Evidence map›Paper›PMID 39451503›Full record

ArticleHealthcare (Basel, Switzerland)2024

Urban-Rural Disparities in Community Participation after Spinal Cord Injury in Ontario.

Mohammadreza Amiri, Mohammad Alavinia, Farnoosh Farahani, Natavan Khasiyeva, Meredith Burley, Suban Kangatharan, Beverley Catharine Craven

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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. 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

7 authors.

Mohammadreza AmiriCentre for the Business and Economics of Health, The University of Queensland, St. Lucia, QLD 4072, Australia.ORCID 0000-0001-8579-8055
Mohammad AlaviniaKITE Research Institute, University Health Network, Toronto, ON M5G 2A2, Canada.
Farnoosh FarahaniKITE Research Institute, University Health Network, Toronto, ON M5G 2A2, Canada.
Natavan KhasiyevaSpinal Cord Injury Ontario, Toronto, ON M4G 3V9, Canada.
Meredith BurleySpinal Cord Injury Ontario, Toronto, ON M4G 3V9, Canada.
Suban KangatharanKITE Research Institute, University Health Network, Toronto, ON M5G 2A2, Canada.
Beverley Catharine CravenKITE Research Institute, University Health Network, Toronto, ON M5G 2A2, Canada.ORCID 0000-0001-8234-6803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal, social, and environmental factors may influence self-efficacy and social reintegration among people living with spinal cord injury or disease (SCI/D) in urban and rural areas. Novel data collection methods have the potential to characterize community participation (CP) in diverse settings.

objectivesThe objectives were (1) to describe and compare self-reported community participation (Reintegration to Normal Living Index (RNLI) and Moorong Self-Efficacy Scale (MSES)) levels of individuals with SCI/D living in urban or rural Ontario, Canada; and (2) to determine the accuracy of an artificial intelligence (AI) optical mark recognition tool for extracting data from CP surveys conducted among participants after transitioning from inpatient rehabilitation to home and residing in the community.

methodsWe partnered with SCI Ontario staff to collect MSES and RNLI survey data from adults with motor complete (e.g., AIS A-B) and incomplete (AIS C-D) SCI/D living in urban or rural Ontario, Canada, between January and October 2022. The Rurality Index of Ontario (RIO) from the postal code determined urban or rural residency. Optical mark recognition (OMR) software was used for survey data extraction. A Research Associate validated the extracted survey responses. Descriptive statistics, correlation analysis, and non-parametric statistics were used to describe the participants, their impairments, and their reported CP levels across urban and rural settings.

resultsEighty-five individuals with SCI/D (mean age 53.7 years, 36.5% female) completed the survey. Most of the participants resided in major urban areas (69.4%) and had traumatic injuries (64.7%). The mean total MSES score for Ontarians with SCI/D was 87.96 (95% confidence interval [CI]: 84.45, 91.47), while the mean total RNLI score for the same individuals was 75.61 (95% CI: 71.85, 79.37). Among the MSES domains, the lowest score was observed in response to sexual satisfaction (mean: 4.012, 95% CI: 3.527, 4.497), while the lowest RNLI domain item score was associated with the ability to travel out of town (mean: 5.965, 95% CI: 5.252, 6.678). Individuals with incomplete injuries in rural areas reported lower MSES and RNLI scores than those with complete motor injuries, whereas no significant differences were found in MSES and RNLI scores among urban residents based on impairment. These findings suggest that, depending on the environmental context (e.g., rural vs. urban areas), AIS categories may influence the perception of CP among people living with SCI/D. The OMR tool had 97.4% accuracy in extracting data from the surveys.

conclusionsThe CP (MSES and RNLI) scores reported by individuals with SCI/D differ based on their living setting. In rural Ontario, individuals with greater functional ability reported lower CP than their counterparts living in urban settings. Although CP remains a challenge, the needs of individuals with motor incomplete SCI/D and heterogeneous levels of mobility residing in rural areas require exploration and targeted interventions. The OMR tool facilitates accurate data extraction from surveys across settings.

Indexed as

artificial intelligencecommunity participationMoorong Self-Efficacy Scale (MSES)optical mark recognition (OMR)Reintegration to Normal Living Index (RNLI)spinal cord injury or disease (SCI/D)

Identifiers

PMID39451503
PMCPMC11507304

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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.