Evidence map›Paper›PMID 35436006›Full record

ArticleJournal of advanced nursing2022

Theory-based capacity building intervention for intersectoral action for health at local governments: An exploratory pilot study.

Naia Hernantes, Elena Bermejo-Martins, Kjell Ivar Øvergård, María Jesús Pumar-Mendez, Olga Lopez-Dicastillo, Andrea Iriarte-Roteta, Elena Antoñanzas-Baztan, Agurtzane Mujika

Open access · bronzeAbstract read
In one paragraph

Article in Journal of advanced nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Nurses' Political Participation: Going Back to Our Roots.Policy, politics & nursing practice · 2026
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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

8 authors at 4 institutions in 2 countries.

Naia HernantesDepartment of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country, Donostia-San Sebastián, Spain.ORCID https://orcid.org/0000-0001-9277-5417
Elena Bermejo-MartinsSchool of Nursing, University of Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0001-7040-3508
Kjell Ivar ØvergårdResearch group for Health Promotion in Settings, Department of Health-, Social-, and Welfare Studies, University of South-Eastern Norway, Kongsberg, Norway.ORCID https://orcid.org/0000-0002-4029-4344
María Jesús Pumar-MendezNavarra Institute for Health Research, Idisna. Pamplona, Spain.ORCID https://orcid.org/0000-0003-3284-5588
Olga Lopez-DicastilloNavarra Institute for Health Research, Idisna. Pamplona, Spain.ORCID https://orcid.org/0000-0001-7375-8072
Andrea Iriarte-RotetaSchool of Nursing, University of Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0002-6316-0795
Elena Antoñanzas-BaztanDepartment of Health Sciences, Faculty of Health Sciences, Public University of Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0003-0556-6671
Agurtzane MujikaDepartment of Nursing II, Faculty of Medicine and Nursing, University of the Basque Country, Donostia-San Sebastián, Spain.ORCID https://orcid.org/0000-0002-9470-1048
Universidad Publica de Navarra · ESUniversity of the Basque Country · ESNavarre Institute of Health Research · ESUniversity of South-Eastern Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo design, implement and evaluate a nurse-led capacity building intervention (PromoGOB) for intersectoral action for health at local governments.

designThe programme was based on theories of the policy process and organizational change and facilitated by a nurse developing a health broker role. A complex intervention perspective was adopted in carrying out the study. The intervention was evaluated using a mixed method embedded design.

methodsQuantitative component relied on a specific questionnaire. This tool, designed and piloted ad hoc, measured the capacity in terms of knowledge, awareness, resources, skills, and commitment, both at sectoral and government levels. For the qualitative component, semi-structured interviews were conducted. These explored the perceived capacity and feasibility and acceptability issues. The programme was initiated at the end of October 2019, and it lasted a total of 5 weeks. Nineteen individuals representing various sectors at a local government in northern Spain participated in the study. The data analysis was concluded by the end of March 2020.

findingsPromoGOB positively influenced participants' capacity for addressing health promotion. Awareness component, intersectoral work and the nurse as health broker were essential in the programme. The necessity of political participation was identified as an issue to be prioritized in future studies.

conclusionThis study highlights the relevance of capacity building at local governments and the role that nurses can play in it. Further work should be undertaken to continue developing Health in All Policies approach at local level. IMPACT: This study offers a starting point for nurses to get involved in the policy process of health promotion, performing a specific role as health brokers, building capacity at local governments for addressing social determinants of health, and delving into theories and concepts of the Health in All Policies field.

Indexed as

Capacity BuildingLocal GovernmentHealth PolicyHealth PromotionHumansPilot ProjectsSpaincapacity buildinghealth brokerhealth in all policieshealth promotionintersectoral actionlocal governmentspublic health nursingsocial determinants of health

Identifiers

PMID35436006
PMCPMC9322672
OpenAlexW4224297675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.