Evidence map›Paper›PMID 31036000›Full record

ArticleBMC health services research2019

A quality indicator set for use in rehabilitation team care of people with rheumatic and musculoskeletal diseases; development and pilot testing.

Inger Johansen, Mari Klokkerud, Audny Anke, Janne-Birgitte Børke, Thomas Glott, Uno Hauglie, Audhild Høyem, Atle Klovning, Karin Anna Lande, Mona Larsen and 5 more

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

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  7. The development of indicators to measure the quality of care in geriatric rehabilitation.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2023
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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

15 authors.

Inger JohansenNational Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, P.O. Box 23, 0319, Oslo, Norway. inger.johansen@medisin.uio.no.ORCID http://orcid.org/0000-0003-3446-6426
Mari KlokkerudNational Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, P.O. Box 23, 0319, Oslo, Norway.
Audny AnkeDepartment of Rehabilitation, University Hospital of North Norway, Tromsø, Norway.
Janne-Birgitte BørkeDepartment of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Thomas GlottSunnaas Rehabilitation Hospital, 1453, Bjørnemyr, Norway.
Uno HauglieThe Municipality of Sandefjord, PO Box 2025, 3202, Sandefjord, Norway.
Audhild HøyemCentre for Quality Improvement and Development, University Hospital of North Norway, Box 20, N-9038, Tromsø, Norway.
Atle KlovningDepartment of General Practice, Institute of Health and Society, Faculty of Medicine, University of Oslo, P.O. Box 1130 Blindern, 0318, Oslo, Norway.
Karin Anna LandeRehabilitering Vest AS, PO Box 2175, 5504, Haugesund, Norway.
Mona LarsenNorwegian Rheumatism Association, PO Box 2653, Solli, N-0203, Oslo, Norway.
Jan Egil NordvikSunnaas Rehabilitation Hospital, 1453, Bjørnemyr, Norway.
Sigrid H WigersUnicare Jeløy Rehabilitation Centre, Bråtengaten 94, N-1515, Moss, Norway.
Irene ØyeflatenNational Advisory Unit on Occupational Rehabilitation, Haddlandsvegen 20. 3864, Rauland, Norway.
Kaare Birger HagenNational Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, P.O. Box 23, 0319, Oslo, Norway.
Ingvild KjekenNational Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, P.O. Box 23, 0319, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystems for monitoring effectiveness and quality of rehabilitation services across health care levels are needed. The purpose of this study was to develop and pilot test a quality indicator set for rehabilitation of rheumatic and musculoskeletal diseases.

methodsThe set was developed according to the Rand/UCLA Appropriateness Method, which integrates evidence review, in-person multidisciplinary expert panel meetings and repeated anonymous ratings for consensus building. The quality indicators were pilot-tested for overall face validity and feasibility in 15 specialist and 14 primary care rehabilitation units. Pass rates (percentages of "yes") of the indicators were recorded in telephone interviews with 29 unit managers (structure indicators), and 164 patients (process and outcome indicators). Time use and participants' numeric rating of face validity (0-10, 10 = high validity) were recorded.

resultsNineteen structure, 12 process and five outcome indicators were developed and piloted. Mean (range) sum pass rates for the structure, process and outcome indicators were 59%(84%), 66%(100%) and 84%(100%), respectively. Mean (range) face validity score for managers/patients was 8.3 (8)/7.9 (9), and mean answering time was 6.0/5.5 min. The final indicator set consists of 19 structure, 11 process and three outcome indicators.

conclusionTo our knowledge this is the first quality indicator set developed for rehabilitation of rheumatic and musculoskeletal diseases. Good overall face validity and a feasible format indicate a set suitable for monitoring quality in rehabilitation. The variation in pass rates between centers indicates a potential for quality improvement in rheumatic and musculoskeletal rehabilitation in Norway.

Indexed as

ConsensusFeasibility StudiesHumansMusculoskeletal DiseasesPilot ProjectsQuality ImprovementQuality Indicators, Health CareReproducibility of ResultsRheumatic DiseasesDelphi techniqueHealth careMusculoskeletal diseasesQuality indicatorsRehabilitation

Identifiers

PMID31036000
PMCPMC6489243

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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.