Total triage model in general practice: a systematic review of the opportunities and challenges.

BACKGROUND: Total triage (TT) has the potential to achieve more equitable access to primary care, to improve the overall quality of care, and enhance health outcomes. TT has gained increasing attention from the public, policymakers, and academics. AIM: To examine relevant scientific literature regarding the implementation of TT, the reported opportunities and challenges for patients and staff, and implications for practice. METHOD: Medline, Embase, CINAHL, and Scopus were searched for articles and grey literature between 2013 and February 2023. Included documents described the implementation of TT during in-hours general practice and provided perspectives from patients/staff. Patients and stakeholders were involved throughout each stage of the review process. Findings were synthesised using a framework approach. RESULTS: In total, 23 documents were included at full-text screening. Analysis highlights a range of TT approaches, sometimes conflating remote and TT systems. TT was seen to both increase and reduce workload. Consistently, patient and staff views worsened with TT use. TT can increase barriers to care access with potential to exacerbate inverse care laws across the UK. Critical knowledge gaps included patient co-production in TT systems and the role of reception teams to adapt systems to meet patients' needs. CONCLUSION: TT can influence patient access, safety, and equity. The approach may also generate profoundly different working styles for general practice. This review adds to current debates surrounding patient access and TT, and consequences for staff/patients. The findings can be used to aid practices when navigating the new GP contract and the implementation of new TT approaches.

Estimating vaccine coverage in conflict settings using geospatial methods: a case study in Borno state, Nigeria.

Reliable estimates of subnational vaccination coverage are critical to track progress towards global immunisation targets and ensure equitable health outcomes for all children. However, conflict can limit the reliability of coverage estimates from traditional household-based surveys due to an inability to sample in unsafe and insecure areas and increased uncertainty in underlying population estimates. In these situations, model-based geostatistical (MBG) approaches offer alternative coverage estimates for administrative units affected by conflict. We estimated first- and third-dose diphtheria-tetanus-pertussis vaccine coverage in Borno state, Nigeria, using a spatiotemporal MBG modelling approach, then compared these to estimates from recent conflict-affected, household-based surveys. We compared sampling cluster locations from recent household-based surveys to geolocated data on conflict locations and modelled spatial coverage estimates, while also investigating the importance of reliable population estimates when assessing coverage in conflict settings. These results demonstrate that geospatially-modelled coverage estimates can be a valuable additional tool to understand coverage in locations where conflict prevents representative sampling.

Assessing Geographic Overlap between Zero-Dose Diphtheria-Tetanus-Pertussis Vaccination Prevalence and Other Health Indicators.

The integration of immunization with other essential health services is among the strategic priorities of the Immunization Agenda 2030 and has the potential to improve the effectiveness, efficiency, and equity of health service delivery. This study aims to evaluate the degree of spatial overlap between the prevalence of children who have never received a dose of the diphtheria-tetanus-pertussis-containing vaccine (no-DTP) and other health-related indicators, to provide insight into the potential for joint geographic targeting of integrated service delivery efforts. Using geospatially modeled estimates of vaccine coverage and comparator indicators, we develop a framework to delineate and compare areas of high overlap across indicators, both within and between countries, and based upon both counts and prevalence. We derive summary metrics of spatial overlap to facilitate comparison between countries and indicators and over time. As an example, we apply this suite of analyses to five countries-Nigeria, Democratic Republic of the Congo (DRC), Indonesia, Ethiopia, and Angola-and five comparator indicators-children with stunting, under-5 mortality, children missing doses of oral rehydration therapy, prevalence of lymphatic filariasis, and insecticide-treated bed net coverage. Our results demonstrate substantial heterogeneity in the geographic overlap both within and between countries. These results provide a framework to assess the potential for joint geographic targeting of interventions, supporting efforts to ensure that all people, regardless of location, can benefit from vaccines and other essential health services.