Evidence map›Paper›PMID 32571330›Full record

ArticleInternational journal for equity in health2020

A case study of using the He Pikinga Waiora Implementation Framework: challenges and successes in implementing a twelve-week lifestyle intervention to reduce weight in Māori men at risk of diabetes, cardiovascular disease and obesity.

John Oetzel, Moana Rarere, Ray Wihapi, Carey Manuel, Jade Tapsell

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

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  8. Use of co-design methodology in the development of cardiovascular disease secondary prevention interventions: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2023
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  14. First Nation Peoples' nutrition and exercise group programmes: transforming success through the lifeworld.International journal of qualitative studies on health and well-being · 2021
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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

5 authors at 1 institution in 1 country.

John OetzelWaikato Management School, University of Waikato, Hamilton, New Zealand. john.oetzel@waikato.ac.nz.ORCID 0000-0003-3188-776X
Moana RarereNational Institute of Demographic and Economic Analysis (NIDEA), University of Waikato, Hamilton, New Zealand.ORCID 0000-0002-1385-334X
Ray WihapiPoutiri Trust, Te Puke, New Zealand.
Carey ManuelPoutiri Trust, Te Puke, New Zealand.
Jade TapsellPoutiri Trust, Te Puke, New Zealand.
University of Waikato · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMāori men have stark health inequities around non-communicable diseases. This study describes the case of a partnership attempting to develop and implement a culturally centred intervention through a collaborative partnership to potentially address the inequities. In particular, the partnership followed a participatory, co-design approach using the He Pikinga Waiora (HPW) Implementation Framework; the study presents lessons learnt in addressing health inequities following this framework.

methodsThe partnership involved a university research team and a Māori community health provider. They engaged with other stakeholders and several cohorts of Māori men through a co-design process to adapt a 12-week lifestyle intervention. The co-design process was documented through meeting notes and interviews with partners. Two cohorts participated in separate single group pre-intervention/post-intervention designs with multi-method data collection. Key outcome measures included weight loss, self-reported health, physical activity, and nutrition. Post-intervention data collection included qualitative data.

resultsThe co-design process resulted in a strong and engaged partnership between the university team and the provider. There were significant challenges in implementing the intervention including having two additional partner organisations dropping out of the partnership just after the initial implementation phase. However, a flexible and adaptable partnership resulted in developing two distinct lifestyle interventions run with 32 Māori men (in two different cohorts of 8 and 24). All but one in the first cohort completed the programme. The first cohort had a modest although statistically insignificant improvement in weight loss (d = 1.04) and body mass index (BMI; d = 1.08). The second cohort had a significant reduction in weight loss (d = 1.16) and BMI (d = 1.15). They also had a significant increase in health-related quality of life (d = 1.7) and self-rated health (d = 2.0).

conclusionThe HPW Framework appears to be well suited to advance implementation science for Indigenous communities in general and Māori in particular. The framework has promise as a policy and planning tool to evaluate and design interventions for chronic disease prevention in Indigenous communities. Despite this promise, there are structural challenges in developing and implementing interventions to address health inequities.

trial registrationRetrospectively registered, Australia New Zealand Clinical Trials Registry, ACTRN12619001783112.

Indexed as

AdultAgedAged, 80 and overBehavior TherapyCardiovascular DiseasesDiabetes Mellitus, Type 2ExerciseHealthy LifestyleHumansMaleMiddle AgedObesityPatient Education as TopicDiabetes preventionImplementation frameworkIndigenous communitiesLifestyle interventionMāori

Identifiers

PMID32571330
PMCPMC7310040
OpenAlexW3036353471

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.