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Record W4385186949 · doi:10.1017/s1463423623000385

Barriers to health care access and utilization among aged indigents under the Livelihood Empowerment Against Poverty Programme (LEAP): the perspective of users and service providers in north-western Ghana

2023· article· en· W4385186949 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePrimary Health Care Research & Development · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsBusinessPovertyMillennium Development GoalsLivelihoodEconomic growthEmpowermentHealth carePopulationMedicineSocioeconomicsEnvironmental healthGeographyAgricultureEconomics

Abstract

fetched live from OpenAlex

AIM: This article draws on the poverty and access to health care framework to explore the barriers to access and utilization of primary health care among aged indigents under the Livelihood Empowerment Against Poverty Programme (LEAP) in Ghana. BACKGROUND: Although many developing countries have made progress in extending primary health care to their populations following the Alma-Ata Declaration of 1978, the establishment of the Millennium Development Goals, and the Sustainable Development Goals (SDGs), barriers remain pervasive, particularly among vulnerable population groups. Previous studies have hardly paid in-depth attention to this important indicator for measuring progress toward achieving SDG 3. METHODOLOGY: To this end, we conducted a case study of access to health care services and utilization among aged indigents enrolled on the LEAP programme in the Daffiama Bussie Issa District of the Upper West. We collected and analyzed qualitative data from indigents aged 65 years and above, health care providers, and staff of the LEAP and the National Health Insurance Scheme (NHIS). FINDINGS: Our analysis found geographic inaccessibility of health care, high costs of drugs and related services, exclusion of essential services from NHIS benefits package, and irregular transfer of cash to negatively influence access and utilization of health care among aged LEAP beneficiaries in the district. In addition to the need to strengthen the economy, provide health infrastructure and human resources for health in rural areas, the government needs to review the beneficiaries' bimonthly stipends to reflect the daily minimum wage, eliminate the delay in payments, and review the benefits package of the NHIS to include essential services and medical devices commonly used by aged people. Yet implementing these recommendations has affordability implications that require innovation to mobilize additional resources and create the desired fiscal space and institutions that can sustainably implement universal coverage programmes such as the LEAP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.391
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it