Evidence map›Paper›PMID 28540495›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

Linking existing instruments to develop a continuum of care measure: accuracy comparison using function-related group classification.

Chih-Ying Li, Sergio Romero, Kit N Simpson, Heather S Bonilha, Annie N Simpson, Ickpyo Hong, Craig A Velozo

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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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

2 citing papers in PubMed.

  1. Article
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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.

Chih-Ying LiDivision of Rehabilitation Sciences, School of Health Professions, University of Texas Medical Branch, Office 4.430, 301 University Boulevard, Galveston, TX, 77555-1137, USA. chili@utmb.edu.ORCID http://orcid.org/0000-0003-4817-554X
Sergio RomeroDepartment of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610-0164, USA.
Kit N SimpsonDepartment of Healthcare Leadership and Management, College of Health Professions, Medical University of South Carolina, Rm 410, 151-B Rutledge Ave, Charleston, SC, 29425, USA.
Heather S BonilhaDepartment of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, 77 President St., MSC 700, Charleston, SC, 29425, USA.
Annie N SimpsonDepartment of Healthcare Leadership and Management, College of Health Professions, Medical University of South Carolina, Rm 410, 151-B Rutledge Ave, Charleston, SC, 29425, USA.
Ickpyo HongDivision of Rehabilitation Sciences, School of Health Professions, University of Texas Medical Branch, Office 4.430, 301 University Boulevard, Galveston, TX, 77555-1137, USA.
Craig A VelozoDivision of Occupational Therapy, College of Health Professions, Medical University of South Carolina, Rm 330, 151-B Rutledge Avenue, MSC 962, Charleston, SC, 29425-9620, USA.

Funding

HSRD VA I01 HX000670U.S. Department of Veterans Affairs IR 11-223-1
6 · The paper itself

Abstract

purposesTo compare measurement accuracy of test forms with varied number of items (13, 8, and 4 items) generated from the self-care physical function item bank composed of Functional Independence Measure (FIM™) and the Minimum Data Set (MDS).

methodsRetrospective data analysis of 2499 Veterans who completed both FIM and MDS within 6 days. We compared measurement accuracy between the converted FIM (FIMc) motor score generated from the MDS and the original FIM (FIMa) motor score (13 items) at: (a) individual-level using point differences, and (b) group-level using function-related group (FRG).

resultsThe differences of mean FIMa and FIMc scores were between 0.05 and 1.07 points for all test forms. Over 81% of FIMc from MDS_13 were within 15 points of the FIMa. 81-90% of FRGs generated by the FIM short forms was identical to those generated by the FIMa for stroke, lower limb amputation, knee and hip replacement; and 59.9-90.5% by all MDS test forms. All MDS test forms had above 74% agreement with same or adjacent FMGs (ICC 0.65-0.91).

conclusionsThe accuracy is dependent on the comparison level (i.e., individual or group), length of the test and which FRG is used. Our results partially support using existing instruments-without decreasing the number of the items-to generate a continuum of care measurement.

Indexed as

Activities of Daily LivingAgedFemaleHumansMaleOutcome Assessment, Health CareQuality of LifeRetrospective StudiesSelf CareActivities of daily livingClassificationContinuity of patient careOutcome assessment (health care)Veterans

Identifiers

PMID28540495
PMCPMC8489266

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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.