Evidence map›Paper›PMID 31992215›Full record

ArticleBMC geriatrics2020

Does potentially inappropriate prescribing predict an increased risk of admission to hospital and mortality? A longitudinal study of the 'oldest old'.

Karen Cardwell, Ngaire Kerse, Carmel M Hughes, Ruth Teh, Simon A Moyes, Oliver Menzies, Anna Rolleston, Joanna B Broad, Cristín Ryan

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. 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
1.9field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 20 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

9 authors at 5 institutions in 3 countries.

Karen CardwellSchool of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, Northern Ireland. k.cardwell@qub.ac.uk.ORCID http://orcid.org/0000-0002-5909-7439
Ngaire KerseDepartment of General Practice and Primary Health Care, School of Population Health, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Carmel M HughesSchool of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, Northern Ireland.
Ruth TehDepartment of General Practice and Primary Health Care, School of Population Health, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Simon A MoyesDepartment of General Practice and Primary Health Care, School of Population Health, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Oliver MenziesOlder People's Health, Auckland District Health Board, Auckland, New Zealand.
Anna RollestonThe Centre for Health, Tauranga, New Zealand.
Joanna B BroadDepartment of Geriatric Medicine, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Cristín RyanSchool of Pharmacy & Pharmaceutical Science, Trinity College Dublin, The University of Dublin, College Green, Dublin, Dublin 2, Ireland.
University of Auckland · NZQueen's University Belfast · GBAuckland District Health Board · NZThe Centre for Health (New Zealand) · NZTrinity College Dublin · IE

Funding

Department for Employment and Learning, Northern Ireland NA
6 · The paper itself

Abstract

backgroundPotentially inappropriate prescribing (PIP) is associated with negative health outcomes, including hospitalisation and mortality. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ) is a longitudinal study of Māori (the indigenous population of New Zealand) and non-Māori octogenarians. Health disparities between indigenous and non-indigenous populations are prevalent internationally and engagement of indigenous populations in health research is necessary to understand and address these disparities. Using LiLACS NZ data, this study reports the association of PIP with hospitalisations and mortality prospectively over 36-months follow-up.

methodsPIP, from pharmacist applied criteria, was reported as potentially inappropriate medicines (PIMs) and potential prescribing omissions (PPOs). The association between PIP and hospitalisations (all-cause, cardiovascular disease-specific and ambulatory-sensitive) and mortality was determined throughout a series of 12-month follow-ups using binary logistic (hospitalisations) and Cox (mortality) regression analysis, reported as odds ratios (ORs) and hazard ratios (HRs), respectively, and the corresponding confidence intervals (CIs).

resultsFull demographic data were obtained for 267 Māori and 404 non-Māori at baseline, 178 Māori and 332 non-Māori at 12-months, and 122 Māori and 281 non-Māori at 24-months. The prevalence of any PIP (i.e. ≥1 PIM and/or PPO) was 66, 75 and 72% for Māori at baseline, 12-months and 24-months, respectively. In non-Māori, the prevalence of any PIP was 62, 71 and 73% at baseline, 12-months and 24-months, respectively. At each time-point, there were more PPOs than PIMs; at baseline Māori were exposed to a significantly greater proportion of PPOs compared to non-Māori (p = 0.02). In Māori: PPOs were associated with a 1.5-fold increase in hospitalisations and mortality. In non-Māori, PIMs were associated with a double risk of mortality.

conclusionsPIP was associated with an increased risk of hospitalisation and mortality in this cohort. Omissions appear more important for Māori in predicting hospitalisations, and PIMs were more important in non-Māori in predicting mortality. These results suggest understanding prescribing outcomes across and between population groups is needed and emphasises prescribing quality assessment is useful.

Indexed as

Aged, 80 and overCohort StudiesFemaleFollow-Up StudiesForecastingHospitalizationHumansInappropriate PrescribingLongitudinal StudiesMaleMortalityNew ZealandPatient AdmissionPotentially Inappropriate Medication ListAdults aged ≥80 yearsHealth outcomesLongitudinal studyPotentially inappropriate prescribingSTOPP/START criteria

Identifiers

PMID31992215
PMCPMC6986145
OpenAlexW3006440279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.