Evidence map›Paper›PMID 36717138›Full record

ArticleBMJ open2023

Disability types, determinants and healthcare utilisation amongst Afghan adults: a secondary analysis of the Model Disability Survey of Afghanistan.

Khalidha Nasiri, Nadia Akseer, Hana Tasic, Hadia Rafiqzad, Tabasum Akseer

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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, 2 citations in OpenAlex.

  1. Article
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

5 authors at 4 institutions in 2 countries.

Khalidha NasiriSchulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.ORCID 0000-0003-0753-1085
Nadia AkseerModern Scientist Global, St. Catharines, Ontario, Canada nakseer1@jhu.edu.ORCID 0000-0002-3802-7298
Hana TasicModern Scientist Global, St. Catharines, Ontario, Canada.
Hadia RafiqzadDepartment of Psychology, University of Toronto Scarborough, Toronto, Ontario, Canada.
Tabasum AkseerAsia Foundation, St Catharines, Ontario, Canada.
Canadian Sleep Society · CAJohns Hopkins University · USUniversity of Toronto · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe needs of people with disability in Afghanistan are not well understood. We describe the characteristics, healthcare utilisation patterns, and experience of care among Afghan adults with moderate or severe disability (MSD) by disability type.

designWe mapped 47 questions related to functional disability in the cross-sectional Model Disability Survey of Afghanistan (MDSA) 2019 into 7 disability domains based on the WHO Disability Assessment Schedule 2.0. We conducted multivariable hierarchical logistic regression to identify drivers of high disability burden.

settingThe MDSA primary sampling unit were villages in rural areas and neighbourhoods in urban areas, and the secondary sample units were the settlements within districts.

participantsThe MDSA collected data for 14 520 households across all 34 provinces. The adult tool of the survey was administered to a randomly selected household member aged 18 years or older.

main outcome measuresThe main outcome measured was moderate or severe disability (MSD), which was estimated using a Rasch composite score.

resultsMSD prevalence was upwards of 35% in 6/7 domains. Across most disability types, being a woman, older age, residing in rural areas, being uneducated, non-Pashtun ethnicity, being unmarried, living in a household in the low-income tertiles and a non-working household had the highest levels of MSD (p<0.05). Determinants of MSD varied by domain; however, variables including better access to health facilities and better experience of care (higher satisfaction with time spent and respect during visits) were generally protective. People with MSD in the self-care and life activities domains had the highest and lowest healthcare utilisation, respectively.

conclusionsDisability in Afghanistan is at public health crisis levels, with vulnerable populations being impacted most severely. To ensure progress towards Afghanistan's 2030 Sustainable Development Goals, targeted interventions for disability types based on population risk factors should be implemented.

Indexed as

Delivery of Health CarePersons with DisabilitiesAdultAfghanistanCross-Sectional StudiesFemaleHumansPatient Acceptance of Health CareEpidemiologyMENTAL HEALTHPublic health

Identifiers

PMID36717138
PMCPMC9887472
OpenAlexW4318486392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.