Evidence map›Paper›PMID 30429122›Full record

ArticleBMJ (Clinical research ed.)2018

Prevalence of potentially inappropriate prescribing in older people in primary care and its association with hospital admission: longitudinal study.

Teresa Pérez, Frank Moriarty, Emma Wallace, Ronald McDowell, Patrick Redmond, Tom Fahey

Registry-linked trialAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04360746 (The Influence of Clinical Pharmacist on the Quality of Drug Prescribing and Rehabilitation Outcomes in Post-acute Hip Fractured Patients), which is not on this map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 pooled it
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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.

NCT04360746 nacompletednot on this mapstarted 2020, after this paper: background citation

The Influence of Clinical Pharmacist on the Quality of Drug Prescribing and Rehabilitation Outcomes in Post-acute Hip Fractured Patients

TypeinterventionalSponsorRabin Medical CenterRan2020 to 2022Enrolled200ConditionsHip Fractures, Clinical Pharmacists, Rehabilitation OutcomeArmsPharmaceutical intervention, Rehabilitation
3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  4. Ambulatory Medication Safety in Primary Care: A Systematic Review.Journal of the American Board of Family Medicine : JABFM
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Teresa PérezDepartment of Statistics and Data Science, Complutense University of Madrid, Madrid, Spain.
Frank MoriartyHRB Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID 0000-0001-9838-3625
Emma WallaceHRB Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin, Ireland.
Ronald McDowellHRB Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin, Ireland.
Patrick RedmondHRB Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin, Ireland.
Tom FaheyHRB Centre for Primary Care Research, Royal College of Surgeons in Ireland, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether hospital admission is associated with potentially inappropriate prescribing among older primary care patients (aged ≥65 years) and whether such prescribing was more likely after hospital admission than before.

designLongitudinal study of retrospectively extracted data from general practice records.

setting44 general practices in Ireland in 2012-15.

participantsAdults aged 65 years or over attending participating practices. EXPOSURE: Admission to hospital (any hospital admission versus none, and post-admission versus pre-admission).

main outcome measuresPrevalence of potentially inappropriate prescribing assessed using 45 criteria from the Screening Tool for Older Persons' Prescription (STOPP) version 2, analysed both as rate of distinct potentially inappropriate prescribing criteria met (stratified Cox regression) and binary presence of potentially inappropriate prescribing (logistic regression) and adjusted for patients' characteristics. A sensitivity analysis used matching with propensity scores based on patients' characteristics and diagnoses.

resultsOverall 38 229 patients were included, and during 2012 the mean age was 76.8 (SD 8.2) years and 43% (13 212) were male. Each year, 10.4-15.0% (3015/29 077 in 2015 to 4537/30 231 in 2014) of patients had at least one hospital admission. The overall prevalence of potentially inappropriate prescribing ranged from 45.3% (13 940/30 789) of patients in 2012 to 51.0% (14 823/29 077) in 2015. Independently of age, sex, number of prescription items, comorbidity, and health cover, hospital admission was associated with a higher rate of distinct potentially inappropriate prescribing criteria met; the adjusted hazard ratio for hospital admission was 1.24 (95% confidence interval 1.20 to 1.28). Among participants who were admitted to hospital, the likelihood of potentially inappropriate prescribing after admission was higher than before admission, independent of patients' characteristics; the adjusted odds ratio for after hospital admission was 1.72 (1.63 to 1.84). Analysis of propensity score matched pairs showed a slight reduction in the hazard ratio for hospital admission to 1.22 (1.18 to 1.25).

conclusionHospital admission was independently associated with potentially inappropriate prescribing. It is important to determine how hospital admission may affect appropriateness of prescribing for older people and how potential adverse consequences of admission can be minimised.

Indexed as

AgedAged, 80 and overAmbulatory CareFemaleGeneral PracticeHumansInappropriate PrescribingIrelandLongitudinal StudiesMalePatient AdmissionPrevalencePrimary Health CareRetrospective Studies

Identifiers

PMID30429122
PMCPMC6233705

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Registered trials

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.