Dataset Information

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

ABSTRACT:

Objectives

Annually, more than 30% of individuals with tuberculosis (TB) remain undiagnosed. We aimed to assess whether geographic accessibility measures can identify neighborhoods that would benefit from TB screening services targeted toward closing the diagnosis gap.

Methods

We used data from a community-based mobile TB screening program in Carabayllo district, Lima, Peru. We constructed four accessibility measures from the geographic center of neighborhoods to health facilities. We used logistic regression to assess the association between these measures and screening uptake in one's residential neighborhood versus elsewhere, with quasi-information criterion values to assess the association.

Results

We analyzed the screening locations for 25,000 Carabayllo residents from 49 neighborhoods. Pedestrian walk time was preferable to Euclidean distance or vehicular time in our models. For each additional 12 minutes walking time between the neighborhood and the health facility, the odds of residents using TB screening units located in their neighborhoods increased by 50% (95% CI: 26%-78%). Females had 9% (95% CI: 3%-16%) increased odds versus males of using a screening unit in their own neighborhood.

Conclusion

Placing mobile TB screening units in neighborhoods with longer pedestrian time to access health facilities could benefit individuals who face more acute access barriers to health care.

SUBMITTER: Jenkins HE

PROVIDER: S-EPMC9176313 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

Jenkins Helen E HE Ayuk Sally S Puma Daniela D Brooks Meredith B MB Millones Ana Karina AK Jimenez Judith J Lecca Leonid L Galea Jerome T JT Becerra Mercedes M Keshavjee Salmaan S Yuen Courtney M CM

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 20220422

<h4>Objectives</h4>Annually, more than 30% of individuals with tuberculosis (TB) remain undiagnosed. We aimed to assess whether geographic accessibility measures can identify neighborhoods that would benefit from TB screening services targeted toward closing the diagnosis gap.<h4>Methods</h4>We used data from a community-based mobile TB screening program in Carabayllo district, Lima, Peru. We constructed four accessibility measures from the geographic center of neighborhoods to health facilities ...[more]

PMID: 35470023

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Project description:BackgroundIn Ghana, limited evidence exists about the geographical accessibility to health facilities providing tuberculosis (TB) diagnostic services to facilitate early diagnosis and treatment. Therefore, we aimed to assess the geographic accessibility to public health facilities providing TB testing services at point-of-care (POC) in the Upper East Region (UER), Ghana.MethodsWe assembled detailed spatial data on all 10 health facilities providing TB testing services at POC, and landscape features influencing journeys. These data were used in a geospatial model to estimate actual distance and travel time from the residential areas of the population to health facilities providing TB testing services. Maps displaying the distance values were produced using ArcGIS Desktop v10.4. Spatial distribution of the health facilities was done using spatial autocorrelation (Global Moran's Index) run in ArcMap 10.4.1. We also applied remote sensing through satellite imagery analysis to map out residential areas and identified locations for targeted improvement in the UER.ResultsOf the 13 districts in the UER, 4 (31%) did not have any health facility providing TB testing services. In all, 10 public health facilities providing TB testing services at POC were available in the region representing an estimated population to health facility ratio of 125,000 people per facility. Majority (60%) of the health facilities providing TB testing services in the region were in districts with a total population greater than 100,000 people. Majority (62%) of the population resident in the region were located more than 10 km away from a health facility providing TB testing services. The mean distance ± standard deviation to the nearest public health facility providing TB testing services in UER was 33.2 km ± 13.5. Whilst the mean travel time using a motorized tricycle speed of 20 km/h to the nearest facility providing TB testing services in the UER was 99.6 min ± 41.6. The results of the satellite imagery analysis show that 51 additional health facilities providing TB testing services at POC are required to improve geographical accessibility. The results of the spatial autocorrelation analysis show that the spatial distribution of the health facilities was dispersed (z-score = - 2.3; p = 0.02).ConclusionThere is poor geographic accessibility to public health facilities providing TB testing services at POC in the UER of Ghana. Targeted improvement of rural PHC clinics in the UER to enable them provide TB testing services at POC is highly recommended.

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Project description:ObjectivesTo achieve universal health coverage, adequate geographic access to quality healthcare services is vital and should be characterized periodically to support planning. However, in Kenya, previous assessments of geographic accessibility have relied on public health facility lists only, assembled several years ago. Here, for the first time we assemble a geocoded list of public and private health facilities in 2021 and make use of this updated list to interrogate geographical accessibility to all health providers.MethodsExisting health provider lists in Kenya were accessed, merged, cleaned, harmonized, and assigned a unique geospatial location. The resultant master list was combined with road network, land use, topography, travel barriers and healthcare-seeking behavior within a geospatial framework to estimate travel time to the nearest (i) private, (ii) public, and (iii) both (public and private-PP) health facilities through a travel scenario involving walking, bicycling and motorized transport. The proportion of the population within 1 h and outside 2-h was computed at 300 × 300 spatial resolution and aggregated at subnational units used for decision-making. Areas with a high disease prevalence for common infections that were outside 1-h catchment (dual burden) were also identified to guide prioritization.ResultsThe combined database contained 13,579 health facilities, both in the public (55.5%) and private-for-profit sector (44.5%) in 2021. The private health facilities' distribution was skewed toward the urban counties. Nationally, average travel time to the nearest health facility was 130, 254, and 128 min while the population within 1-h was 89.4, 80.5, and 89.6% for the public, private and PP health facility, respectively. The population outside 2-h were 6% for public and PP and 11% for the private sector. Mean travel time across counties was heterogeneous, while the population within 1-h ranged between 38 and 100% in both the public sector and PP. Counties in northwest and southeast Kenya had a dual burden.ConclusionContinuous updating and geocoding of health facilities will facilitate an improved understanding of healthcare gaps for planning. Heterogeneities in geographical access continue to persist, with some areas having a dual burden and should be prioritized toward reducing health inequities and attaining universal health coverage.

Project description:BackgroundTuberculosis (TB) is the leading cause of death from a single infectious agent globally, killing about 1.5 million people annually, yet 3 million cases are missed every year. The World Health Organization recommends systematic screening of suspected active TB patients among those visiting the healthcare facilities. While many countries have scaled-up systematic screening of TB, there has been limited assessment of the extent of its integration into the health system. This study sought to explore factors that shape the integration of systematic screening of TB in outpatient departments of primary healthcare facilities in Kitwe district, Zambia.MethodsThis was a qualitative case study with health providers including district managers, TB focal point persons and laboratory personnel working in six purposively selected primary healthcare facilities. Data was collected through key informant (n = 8) and in-depth (n = 15) interviews. Data analysis was conducted using QDA Miner software and guided by Atun's Integration framework.ResultsThe facilitators to integration of systematic screening for TB into out patient departments of primary health facilities included the perceived high burden TB, compatibility of the systematic screening for TB program with healthcare workers training and working schedules, stakeholder knowledge of each others interest and values, regular performance management and integrated outreach of TB screening services. Constraining factors to integration of systematic screening for TB into outpatient departments included complexity of screening for TB in children, unbalanced incentivization mechanisms, ownership and legitimacy of the TB screening program, negative health worker attitudes, social cultural misconceptions of TB and societal stigma as well as the COVID-19 pandemic.ConclusionSystematic screening of TB is not fully integrated into the primary healthcare facilities in Zambia to capture all those suspected with active TB that make contact with the health system. Finding the missing TB cases will, therefore, require contextual adaptation of the systematic screening for TB program to local needs and capacities as well as strengthening the health system.

Dataset Information

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

Objectives

Methods

Results

Conclusion

Publications

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting.

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