Evidence map›Paper›PMID 37487715›Full record

Observational studyAnnals of family medicine

Personal Continuity and Appropriate Prescribing in Primary Care.

Marije T Te Winkel, Birgit A Damoiseaux-Volman, Ameen Abu-Hanna, Birgit I Lissenberg-Witte, Rob J van Marum, Henk J Schers, Pauline Slottje, Annemarie A Uijen, Jettie Bont, Otto R Maarsingh

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 21 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

10 authors at 4 institutions in 1 country.

Marije T Te WinkelAmsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, The Netherlands.
Birgit A Damoiseaux-VolmanAmsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.
Ameen Abu-HannaAmsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.
Birgit I Lissenberg-WitteAmsterdam UMC location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, The Netherlands.
Rob J van MarumAmsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Henk J SchersRadboud University Nijmegen Medical Centre, Department of Primary and Community Care, Nijmegen, The Netherlands.
Pauline SlottjeAmsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, The Netherlands.
Annemarie A UijenRadboud University Nijmegen Medical Centre, Department of Primary and Community Care, Nijmegen, The Netherlands.
Jettie BontAmsterdam Public Health Research Institute, University of Amsterdam, Amsterdam, The Netherlands.
Otto R MaarsinghAmsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice, Amsterdam, The Netherlands o.maarsingh@amsterdamumc.nl.
Amsterdam University Medical Centers · NLRadboud University Nijmegen · NLVrije Universiteit Amsterdam · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePersonal continuity between patient and physician is a core value of primary care. Although previous studies suggest that personal continuity is associated with fewer potentially inappropriate prescriptions, evidence on continuity and prescribing in primary care is scarce. We aimed to determine the association between personal continuity and potentially inappropriate prescriptions, which encompasses potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), by family physicians among older patients.

methodsWe conducted an observational cohort study using routine care data from patients enlisted in 48 Dutch family practices from 2013 to 2018. All 25,854 patients aged 65 years and older having at least 5 contacts with their practice in 6 years were included. We calculated personal continuity using 3 established measures: the usual provider of care measure, the Bice-Boxerman Index, and the Herfindahl Index. We used the Screening Tool of Older Person's Prescriptions (STOPP) and the Screening Tool to Alert doctors to Right Treatment (START) specific to the Netherlands version 2 criteria to calculate the prevalence of potentially inappropriate prescriptions. To assess associations, we conducted multilevel negative binomial regression analyses, with and without adjustment for number of chronic conditions, age, and sex.

resultsThe patients' mean (SD) values for the usual provider of care measure, the Bice-Boxerman Continuity of Care Index, and the Herfindahl Index were 0.70 (0.19), 0.55 (0.24), and 0.59 (0.22), respectively. In our population, 72.2% and 74.3% of patients had at least 1 PIM and PPO, respectively; 30.9% and 34.2% had at least 3 PIMs and PPOs, respectively. All 3 measures of personal continuity were positively and significantly associated with fewer potentially inappropriate prescriptions.

conclusionsA higher level of personal continuity is associated with more appropriate prescribing. Increasing personal continuity may improve the quality of prescriptions and reduce harmful consequences.

Indexed as

Inappropriate PrescribingPotentially Inappropriate Medication ListAgedCohort StudiesHumansPhysicians, FamilyPrimary Health Careadverse eventschronic diseasecontinuity of caredeprescribingdrug prescriptionsfamily practicegeriatricshealth services for the agedinappropriate prescribingpersonal continuitypolypharmacypotentially inappropriate medication listpractice patterns, physicians’primary care

Identifiers

PMID37487715
PMCPMC10365882
OpenAlexW4385221172

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.