Evidence map›Paper›PMID 36482044›Full record

ArticleHealth economics review2022

A systematic review and meta-analysis of unmet needs for healthcare and long-term care among older people.

Md Mizanur Rahman, Megumi Rosenberg, Gabriela Flores, Nadia Parsell, Shamima Akter, Md Ashraful Alam, Md Mahfuzur Rahman, Tessa Edejer

Open access · goldAbstract read
In one paragraph

Article in Health economics review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
22.0field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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5 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 3 countries.

Md Mizanur Rahman *Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan. mizanurrub78@gmail.com.ORCID http://orcid.org/0000-0001-9190-4707
Megumi Rosenberg *Centre for Health Development, World Health Organization, Kobe, Japan.
Gabriela FloresDepartment of Health Systems Governance and Financing, World Health Organization, Geneva, Switzerland.
Nadia ParsellHitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.
Shamima AkterHitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.
Md Ashraful AlamDepartment of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, Japan.
Md Mahfuzur RahmanGlobal Public Health Research Foundation, Dhaka, Bangladesh.
Tessa EdejerDepartment of Health Systems Governance and Financing, World Health Organization, Geneva, Switzerland.
Hitotsubashi University · JPWorld Health Organization · CHUniversity of Tokyo Hospital · JP

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe absolute number of older individuals needing medical care and long-term care (LTC) is increasing globally due to the growing ageing population. However, it is uncertain who and what proportion of the population has access to care. Therefore, a systematic review and meta-analysis of the prevalence and reasons for unmet needs for healthcare and long-term care among older people, 65 years old and above, across countries was conducted.

methodsAn information specialist performed a comprehensive search of four major databases (PubMed, EMBASE, Web of Science, and CINAHL) from inception to June 2020 without restrictions on language and date. We did random-effects meta-analysis to obtain pooled prevalence. We stratified the meta-analysis by reasons for unmet need categorized by barrier dimension (availability, accessibility, affordability, and acceptability), survey year, geographic location, and socio-demographic characteristics of the older individual.

resultsAfter screening 3912 articles, we included 101 studies published between 1996 and 2020. Of the 101 studies, 87 studies reported unmet healthcare needs and 14 studies reported unmet LTC needs. Overall, 10.4% (95% CI, 7.3-13.9) of the older population had unmet needs for healthcare. The common reasons for unmet healthcare needs were cost of treatment, lack of health facilities, lack of/conflicting time, health problem not viewed as serious, and mistrust/fear of provider. A significant variation in pooled prevalence of unmet healthcare needs due to cost was found by gender (male [10.9, 95% CI, 8.9-13.1] vs female [14.4, 95% CI, 11.8-17.3]), educational level (primary or less [13.3, 95% CI, 9.6-17.6] vs higher [7.5, 95% CI, 5.9-9.3]), self-reported health (poor [23.2, 95% CI, 18.8-27.8] vs good [4.4, 95% CI, 3.4-5.5]), insurance status (insured [9.0, 95% CI, 7.5-10.6] vs uninsured [27.7, 95% CI, 24.0-31.5]), and economic status of population (poorest [28.2, 95% CI, 14.1-44.9] vs richest [7.1, 95% CI, 3.8-11.3]). One in four (25.1, 95% CI, 17.1-34.2) older people had unmet needs in LTC. Rural residents had a higher prevalence of unmet needs in LTC compared to their urban counterparts.

conclusionWith the population ageing globally, it is necessary to improve access to health care and LTC for older people. Ensuring affordability of health services, reducing geographical barriers, and improving acceptability, will be critical in reducing unmet need. Unmet needs for healthcare were concentrated in population with no education, poor economic group, outpatient health facility user, and uninsured group. With education and economic-based inequalities at the forefront, all countries should focus on improving access to health services by reducing the burden related to healthcare costs.

Indexed as

Barrier dimensionLong-term careMd. Mizanur Rahman and Megumi Rosenberg are jointly first author.meta-analysisOlder populationSystematic reviewUnmet need

Identifiers

PMID36482044
PMCPMC9733388
OpenAlexW4311206008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.