post c-section women and community members emphasized emotional support, written discharge advice after debriefing, and zero tolerance of suboptimal consent and debriefing practices. Frontline c-section providers insisted on robust documentation for medico-legal protection. Hospitals Directors emphasized capacity-building and cultural friendliness. All the groups supported womans autonomous decision making. The intervention feasibility was rated high or very high by hospital directors except for the financial, infrastructural and technical domains. Conclusion This co-design process yielded a context-specific, multi-component intervention that was well accepted and deemed feasible across stakeholders. It provides a methodological approach to strengthening informed consent and debriefing as core elements of women-centred, accountable maternity care, and warrants implementation.

Background Personal choice in health behaviours raises difficult questions: when individuals freely decline effective preventive interventions, who should bear the resulting costs? This tension is acute in insurance systems where resources are pooled, yet all health systems pursuing Universal Health Coverage must navigate the boundary between collective solidarity and individual accountability. During the COVID-19 pandemic, vaccines were freely available to members of South African private medical schemes, creating conditions in which non-vaccination could plausibly be examined as a matter of personal choice rather than constrained access. This study applied a luck egalitarian framework to assess whether non-vaccination reflected personal choice or constrained circumstance, and to quantify resulting excess costs. Methods A contextual review assessed barriers to vaccination. Using de-identified claims data for approximately 550,000 individuals (March 2020 to December 2022), logistic regression estimated each person's predicted probability of vaccination based on demographic and clinical factors, with observed and predicted rates compared across strata to infer choice versus circumstance. A zero-inflated negative binomial model estimated predicted expenditure among vaccinated members, applied to the full population to simulate universal vaccination. Excess costs were calculated across predicted probability strata. Results Predicted and observed vaccination rates were closely aligned, suggesting that residual non-vaccination in higher-probability groups reflected personal choice rather than constrained circumstance. Observed costs exceeded predicted costs by 22% under universal vaccination, concentrated among older adults and those with comorbidities. Among those with a 60 to 70% predicted probability of vaccination, observed costs exceeded predicted costs by 127.6%. In contrast, among younger, low-risk members, predicted costs slightly exceeded observed expenditure, as vaccination costs were not offset by reduced hospitalisation. Conclusion Risk pooling depends on solidarity, yet non-vaccination due to personal choice shifts costs in ways that challenge fairness in community-rated insurance. These findings highlight the need for transparent deliberation about when personal responsibility should inform equitable health financing design.