Evidence map›Paper›PMID 39839425›Full record

ArticleFrontiers in public health2024

Distribution and determinants of the utilization of senior residential care homes in Saudi Arabia: a cross-sectional study.

Saad M Bindawas, Vishal Vennu, Maha Almarwani, Walid Alkeridy

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Saad M BindawasDepartment of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Vishal VennuDepartment of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Maha AlmarwaniDepartment of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Walid AlkeridyDepartment of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the accelerated increase in the population of seniors aged 60 years or older in Saudi Arabia, understanding the utilization of senior residential care homes is crucial for improving service delivery and policy planning to meet the care transformation objectives of Vision 2030. Objective: To assess the distribution and determinants of senior residential care home utilization across Saudi Arabia's 13 administrative regions, focusing on predictors of functional dependency among different socio-demographic groups. Methods: This study analyzed data from 283 Saudi individuals aged ≥65 admitted to social residential care homes in 2021. Variables included age, sex, education level, marital status, region, and reasons for service use. Statistical analyses comprised descriptive statistics, chi-square tests, independent t-tests, and multivariable logistic regression. Results: The Makkah region had the highest number of senior residential care home users (56.8%; Conclusion: The study highlights regional and socio-demographic variations in senior residential care home service utilization in Saudi Arabia, emphasizing the need for targeted interventions and policies aligned with Saudi Arabia's Vision 2030 to enhance service accessibility and effectiveness for the aging population.

Indexed as

Homes for the AgedNursing HomesAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleSaudi ArabiaSocioeconomic Factorsdemographichealth serviceresidential care homeSaudi Arabiasenior

Identifiers

PMID39839425
PMCPMC11747231

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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.