Evidence map›Paper›PMID 31856733›Full record

ArticleBMC geriatrics2019

Quality of prescribing predicts hospitalisation in octogenarians: life and living in advanced age: a cohort study in New Zealand (LiLACS NZ).

Cristín Ryan, Ruth Teh, Simon Moyes, Tim Wilkinson, Martin Connolly, Anna Rolleston, Mere Kepa, Ngaire Kerse

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. [Why represcribing instead of deprescribing?]Innere Medizin (Heidelberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. [The FORTA (Fit fOR The Aged) List].Innere Medizin (Heidelberg, Germany) · 2024
    Review
  6. Review
  7. Review
  8. Article
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

8 authors at 3 institutions in 2 countries.

Cristín RyanSchool of Pharmacy and Pharmaceutical Sciences, Trinity College Dublin, Dublin, Ireland. cristin.ryan@tcd.ie.ORCID 0000-0002-6037-4413
Ruth TehDepartment of General Practice and Primary Health Care, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Simon MoyesDepartment of General Practice and Primary Health Care, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Tim WilkinsonOlder People's Health, University of Otago, Dunedin, New Zealand.
Martin ConnollyFreemasons Department of Geriatric Medicine, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Anna RollestonTe Kupenga Haoura Māori, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Mere KepaDepartment of General Practice and Primary Health Care, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
Ngaire KerseDepartment of General Practice and Primary Health Care, Faculty of Medical and Health Sciences University of Auckland, Auckland, New Zealand.
University of Auckland · NZTrinity College Dublin · IEUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrescribing for older people is complex, and many studies have highlighted that appropriate prescribing in this cohort is not always achieved. However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up.

methodsPIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Māori aged 80-90 years and 516 non-Māori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p < 0.05 was considered significant).

resultsFull data were obtained for 267 Māori and 404 non-Māori. The mean age for Māori was 82.3(±2.6) years, and 84.6(±0.53) years for non-Māori. 247 potentially inappropriate medicines were identified, affecting 24.3% Māori and 28.0% non-Māori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p > 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Māori and 49.0% non-Māori. PPOs were associated with hospitalisation (p = 0.001 for Māori), but were not associated with risk of mortality (p > 0.05) for either cohort within the 12-month follow-up (adjusted models).

conclusionPPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Māori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine the long-term effects of PIP on mortality and hospitalisation.

Indexed as

AgedAged, 80 and overAgingCohort StudiesDrug PrescriptionsFemaleFollow-Up StudiesForecastingHospitalizationHumansInappropriate PrescribingLongitudinal StudiesMaleNew ZealandPatient DischargePotentially Inappropriate Medication ListAppropriate prescribingEthnicityLongitudinal studyOlder people

Identifiers

PMID31856733
PMCPMC6921419
OpenAlexW2995033211

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.