Evidence map›Paper›PMID 33975606›Full record

ArticleInternational journal for equity in health2021

Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study.

Sharon Leitch, Jiaxu Zeng, Alesha Smith, Tim Stokes

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. A decade to wait: Update on the average delay to diagnosis for endometriosis in Aotearoa New Zealand.The Australian & New Zealand journal of obstetrics & gynaecology · 2024
    Article
  2. Precision Phenotyping of Dilated Cardiomyopathy Using Multidimensional Data.Journal of the American College of Cardiology · 2022
    Observational
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 1 institution in 1 country.

Sharon LeitchDepartment of General Practice and Rural Health, Otago Medical School - Dunedin Campus, University of Otago, Dunedin, New Zealand. sharon.leitch@otago.ac.nz.ORCID 0000-0001-9939-8773
Jiaxu ZengDepartment of Preventive and Social Medicine, Otago Medical School - Dunedin Campus, University of Otago, Dunedin, New Zealand.
Alesha SmithSchool of Pharmacy, University of Otago, Dunedin, New Zealand.
Tim StokesDepartment of General Practice and Rural Health, Otago Medical School - Dunedin Campus, University of Otago, Dunedin, New Zealand.
University of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite an overt commitment to equity, health inequities are evident throughout Aotearoa New Zealand. A general practice electronic alert system was developed to notify clinicians about their patient's risk of harm due to their pre-existing medical conditions or current medication. We aimed to determine whether there were any disparities in clinician action taken on the alert based on patient ethnicity or other demographic factors.

methodsSixty-six New Zealand general practices from throughout New Zealand participated. Data were available for 1611 alerts detected for 1582 patients between 1 and 2018 and 1 July 2019. The primary outcome was whether action was taken following an alert or not. Logistic regression was used to assess if patients of one ethnicity group were more or less likely to have action taken. Potential confounders considered in the analyses include patient age, gender, ethnicity, socio-economic deprivation, number of long term diagnoses and number of long term medications.

resultsNo evidence of a difference was found in the odds of having action taken amongst ethnicity groups, however the estimated odds for Māori and Pasifika patients were lower compared to the European group (Māori OR 0.88, 95 %CI 0.63-1.22; Pasifika OR 0.88, 95 %CI 0.52-1.49). Females had significantly lower odds of having action taken compared to males (OR 0.76, 95 %CI 0.59-0.96).

conclusionsThis analysis of data arising from a general practice electronic alert system in New Zealand found clinicians typically took action on those alerts. However, clinicians appear to take less action for women and Māori and Pasifika patients. Use of a targeted alert system has the potential to mitigate risk from medication-related harm. Recognising clinician biases may improve the equitability of health care provision.

Indexed as

Health EquityAdolescentAdultAgedChildChild, PreschoolCross-Sectional StudiesDecision Support TechniquesFamily PracticeFemaleHumansInfantMaleMiddle AgedNew ZealandPhysiciansDecision supportEquityEthnicityGeneral practiceHarm

Identifiers

PMID33975606
PMCPMC8111894
OpenAlexW3157144613

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.