BMC Health Services Research

Essential medicines are one of the cornerstones of financial protection and health equity. The REMEDIAR Program is an initiative of the Argentine Ministry of Health aimed at ensuring free access to essential medicines for the uninsured at the point of care in primary healthcare centers (PHC). This study analyzes the financing, procurement, and distribution of this program over two decades (2002 to 2024). It evaluates how the program's capacity to navigate economic and political challenges ensured an uninterrupted supply of essential drugs at the primary healthcare level in a federal country where health services are devolved to provinces. We adopted a mixed-methods approach to examine the duality between international concessional loans and domestic treasury funding. Findings reveal that while international financing enhanced predictability and efficiency, reducing procurement timelines from 458 to 235 days, it also constrained domestic planning through external conditionalities. Conversely, while national centralized procurement achieved superior price efficiency and lower dispersion, it faced rigidities in adapting to local needs. Territorial distribution analysis confirms that REMEDIAR reduced access barriers for vulnerable households without formal insurance. However, the program entered a stabilization phase, failing to consolidate robust coordination with subnational policies, becoming entrenched in its own operational logic. The study concludes that program effectiveness depends not only on resource volume but on management quality. To guarantee long-term sustainability, transition to national financing requires profound institutional redesign. This must integrate operational capacities with federal coordination and domestic regulations, ensuring that the primary healthcare supply chain remains resilient to macroeconomic volatility and political shifts, aligned with sub-national strategies.

Introduction. Practice coaching is increasingly used to strengthen quality improvement (QI) capacity in primary healthcare (PHC) systems in low and middle income countries (LMICs), yet the causal pathways through which it shifts provider behaviour, and the systemic conditions that enable or constrain those pathways, remain under theorised. Using a theory based qualitative evaluation, we examined how and why a practice coaching intervention influenced QI in cervical cancer screening (CCS) and antenatal care (ANC) within Honduras decentralised PHC system during the third phase of the Salud Mesoamerica Initiative (SMI). Methods. We conducted a within case explanatory case study. A programme theory was reconstructed before data collection and iteratively refined against evidence. Data comprised semi structured interviews with 11 midlevel managers, 6 PHC team medical leads, and 2 regional managers, complemented by direct observation and document review. We applied combined deductive and inductive coding, thematic analysis, and pattern matching, and reporting per COREQ. Results. We identified four causal patterns that refined the initial programme theory. Three were activated pathways: (1) novel professional identity among participating managers; (2) collective efficacy and data driven learning, sustained through verifiable progress on observable indicators, strong for CCS but null for ANC, where outcomes were less attributable to teams actions; and (3) relational coordination, psychological safety, and trust, which provided the interpersonal basis for the first two. A fourth, unanticipated pattern showed structural misalignment between coaching enabling, learning based logic and the directive, punitive logic of Honduras performance based contracting environment, confining gains to localised enabling bubbles. Conclusion. Coaching can activate meaningful QI pathways in LMIC primary care, but sustained, equitable impact requires deliberate alignment between coaching learning oriented principles and the institutional performance management architecture, and matching of coaching investment to clinical processes with observable, attributable outcomes.

Abstract Background: Emergency Department (ED) populations are a high-risk group that are opportune for interventions targeting NCDs and NCD risk factors, like tobacco use. Mobile health (mHealth)interventions such as Text2Quit, a novel text message-based mHealth tool addressing tobacco cessation in the US, have demonstrated effectiveness for tobacco cessation and for ED-based mHealth interventions in High Income Countries (HIC). To successfully adapt and implement such mHealth interventions in limited resource settings like African EDs, it is essential to examine the implementation climate and engage key stakeholders. These implementers provide invaluable insight to understand healthcare system level factors that affect adoption, implementation and maintenance of the interventions. Methods: We conducted 12 semi-structured key informant interviews (KIIs) with ED administrators and staff including 2 departmental heads, 5 medical doctors, 3 nurses, and 2 clinical officers at a national referral hospital in Kenya. This was guided by RE-AIM framework indicators of Adoption, Implementation, and Maintenance (eg feasibility of intervention integration, and suggestions to improve implementation). Interviews were conducted in English, recorded, professionally transcribed and translated, and analyzed using a constant comparative analysis approach, according to grounded theory principles. Findings: Key informants were positive about the adoption of them Health intervention in Kenyan EDs and across different health facility levels in Kenya due to the perceived need for the program, facility and staff receptiveness and existing healthcare infrastructure to leverage. Recommended implementation strategies included follow-up mechanisms for program participants, inclusion of all healthcare cadres in implementation and increased sensitization and the use of champions. Barriers to Implementation in the ED included competing clinical priorities with emergency cases, limited staffing and shame associated with smoking. Conclusion: Implementing a mobile health tobacco cessation program like Text2Quit is feasible and acceptable in Kenyan EDs when supported by targeted strategies.

Background: Health-related social needs (HRSNs), particularly housing instability, are significant drivers of poor health outcomes among Medicaid populations. New York State's Social Care Networks (SCNs) aim to systematically connect members to housing services through coordinated referral systems. However, limited systematic analysis of referral patterns hinders quality improvement efforts. We analyzed housing referral outcomes and workflows to identify barriers to successful service connections. Methods: We conducted a mixed-methods quality improvement study at Public Health Solutions' WholeYouNYC SCN Coordination Center. Quantitative analysis examined 4,258 housing referrals submitted between June 2025 and January 2026, extracted from the Unite Us platform via Power BI dashboard. We calculated acceptance rates, analyzed time metrics, and examined outcomes by receiving organization. Qualitative data were collected through structured consultations with 7 staff members (5 navigators, 2 supervisors) and review of internal workflow documentation. Process mapping identified workflow bottlenecks. Results: Of 4,258 housing referrals, only 45% (n=1,936) were accepted by receiving organizations, while 19% (n=815) were rejected and 32% (n=1,382) remained awaiting response with no recorded action. Average time to acceptance was 8 days for accepted referrals. Acceptance rates were consistent across top receiving organizations (44-46%), suggesting systemic rather than partner-specific barriers. Analysis of unresolved referrals revealed prolonged cases, with the longest pending 271 days. Three critical workflow bottlenecks were identified: CBO response delays, missing housing documentation, and challenges with client engagement. Conclusions: Low housing connection rates (45%) and prolonged unresolved referrals (up to 271 days) indicate systemic barriers requiring interventions at multiple levels. Recommendations include establishing CBO response time benchmarks, implementing automated follow-up protocols, standardizing documentation requirements, and enhancing real-time data monitoring. These findings provide an evidence-based framework for quality improvement in social care coordination programs.

Objectives: Emergency department (ED) overcrowding is a persistent issue in European healthcare systems. A previous randomized controlled trial (RCT) concerning out of hours care in Antwerp (2019) demonstrated that a nurse-led triage tool, extending the Manchester Triage System (eMTS), could safely redirect low-acuity ED patients to a co-located General Practitioner Cooperative (GPC). This study reports a six-year follow-up assessing long-term efficiency, safety, and sustainability of this intervention. Methods: We performed a retrospective observational analysis of routine clinical data. Patients triaged at the ED and referred to the GPC were identified through electronic health records. Efficiency outcomes included the proportion of ED patients managed at the GPC, the proportion of GPC patients originating from the ED and their clinical characteristics. To assess safety, we analysed rates and characteristics of patients referred back from the GPC to the ED. A detailed case review was conducted for all back-referred patients. Results: Of the 110,941 triaged patients, 6,722 (6.1%) were managed at the GPC, accounting for 11% of all GPC consultations. Diverted patients typically presented with digestive, respiratory, and musculoskeletal complaints and had a clinical urgency which was mostly comparable to the overall GPC population. Only 3% of the patients diverted to the GPC were referred back to the ED, versus 5% of other GPC patients. Most back-referrals (83%) were managed on an outpatient basis; four major and 18 minor triage issues were identified, without evidence of increased morbidity. Conclusions: Six years post-trial, the nurse-led eMTS triage tool remains integrated into routine practice, with increasing efficiency and remaining safety without dedicated research resources nor a post implementation plan. Sustained adoption highlights its clinical feasibility and long-term safety. Future trials on triage and primary care should embed explicit post-trial implementation strategies to promote continuity and scalability of successful healthcare interventions. ClinicalTrials.gov Identifier: NCT03793972

Background: Out-of-pocket healthcare expenditure (OOPHE) remains a major challenge to accessing adequate medical service, often discouraging individuals from seeking necessary medical services. The extent of OOPHE in Jigjiga city is unknown. This study aimed to assess the magnitude and associated factors of OOPHE among outpatients visiting public hospitals in Jigjiga city, Somali region, Eastern Ethiopia. Methods: A hospital-based cross-sectional study was conducted among 406 outpatients selected through systematic random sampling from three public hospitals in Jigjiga city. Data were collected through interviews-administered questionnaires and analysed by SPSS version 25.0. Binary and multivariable logistic regression analyses were performed to identify factors associated with OOPHE among outpatients (p < 0.05). Results: Overall, 89.5% of respondents incurred out-of-pocket healthcare payments at the point of service delivery. The mean OOPHE per outpatient was 485.6 {+/-} 349 birr ($3.12 {+/-} $2.24). Female [AOR = 3.38, 95% CI (1.54-7.42)], unmarried [AOR = 5.32, 95% CI (1.77-16.03)], and traveled [&ge;]5 km [AOR = 7.07, 95% CI (1.46-34.29)] and higher educational attainment (college and above) [AOR = 7.07, 95% CI (1.55-32.28)] were independently associated with higher odds of incurred OOPHE. Conclusion: The magnitude of out-of-pocket healthcare payments among outpatients was high. Sex, marital status, educational level, and distance to reach a public health facility were significant predictors of OOPHE. Policy action to reduce OOPHE in this setting should include strengthening and expanding the Community-Based Health Insurance scheme and promoting prepayment mechanisms, such as Social Health Insurance, for formal sector employees, specifically for government employees.

In an era in which population ageing, rising healthcare costs and growing global health challenges are pressing global issues, the main aim of our article is to analyze trends in preventive care expenditures from 2004 to 2023 in 22 European countries, examining whether specific health systems are associated with different time trends in preventive care expenditures over the considered time. Although there are few studies investigating this issue adopting the standard tripartite classification, to our knowledge, this is the first study to explore the topic using the latest classification of healthcare systems proposed by Bohm. We performed a time trend analysis using secondary data from 22 European OECD countries during a twenty-year period (2004-2023); in addition, a hierarchical semi-log polynomial mixed-effects regression analysis has been performed, including annual country-level % preventive expenditures in association with the three structural dimensions -- regulation, financing and provision -- according to Bohms classification as explanatory variables. Our results indicate that, in terms of compound annual rate, most countries exhibited an increase in % of preventive expenditures (between 0.2% and 3.7%), while seven countries denounced a decrease (between -6.3% and -0.2%) during the considered period. The regression analysis shows that the trend of % preventive expenditures did not differ in two of the three dimensions under study: financing and provision. In contrast, in countries with statal regulation, the curvilinear trend was more pronounced than in countries with statal regulation (b=0.0035; 95% CI= 0.0013, 0.0057). In conclusion, there is no correlation between the type of healthcare system and the share of expenditure allocated to prevention activities in the countries analysed; a resulting implication is that investment in prevention is not intrinsically determined by the organisational structure of the healthcare system, but responds to external factors. Key questionsO_ST_ABSWhat is already known on this topic?C_ST_ABSPreventive care represents a relatively small share of total health expenditure in most OECD countries, despite its recognized importance in addressing public health issues. Previous studies attempted to explore cross-country differences in preventive spending and the potential role of healthcare system organization, often using traditional classifications (e.g., Beveridge or Bismarck). However, evidence remains limited and no studies have examined long-term trends using current multidimensional classifications of healthcare systems. What does this study add?By analyzing trends in preventive care expenditures over a twenty-year period across 22 European OECD, our study showed trends in the share of spending on prevention were largely independent of the structural characteristics of healthcare systems. Among the analyzed dimensions, only the regulation showed a more pronounced curvilinear trend in countries with societal regulation. How this study might affect research, practice or policy?Since the findings suggest that investment in prevention may depend more on contextual factors such as political priorities and public health strategies rather than structural characteristics of healthcare systems, policymakers should therefore promote prevention through targeted policy commitment instead of relying on health system design alone.

Objectives People with mental health conditions experience increased rates of diagnostic errors and delays in acute treatment. While causes such as diagnostic overshadowing (misattribution of physical symptoms to mental health conditions) are well documented, less attention has been paid to the organisational and structural conditions that shape diagnostic work. This study examines how physical illness is diagnosed in patients with mental health conditions in emergency departments (EDs), with a focus on the structural conditions that enable or constrain safe diagnostic practice. Method We conducted a multi-site ethnography across three purposively selected EDs in England between April 2023 and April 2024, varying in size, population demographics, and local service configuration. Data were collected through 284 hours of non-participant observation and 20 semi-structured interviews with ED staff. Results Our analysis identified four recurring structural gaps that shaped the conditions under which physical health diagnosis took place for patients with mental health conditions: a design gap, whereby targets and physical layouts constrained diagnostic reasoning; a preparedness gap, reflecting the lack of structural support to allow staff to act on their existing knowledge and skills; a coordination gap, reflecting fragmented ownership and the challenges of joint assessment across mental and physical healthcare teams; and an expectation gap, whereby unmet need elsewhere in the system increased demand for ED services that were beyond its formal scope. These gaps made diagnostic errors and delay more likely for patients with mental health conditions seeking physical healthcare in the ED. Conclusions As new dedicated mental health EDs are introduced in England, there is an opportunity to avoid reproducing these structural gaps in new settings. Our study suggests that improving physical healthcare for patients with mental health conditions requires changes to how EDs are designed, resourced and supported, and how they connect with the wider health and care system. Keywords: mental health, diagnostic inequality, emergency departments

Introduction: Differentiated service delivery (DSD) models aim to reduce time healthcare providers spend with DSD clients, increasing time available for non-DSD clients. We measured nurses' time allocation and explored their experiences with DSD models in South Africa. Methods: We conducted time and motion observations and surveyed nurses at 24 public primary healthcare facilities across two SENTINEL study rounds (09/2022-07/2023 and 11/2023-07/2024). We report median time nurses spent by activity, model of care, and interaction type. Log binomial regression investigated factors associated with high direct nurse-client interaction (above median minutes) and extended work-days ([&ge;]9 hours), and estimated adjusted risk ratios (aRR). Survey questions were related to client care, additional time availability, and policy changes post DSD implementation, with key themes presented alongside illustrative quotes. Results: 176 nurses (88% female, median age 44) were observed for 344 working days; of these, 60 (34%) participated in the provider survey. Nurses spent a median of 293 minutes (53% of their work-day) on direct nurse-client interaction, 89 minutes (22%) on client-support or facility-related tasks, and the remainder on other activities including personal breaks. Time spent per client was similar across conventional care clients (11 [IQR: 8-15] minutes) but ranged between 9 (7-13) to 11 (8-15) minutes for DSD clients; number of direct nurse-client interactions did not differ meaningfully. Nurses at facilities with 2,000-3,999 total remaining on ART (TROA) (aRR 1.56, 95% CI: 1.02-2.37) and in urban areas (aRR 1.43, [1.08-1.89]) had more direct nurse-client interactions than those at facilities with <1,999 TROA and in rural areas, respectively. Nurses at facilities with 4,000+ TROA (aRR 2.22, [1.36-3.63]) and those observed in SENTINEL 3.0 (aRR 1.53, [1.13-2.07]) were more likely to work standard or longer workdays than those at lower TROA facilities (<1,999), those in SENTINEL 2.0 and urban areas. Nurses reported DSD models improved client care (90%), freed up time (60%), and changed clinic procedures and policies (60%). Conclusions: While DSD models did not significantly reduce direct nurse-client interaction time, nurses reported improved client care and gained additional time. DSD impact may vary by facility context. As DSD implementation expands, effective time reallocation may enhance facility performance and provider productivity.

OBJECTIVETo evaluate the return on investment (ROI) of a community-based Diabetes Self-Management Program (DSMP) enhanced with health-related social needs (HRSN) screening and referrals, implemented by the New York City (NYC) Department of Health and Mental Hygiene with three community-based organizations in highly-impacted, under-resourced neighborhoods. RESEARCH DESIGN AND METHODSA retrospective cost-benefit analysis from a public-sector payer perspective was conducted among 171 adults with type 2 diabetes who completed a six-week, peer-led DSMP delivered by community health workers (CHWs) in English, Spanish, and Korean during 2018-2019. A time-driven, activity-based costing model captured direct implementation costs, CHW workforce turnover, and administrative overhead. Monetized benefits included avoided diabetes-related complications, reductions in self-reported emergency department (ED) visits and hospitalizations, and quality-adjusted life year (QALY) gains from improved medication adherence. Univariate sensitivity analyses tested robustness under conservative assumptions. RESULTSTotal program costs were $179,224; monetized benefits totaled $1,824,213, yielding a net benefit of $1,644,989 and an ROI of 918%--approximately $10 returned per $1 invested. Excluding QALY gains, ROI remained 551%. Self-reported ED visits declined from 149 to 82 and hospitalizations from 93 to 24 in the six months following intervention. Over 80% of participants reported housing instability; 72% were Medicaid-covered and 16% uninsured. Sensitivity analyses confirmed a positive ROI under all conservative scenarios. CONCLUSIONSA CHW-led, community-based DSMP integrated with HRSN screening and referrals delivered substantial economic and public health value among adults facing housing instability and structural barriers to care. Findings support inclusion of DSMP as a covered benefit in Medicaid managed care, value-based payment arrangements, and housing access initiatives to advance equitable diabetes outcomes.

Background: Strong management capacity is essential for effective primary healthcare (PHC) service delivery and health system strengthening [1]. The AURUM Management Development Programme (MDP) was implemented to strengthen district and PHC leadership in the Western Cape province of South Africa. This study explored the contextual barriers and enabling conditions influencing the scalability of the programme within district health systems. Methods: This study employed a qualitative exploratory design to investigate barriers and enablers associated with scaling the MDP. In-depth interviews were conducted with purposively selected district health managers from three Western Cape districts. Interviews were audio-recorded, transcribed verbatim, and analysed thematically using NVivo 14. The study explored perceptions regarding programme adaptability, district readiness, implementation challenges, and enabling conditions for sustainability and scale-up. Results: Twenty participants (7 males and 13 females) from the Cape Winelands, Garden Route, and Cape Town Metro district health offices were interviewed. The MDP was viewed as relevant, practical, and adaptable to district health system contexts. District readiness for implementation emerged as an important determinant of perceived programme success. High readiness was characterised by clear team roles, strong management structures, decentralised decision-making, digital tool utilisation, ongoing mentorship systems, and prior exposure to PHC reforms such as the Ideal Clinic Realisation and Maintenance (ICRM) programme. Lower readiness was associated with staff shortages, operational pressures, limited leadership support, and partially functional health systems. Key enabling factors included integration with existing training structures, visible improvements in service delivery, mentorship support, and active engagement from district leadership. Conclusion: The MDP demonstrates potential for scalability within South Africas public health system. However, successful scale-up depends on district-level readiness, supportive leadership structures, integration into existing training and management systems, and sustained mentorship and implementation support.

Background: The rising prices of cancer medicines have intensified concerns about treatment access and health system sustainability particularly in low- and middle-income settings. Systematic facility level evidence on what medicines is actually available, at what prices, and at what cost to patients remains scarce, constraining evidence-based policy reform. Methods: Using adapted WHO/Health action international methodology, we conducted a cross-sectional survey of 52 cancer medicines across five therapeutic classes at five health facilities in Kisumu County, Kenya. Availability was measured as the proportion of facilities stocking each medicine. Affordability was assessed using days' wages required for the lowest-paid government worker to purchase standard treatment regimens, calculated per one chemotherapy cycle and maximum possible cycles. Results: Overall medicine availability was 48.1%, with marked inter-facility variation. Affordability analysis revealed severe financial barriers. The breast cancer AC regimen required 19.6-47.4 days' wages per full course; cervical cancer cisplatin, 19.8-49.2 days' wages; colorectal FOLFOX, 80.0-303.6 days' wages; and prostate docetaxel reached 437 days' wages at the highest-cost facility. The Social Health Authority's (SHA) KES 550,000 annual ceiling adequately covered cytotoxic regimens for common cancers at competitive prices but was exceeded by 24-116% for HER2-positive breast cancer requiring trastuzumab, with further strain for recurrent cervical and metastatic prostate cancers. Conclusions: Cancer medicines in Kisumu County are inconsistently available and highly variable in price resulting in inequitable access. We call for urgent retail price markup regulation, expanded pooled procurement through KEMSA, inclusion of priority targeted therapies on the Kenya Essential Medicines List, and SHA benefit packages redesigned around full-course regimen costs.

BackgroundHealth facility financial autonomy enables facilities to retain their revenue and use it to meet facility level needs and priorities to ensure responsiveness, accountability and efficiency. Public facilities need to develop public finance management (PFM) compliant budgets before spending this revenue. However, existing constraints such as lack of competencies and capacities among facility managers in developing budgets and limited political goodwill have influenced the existence of autonomy. This study presents a case study of Nakuru county which implemented an intervention to enhance the capacity of facility managers in developing, implementing and monitoring budgets. MethodsWe used a qualitative case study approach, with data collected through participant observations and document analysis. We utilized process evaluation in examining the motivations for the intervention, its implementation, early outcomes and the role of context in these outcomes. ResultsThe emergence of the intervention was guided by technical, legal and political motivations. The implementation was done in four phases. The first phase targeted the Level four (4) and five (5) facilities who had greater experience with revenue management and already had some level of autonomy, while the second phase built on the lessons learnt and targeted level three (3) and two (2) facilities. The last phase focused on institutionalization and continuous improvement of the standard budgeting process. Early findings showed improvements in budgeting practices in higher level facilities but minimal in level two (2) facilities with some contextual factors such as availability of management staff playing a role. ConclusionThe experience of Nakuru county in building budgeting capacity for facility financial autonomy demonstrates that sustained progress requires a multi-year, adaptive approach that combines training with standardized tools, institutional support, and routine performance monitoring. This journey offers valuable lessons for effective decentralization: tailor support by facility level, embed monitoring and accountability mechanisms, and foster strong leadership and partnerships to sustain gains and enable responsive, autonomous health service delivery.

IntroductionCurrent best practice is for primary care physicians (PCPs) to screen patients for problematic substance use at checkups. However, this practice is not routine, is done in an unstandardized manner, and contributes to the overburdening of PCPs. Screening practices also target current, potentially problematic use behaviors, thus limiting their capacity to help patients prevent problems before they start. Recent scientific advances in identifying people at high risk for substance use problems as a means of facilitating prevention efforts have not yet been integrated into medical practice. To address these issues, our research team developed a freestanding platform called the Comprehensive Addiction Risk Evaluation System (CARES). CARES provides personalized information about genetic and behavioral/environmental risk for substance use disorder (SUD) and connects individuals to resources based on their risk profile. The present study evaluated the potential for adoption and implementation of CARES within a health care system through qualitative interviews with key stakeholders. MethodsSemi-structured interviews were developed using the Consolidated Framework for Implementation Research (CFIR) and conducted with N=15 interviewees. Transcripts were analyzed using rapid qualitative analysis. ResultsKey themes included perceived need for new SUD screening tools, current SUD screening procedures and their pros/cons, openness to new ideas and clinical tools, fit of CARES with organizational goals and priorities, considerations for use of CARES with adolescent populations, anticipated patient response to CARES, barriers to implementation and uptake of CARES, changes required for implementation, and possibility for medical record integration. Interviewees generally expressed need for new screening tools and openness to using new tools, but expressed concern that existing provider burden, lack of SUD knowledge, and discomfort/stigma could stymie efforts to implement CARES. Conclusions.There is a clear need for a low-burden, easy-to-use tool for substance use screening. CARES appears to be an acceptable and feasible approach to fill this gap. These findings will be used to inform pilot implementation of CARES in a clinical care setting.

ObjectiveTo quantify waiting time in days for scheduled outpatient specialist consultations and to compare waiting time between standardized and non-standardized access pathways in Ecuadorian public hospitals. MethodsWe analyzed hospital-based survey data from Ecuadorian public hospitals, restricted to adults attending a scheduled outpatient specialist consultation (n = 4,436). Emergency care, unscheduled urgent visits, procedures, and follow-up visits were excluded by design. Access pathway was classified from participants self-report as standardized (institutional or system-based) or non-standardized (informal or non-system-based). Waiting time, defined as the number of days between obtaining the appointment and attending the consultation, was compared using the Mann-Whitney U test. Sociodemographic correlates of non-standardized access were examined using adjusted logistic regression, and adjusted median differences were estimated using quantile regression ({tau} = 0.50). Analyses were stratified into direct-access specialties and referral-required specialties. ResultsNon-standardized access was associated with shorter waiting times than standardized access. In adjusted median regression, non-standardized access was associated with a 3.2-day shorter median waiting time (95% CI -4.6 to -1.8). The difference was larger in direct-access specialties (-15.0 days, 95% CI -15.0 to -6.0) than in referral-required specialties (-5.0 days, 95% CI -5.0 to 0.0). ConclusionAmong patients who attended a scheduled outpatient specialist consultation in Ecuadorian public hospitals, non-standardized access was associated with shorter waiting times, particularly in direct-access specialties. These findings suggest that, within routine outpatient care, parallel access pathways may shape timeliness and warrant greater transparency in appointment allocation and referral coordination.

BackgroundAlthough virtual consultations are increasingly used in healthcare, mode affects attendance patterns remains limited, particularly across demographic groups. Within NHS secondary care, telephone consultations have been the most widely adopted form of telephone care; however, few studies have examined non-attendance (commonly termed Did Not Attend [DNA]) patterns specifically for telephone consultations and fewer still have explored how patient characteristics influence attendance differently across consultation modes. Understanding these patterns is essential for equitable service planning. ObjectiveTo compare non-attendance rates between telephone and in-person secondary care consultations among adults with type 2 diabetes (T2D), and to identify patient characteristics associated with non-attendance under each mode. MethodsData from 853,693 secondary care consultations (January 2020-August 2024) for 45,618 patients with T2D in Northwest London were analysed. Telephone consultations in this dataset consisted exclusively of telephone consultations; we therefore refer to them as telephone consultations throughout. Patient-level consultations were aggregated into patient-mode strata for regression modelling. Zero-inflated Negative Binomial regression assessed factors associated with missed consultation rates by mode (in-person or telephone). Propensity-score balance diagnostics (inverse probability of treatment weighting) were conducted to assess measured confounding by mode assignment. Specialty-stratified non-attendance rates were examined across 34 major specialties. ResultsIn-person consultations had higher unadjusted non-attendance rates than telephone consultations (9.1% vs 7.2%, p<0.001). This pattern was consistent for both first consultations (9.3% vs 6.2%, p<0.001) and follow-up consultations (9.0% vs 7.50%, p<0.001). For in-person consultations, higher non-attendance was associated with younger age (18-39: 12.2%, 40-59: 11.1% vs 60-79: 9.9%, p<0.001), Black or Black British ethnicity (18.9% vs White: 7.6%, p<0.001), and greater deprivation (most deprived IMD1: 10.3% vs least deprived IMD5: 7.0%, p<0.001). For telephone consultations, higher non-attendance was associated with male gender (7.3% vs female: 7.0%, p<0.01), younger age (18-39: 11.3%, 40-59: 9.5% vs 60-79: 6.1%, 80+: 5.6%, p<0.001), and greater socioeconomic deprivation (most deprived: 8.3% vs least deprived: 4.7%, p<0.001). Interaction analyses revealed that demographic disparities were amplified for telephone relative to in-person consultations. Specialty-stratified analysis showed that in-person non-attendance exceeded telephone non-attendance in the majority of high-volume specialties. ConclusionsIn-person consultations had higher non-attendance rates than telephone consultations. Various demographic factors influenced non-attendance rates, with younger age and greater socioeconomic deprivation consistently associated with non-attendance for both in-person and telephone consultations. These findings suggest that a personalised, equity-informed approach to consultation mode selection is needed. Findings apply to telephone consultations and may not generalise to video-based modalities.

Background: Adults with severe mental health conditions (often referred to as severe mental illness, SMI) experience 15 to 20 year mortality gap relative to the general population, with lung cancer a significant contributor. National cancer policy targets earlier diagnosis but does not explicitly address how pathways function for this group. Aims: This study aimed to describe lung cancer risk, prevalence, screening eligibility, referral activity and diagnostic pathway performance for adults with SMI in South East London (SEL), and to examine where along the pathway inequalities arise. Methods: Co-designed with experts with lived experience and voluntary sector, this exploratory mixed-methods service evaluation combined quantitative analysis of routinely collected data from the Quality Outcomes Framework (QOF), SMI Register and Cancer Waiting Times Record (April 2023-March 2024) with semi-structured qualitative interviews (n=11 clinical staff) and focus groups (n=6 adults with lived experience of SMI). Quantitative and qualitative data were analysed using descriptive statistics and framework-based thematic analysis respectively, and findings were integrated using a joint display approach, organised by the Consolidated Framework for Implementation Research (CFIR). Results: Lung cancer prevalence was approximately double among adults with SMI (0.17% vs 0.09% in the general population). Despite Urgent Suspected Cancer (USC) referral rates being more than twice as high in the SMI population (63 vs 28 per 100,000), fewer cancers were detected via planned general practice (GP) routes (11% vs 20%), the 28-day Faster Diagnosis Standard was not met for any SMI patient diagnosed with lung cancer during the study period; overall FDS performance was 76% in the SMI population compared with 84% in the general population; and appointment non-attendance was more than double that in the general population (6% vs 3%). Qualitative findings identified individual, service and system-level mechanisms, including stigma, diagnostic overshadowing, fragmented coordination, and rigid pathway protocols, that compound disadvantage across lung cancer pathway stages. Conclusions: Inequality in lung cancer outcomes for adults with SMI accumulates across the pathway rather than arising at a single point of failure. Addressing this requires proportionate adaptations within existing cancer pathways, alongside routine reporting of cancer outcomes stratified by SMI population. Keywords: severe mental health conditions, lung cancer, health inequalities, cancer screening, diagnostic pathway, mixed methods

Primary healthcare (PHC) managers are central to the functioning of South Africas healthcare system, yet many assume leadership roles without formal management training. To address this gap, the Aurum Institute developed the Management Development Programme (MDP), a structured leadership and management training intervention aimed at strengthening PHC management competencies. This study evaluated the impact of the MDP on leadership practices, organisational readiness for change, and workplace stress among PHC managers in the Western Cape Province. A non-randomised matched cluster trial was conducted across 20 PHC facilities. Intervention facilities were purposively selected based on participation in the MDP, while matched control facilities were randomly selected. Data were collected using structured and semi-structured surveys administered to facility managers and clinic staff. Leadership competency was assessed using the Leadership Practices Inventory (LPI), which measures five dimensions of exemplary leadership: Model the Way, Inspire a Shared Vision, Challenge the Process, Enable Others to Act, and Encourage the Heart. Organisational readiness for change was measured using Kotters 8-Step Framework, while workplace stress was assessed using a 13-item version of the Brief Job Stress Questionnaire focusing on Job Meaning, Environmental Quality, Autonomy, and Control. Intervention effects were estimated using generalised linear models adjusted for manager age, years in role, matched-pair fixed effects, and cluster-robust standard errors. Outcomes were reported as adjusted risk differences with 95% confidence intervals and two-sided p-values. A total of 20 facility managers (median age 51 years; IQR 42-55; 90% female) and 105 clinic staff members (median age 42 years; IQR 35-50) participated in the study. Managers in both intervention and control facilities reported consistently high self-rated leadership competency scores across all LPI domains, with no statistically significant differences between groups. Similarly, clinic staff rated managers highly across the standard LPI domains, and no significant differences were observed between intervention and control facilities. Despite the absence of significant differences in overall leadership competency scores, staff in intervention facilities reported significantly stronger relational and communication practices among managers compared with staff in control facilities (72.7% vs. 64.0%; adjusted risk difference 22.0%, 95% CI 6.1-37.8; p=.007). After adjustment for age and tenure imbalances, intervention facilities also demonstrated significantly higher scores for institutionalised capability and learning culture (adjusted risk difference 21.3%, 95% CI 0.6-42.0; p=.043). Managers who participated in the MDP further reported stronger perceptions of district support, including improved internal leadership and cultural readiness (adjusted risk difference 22.1%, 95% CI 14.0-30.3; p<.001) and greater district leadership and resource availability (adjusted risk difference 28.1%, 95% CI 15.6-40.6; p<.001). No statistically significant differences were observed in workplace stress across any domain. Although the MDP did not produce measurable short-term improvements in managers self-rated leadership competencies or standard LPI domains as assessed by staff, it was associated with important gains in relational leadership practices, organisational readiness for change, and perceived district support. These findings suggest that structured management training programmes may strengthen critical organisational and interpersonal foundations necessary for sustained performance improvement within PHC settings.

PurposeTo characterize maternal transport patterns in Iowa, a state with levels of maternal care and without formal perinatal regions, and assess whether transport decisions reflect efficient, risk-appropriate coordination. MethodsWe analyzed 2010-2023 Iowa birth records, which included 2,251 maternal transports between obstetric facilities across 106 unique routes. We characterized transport patterns and applied a community detection algorithm to identify "communities" of obstetric facilities that disproportionately transport among themselves. FindingsSuburban and rural counties have elevated transport rates compared to urban counties. 2,189 transports (97%) were from lower-to higher-level facilities. Among these, 2,037 (93%) were to Level III tertiary care centers. 567 transports (25.2%) bypassed a closer facility offering an equivalent or higher level of care than its destination facility. Health system affiliation was associated with bypassing transport, indicating potential organizational rather than purely geographic drivers of transport decisions. Three "communities" of obstetric facilities largely shaped by geographic proximity were identified. ConclusionsAlthough Iowa does not have formal perinatal regions, patterns of maternal transport are mostly in line with three de facto regions. Some potential inefficiencies were identified, such as obstetric facilities transporting to a farther facility when a closer facility offered the same level of care or higher. These findings may help identify opportunities to enhance care coordination among obstetric facilities, optimize maternal transport networks, and improve regionalization of maternal care.

BackgroundKenyas facility autonomy reforms are intended to improve health system equity, efficiency, and responsiveness to community needs by shifting decision-making to the frontline. This study evaluates the implementation process and experience of facility autonomy reforms in Kenya post devolution of health services. MethodsWe conducted a concurrent mixed methods study of counties (n=6) in Kenya, selected based on their implementation of facility financial autonomy reforms as of June 2023. For the quantitative aspect, we assessed 141 randomly selected public health facilities across all levels of service provision. We then did a descriptive analysis to measure the level and perceptions of autonomy. For the qualitative aspect, we reviewed documents and interviewed purposively selected stakeholders (n=71) involved with autonomy reforms at national, county, and facility levels, cutting across health, finance, legal, political and community actors. We analyzed the transcripts thematically using NVivo 12. ResultsThe emergence of the FIF reforms in Kenya was driven by the convergence of political, technical, and public needs. While counties have developed their own facility autonomy laws to fit local contexts, some provisions are not fully aligned with the national legislation. Some aspects of both the county specific and national laws are not implemented. These include allocation of matching funds from the exchequer and reimbursing facilities for expenses incurred from providing care to indigents and for unpaid bills. The implementation of autonomy also varies, with some aspects partially or not implemented. Autonomy reforms have contributed to improved decision-making, staff satisfaction, availability of essential medicines, and facility maintenance. However, challenges have emerged, including the failure of counties to provide matching funds, which disproportionately affects lower-level facilities that do not generate revenue. Additionally, the absence of waiver repayment mechanisms has led to inequities, and the risk of increased service costs threatens financial accessibility for marginalized populations. ConclusionFacility autonomy reforms support people-centered decision-making and aligns with PHC principles. While these reforms hold promise for improving service delivery and access, their success depends on complementary measures such as sustainable funding mechanisms and stronger protections for vulnerable populations.