TB notification rates across parliamentary constituencies in India: a step towards data-driven political engagement
DC Field | Value | Language |
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dc.contributor.author | Pardeshi, Geeta | - |
dc.contributor.author | Wang, Weiyu | - |
dc.contributor.author | Kim, Julie | - |
dc.contributor.author | Blossom, Jeffrey | - |
dc.contributor.author | Kim, Rockli | - |
dc.contributor.author | Subramanian, S. V. | - |
dc.date.accessioned | 2021-11-17T14:40:27Z | - |
dc.date.available | 2021-11-17T14:40:27Z | - |
dc.date.created | 2021-08-30 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.issn | 1360-2276 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/127763 | - |
dc.description.abstract | Objective National averages obscure geographic variation in program performance. We determined Parliamentary Constituency (PC)-wise estimates of TB notification to guide political engagement. Methods We extracted district-level TB notification data from the 2018 annual TB report. We derived PC-level estimates by building a 'cross-walk' between districts and PCs using boundary shapefiles. We described the spatial distribution of the PC-wise estimates of Total Notification Rate and percentage of Private Sector Notification. Results The median PC-wise Total Notification Rate was 126.24/100 000 (IQR: 94.86/100 000, 162.22/100 000). The median PC-wise Percentage Private Sector Notification was 18.03% (IQR: 9.56%, 26.84%). Only 16 (2.94%) PCs met the target of 50% private sector notification. Most of high notification rates in PCs were driven by high notification in public sector. There was geographic - both interstate and within state inter-PC - variation in the estimates of these indicators. The study identified some geographic patterns of notification - high positive outlier PCs with adjoining PCs in lower deciles of notification rates, intra-state differences in PC performance, and similarities in notification rates of adjoining PCs in different states. Conclusion In addition to regional inequality, the study identified geospatial patterns that can aid in the formulation of suitable interventions. These include decongestion of overburdened facilities by strengthening poorly performing units. The PCs with a high percentage Private Sector Notification can act as role models for neighbouring PCs to improve private sector engagement. MPs can play a crucial role in mobilising additional resources, creating awareness, and establishing inter-PC and inter-state collaboration to improve TB program performance. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | TUBERCULOSIS CARE | - |
dc.subject | LESSONS | - |
dc.title | TB notification rates across parliamentary constituencies in India: a step towards data-driven political engagement | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Rockli | - |
dc.identifier.doi | 10.1111/tmi.13574 | - |
dc.identifier.scopusid | 2-s2.0-85104361979 | - |
dc.identifier.wosid | 000646701000001 | - |
dc.identifier.bibliographicCitation | TROPICAL MEDICINE & INTERNATIONAL HEALTH, v.26, no.7, pp.730 - 742 | - |
dc.relation.isPartOf | TROPICAL MEDICINE & INTERNATIONAL HEALTH | - |
dc.citation.title | TROPICAL MEDICINE & INTERNATIONAL HEALTH | - |
dc.citation.volume | 26 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 730 | - |
dc.citation.endPage | 742 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
dc.relation.journalResearchArea | Tropical Medicine | - |
dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
dc.relation.journalWebOfScienceCategory | Tropical Medicine | - |
dc.subject.keywordPlus | TUBERCULOSIS CARE | - |
dc.subject.keywordPlus | LESSONS | - |
dc.subject.keywordAuthor | political commitment | - |
dc.subject.keywordAuthor | regional variation | - |
dc.subject.keywordAuthor | TB elimination | - |
dc.subject.keywordAuthor | Geographic Information System (GIS) mapping | - |
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