Evidence map›Paper›PMID 31046755›Full record

Observational studyBMC health services research2019

A time-duration measure of continuity of care to optimise utilisation of primary health care: a threshold effects approach among people with diabetes.

Ninh Thi Ha, Mark Harris, David Preen, Suzanne Robinson, Rachael Moorin

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Can Care Coordination for Multiple Long-Term Conditions Be Meaningfully Measured Using Routine Data? A Multi-Stage Consultation.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Primary care usage at the end of life: a retrospective cohort study of cancer patients using linked primary and hospital care data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  5. The longitudinality of care from the perspective of Family Health users.Revista da Escola de Enfermagem da U S P · 2024
    Article
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  8. Review
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  10. Article
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  12. 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

5 authors.

Ninh Thi HaHealth systems and Health economics, School of Public Health, Curtin University, Perth, Western Australia, 6845, Australia.
Mark HarrisSchool of Economics and Finance, Curtin University, Perth, Western Australia, 6845, Australia.
David PreenCentre for Health Services Research, School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
Suzanne RobinsonHealth systems and Health economics, School of Public Health, Curtin University, Perth, Western Australia, 6845, Australia.
Rachael MoorinHealth systems and Health economics, School of Public Health, Curtin University, Perth, Western Australia, 6845, Australia. r.moorin@curtin.edu.au.

Funding

the National Health and Medical Research Council APP1078345
6 · The paper itself

Abstract

backgroundLiterature highlighted the importance of timely access and ongoing care provided at primary care settings in reducing hospitalisation and health care resource uses. However, the effect of timely access to primary care has not been fully captured in most of the current continuity of care indices. This study aimed to develop a time-duration measure of continuity of primary care ("cover index") capturing the proportion of time an individual is under the potentially protective effect of primary health care contacts.

methodsAn observational study was conducted on 36,667 individuals aged 45 years or older with diabetes mellitus extracted from Western Australian linked administrative data. Threshold effect models were used to determine the maximum time interval between general practitioner (GP) visits that afforded a protective effect against avoidable hospitalisation across complication cohorts. The optimal maximum time interval was used to compute a cover index for each individual. The cover was evaluated using descriptive statistics stratified by population socio-demographic characteristics.

resultsThe optimal maximum time between GP visits was 9-13 months for people with diabetes with no complication, 5-11 months for people with diabetes with 1-2 complications, and 4-9 months for people with diabetes with 3+ complications. The cover index was lowest among those aged 75+ years, males, Indigenous people, socio-economically disadvantaged and those in very remote areas.

conclusionsThis study developed a new measure of continuity of primary care that adds a time parameter to capturing longitudinal continuity. Cover has the potential to better capture underuse of primary care and will significantly contribute to the sparsely available methods for analysis of linked administrative data in evaluating continuity of care for people with chronic conditions.

Indexed as

Continuity of Patient CarePrimary Health CareAgedDiabetes MellitusFemaleGeneral PractitionersHospitalizationHumansMaleMiddle AgedModels, TheoreticalTime FactorsWestern AustraliaContinuity of careCover indexDiabetes mellitusOptimal time intervalPotentially preventable hospitalisationPrimary care

Identifiers

PMID31046755
PMCPMC6498591

What OpenQuestion holds

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LicenceCC BY
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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.