Evidence map›Paper›PMID 34408025›Full record

ArticleBMJ open2021

Identification and management of frail patients in English primary care: an analysis of the General Medical Services 2018/2019 contract dataset.

Khulud Alharbi, Thomas Blakeman, Harm van Marwijk, David Reeves

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Khulud AlharbiNational Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK khulud.alharbi@postgrad.manchester.ac.uk.ORCID 0000-0001-6245-7880
Thomas BlakemanNational Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK.
Harm van MarwijkDivision of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton, UK.ORCID 0000-0001-6206-485X
David ReevesNational Institute for Health Research School for Primary Care Research, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0001-6377-6859
University of Manchester · GBBrighton and Sussex Medical School · GBManchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to explore the extent of implementation of the General Medical Services 2018/2019 'frailty identification and management' contract in general practitioner (GP) practices in England, and link implementation outcomes to a range of practice and Clinical Commissioning Group (CCG) factors.

designA cross-sectional study design using publicly available datasets relating to the year 2018 for all GP practices in England. SETTINGS: English general practices. DATA: The analysis was conducted across 6632 practices in 193 CCGs with 9 995 558 patients aged 65 years or older. OUTCOMES: Frailty assessment rates, frailty coding rates and frailty prevalence rates, plus rates of medication reviews, falls assessments and enriched Summary Care Records (SCRs). ANALYSIS: Summary statistics were calculated and multilevel negative binomial regression analysis was used to investigate relationships of the six outcomes with explanatory factors.

results14.3% of people aged 65 years or older were assessed for frailty, with 35.4% of these-totalling 5% of the eligible population-coded moderately or severely frail. 59.2% received a medications review, but rates of falls assessments (3.7%) and enriched SCRs (21%) were low. However, percentages varied widely across practices and CCGs. Practice differences in contract implementation were most strongly accounted for by their grouping within CCGs, with weaker but still important associations with some practice and CCG factors, particularly healthcare demand-related factors of chronic caseload and (negatively) % of patients aged 65 years or older.

conclusionCCG appears the strongest determinant of practice engagement with the frailty contract, and fuller implementation may depend on greater engagement of CCGs themselves, particularly in commissioning suitable interventions. Practices understandably targeted frailty assessments at patients more likely to be found severely frail, resulting in probable underidentification of moderately frail individuals who might benefit most from early interventions. Frailty prevalence estimates based on the contract data may not reflect actual rates.

Indexed as

FrailtyGeneral PractitionersAgedCross-Sectional StudiesFrail ElderlyHumansPrimary Health Carehealth policyhealth services administration & managementprimary carepublic health

Identifiers

PMID34408025
PMCPMC8375730
OpenAlexW3194799711

What OpenQuestion holds

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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.