Evidence map›Paper›PMID 36065914›Full record

ArticleCurrent Alzheimer research2022

Predictors of Healthcare Utilization Among Older Adults with Moderate to Severe Cognitive Limitations in Ghana: A Cross-Sectional Analysis of the WHO Study on Global Ageing and Adult Health (SAGE) Wave 1.

Baozhen Dai, Ebenezer Larnyo, Abigail Larnyo, Jonathan Aseye Nutakor, Edwina Naa Amerley Amarteifio, Yaw Frimpong, Stephen Addai-Dansoh

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In one paragraph

Article in Current Alzheimer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Baozhen DaiDepartment of Labor and Social Security, School of Public Health, Southeast University, Nanjing, Jiangsu Province 210009, China.
Ebenezer LarnyoDepartment of Health Policy and Management, School of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Abigail LarnyoSchool of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Jonathan Aseye NutakorDepartment of Health Policy and Management, School of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Edwina Naa Amerley AmarteifioDepartment of Health Policy and Management, School of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Yaw FrimpongDepartment of Health Policy and Management, School of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Stephen Addai-DansohDepartment of Health Policy and Management, School of Management, Jiangsu University, Zhenjiang, Jiangsu Province 212013, China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the number of older adults in Ghana keeps increasing, so does the prevalence of aging-related diseases and conditions that tend to lead to cognitive decline. However, knowledge on the predicting factors of healthcare utilization among older adults with cognitive limitations is still scarce.

objectiveThis study examines the predictive factors of healthcare-seeking behavior among older adults with moderate-to-severe cognitive limitations in Ghana.

methodsBased on Andersen's behavioral model of health service utilization, the study analyzed data from 3106 older adults with moderate to severe cognitive limitations in Ghana aged 50+ using Bivariate Probit Regression and the Heckman Selection Model.

resultsResults showed that individuals who were aged 75+, living in urban settlements, educated, higher income levels and parents who had some level of education, pension benefits, and both mandatory and voluntary health insurance were more likely to seek inpatient care. Enabling resources such as the national health insurance scheme and other types of medical insurance, household income, pension benefits, and predisposition factors like education influenced outpatient and inpatient healthcare consumption for older adults with moderate to severe cognitive limitations but had little influence on the choice of healthcare facility except for health insurance.

conclusionSince the healthcare-seeking behavior of older adults with moderate-to-severe cognitive limitations is driven by an amalgamation of several internal and external factors, there is a need for policy change to understand and cautiously incorporate these factors into the decision to improve equitable access to healthcare services for these individuals, as not all sizes fit all in providing quality care for them.

Indexed as

Delivery of Health CarePatient Acceptance of Health CareAgedCognitionCross-Sectional StudiesHumansNational Health ProgramsAndersen's behavioral modelcognitive declineGhanahealthcare seeking-behaviorHealthcare utilizationolder adults

Identifiers

PMID36065914
OpenAlexW4294718908

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.