Post Disbursement Coverage Appraisal

To align health benefit package design with post-disbursement, this framework pools payer, provider, and consumer records at the episode-of-care level, generating structured evidence for benefit package revision cycles. It unifies four elements into one architecture: episode of care as unit; payer, provider, and consumer as sources; population, service, and cost as pooled dimensions; and a combined record as output. Records are linked through three methods: direct linkage using shared identifiers between payer and provider; composite matching on visit date, facility, and service category where no identifier exists; and administrative-boundary matching where identifiers are unavailable. Each method draws on independent precedent; this framework proposes combining them into one three-party post-disbursement coverage record. The record establishes three fixed correspondences: population coverage to entitlement administration, service coverage to provider arrangements, and cost coverage to reimbursement. The same unit, sources, and dimensions read whatever content a tax-funded, social insurance, national insurance, or out-of-pocket-dominant system generates in its institutional form, requiring no new data collection beyond what the revision cycle already convenes. Linkage completeness is reported alongside the record, as both a baseline of current capacity and a target for future strengthening. The record enters the policy dialogue step as an add-on layer of data and evidence for the benefit package revision cycle that countries convene. Keywords: Universal health coverage; Health systems strengthening; Health governance; Health policy and practice; Health Benefits Package.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-06
DOI
https://doi.org/10.5281/zenodo.23180155
Primary Topic
Healthcare Systems and Reforms
Type
preprint
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Post Disbursement Coverage Appraisal

OMSAI THATI
Zenodo (CERN European Organization for Nuclear Research)
Healthcare Systems and Reforms
preprint

Post Disbursement Coverage Appraisal

OMSAI THATI
preprint en

Abstract

To align health benefit package design with post-disbursement, this framework pools payer, provider, and consumer records at the episode-of-care level, generating structured evidence for benefit package revision cycles. It unifies four elements into one architecture: episode of care as unit; payer, provider, and consumer as sources; population, service, and cost as pooled dimensions; and a combined record as output. Records are linked through three methods: direct linkage using shared identifiers between payer and provider; composite matching on visit date, facility, and service category where no identifier exists; and administrative-boundary matching where identifiers are unavailable. Each method draws on independent precedent; this framework proposes combining them into one three-party post-disbursement coverage record. The record establishes three fixed correspondences: population coverage to entitlement administration, service coverage to provider arrangements, and cost coverage to reimbursement. The same unit, sources, and dimensions read whatever content a tax-funded, social insurance, national insurance, or out-of-pocket-dominant system generates in its institutional form, requiring no new data collection beyond what the revision cycle already convenes. Linkage completeness is reported alongside the record, as both a baseline of current capacity and a target for future strengthening. The record enters the policy dialogue step as an add-on layer of data and evidence for the benefit package revision cycle that countries convene. Keywords: Universal health coverage; Health systems strengthening; Health governance; Health policy and practice; Health Benefits Package.

Zenodo (CERN European Organization for Nuclear Research)
Jawaharlal Nehru Technological University, Hyderabad (IN)
Healthcare Systems and Reforms
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Post Disbursement Coverage Appraisal — OMSAI THATI · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS