| Literature DB >> 35436006 |
Naia Hernantes1,2, Elena Bermejo-Martins2,3, Kjell Ivar Øvergård4, María Jesús Pumar-Mendez3,5, Olga Lopez-Dicastillo3,5, Andrea Iriarte-Roteta2,5,6, Elena Antoñanzas-Baztan5,6,7, Agurtzane Mujika1.
Abstract
AIM: To design, implement and evaluate a nurse-led capacity building intervention (PromoGOB) for intersectoral action for health at local governments.Entities:
Keywords: capacity building; health broker; health in all policies; health promotion; intersectoral action; local governments; public health nursing; social determinants of health
Mesh:
Year: 2022 PMID: 35436006 PMCID: PMC9322672 DOI: 10.1111/jan.15247
Source DB: PubMed Journal: J Adv Nurs ISSN: 0309-2402 Impact factor: 3.057
FIGURE 1Theoretical foundations of the intervention
FIGURE 2PromoGOB's theoretical bases
Intervention's logic model
| Problem | Scientific evidence | Resources | Intervention | Key components | Results | Long term results |
|---|---|---|---|---|---|---|
| There is a lack of intersectoral action for health promotion at local governments. |
Intersectoral action is the catalyst of the HiAP approach There is a lack of capacity at local governments for starting collaborations supporting health issues |
Nurse specialized in health promotion in local contexts Economic resources provided by a scholarship Previous contact with the local government Design of the intervention guided by ‘health Promotion in Settings’ Norwegian research group, whose development has put some focus on HiAP at local governments |
PromoGOB programme: Capacity building for health promotion at local government (Three 2‐h sessions) Oriented to work around knowledge, awareness, resources, skills, commitment, and accountability Focused on local government's workers Facilitator: Health broker's attributes |
Participatory approach All sectors and workers participation Shared knowledge construction Common language construction Health issues' sense of belonging Shared vision construction PromoGOB's working material extracted from Local government Facilitator In health broker role |
Understanding of health concept from SDH perspective Awareness about different sector's impact on SDH Increase of Sector's commitment on SDH Increase of government commitment on SDH Resources' identification Skills perception for health promotion increased More capacity for collaborate around health issues |
Local Health Plans Healthy Public Policies Local SDH assessment Better individual and community health |
Data collection methods
| Variable | Method | Informant | Assessment time | Duration |
|---|---|---|---|---|
| Sociodemographic characteristics | Sociodemographic questionnaire | Participant | T0 | 5 min |
| Knowledge of health concept | CaPSalGOB questionnare | Participant | T0–T1 | 15 min |
| Awareness sectors' impact on SDH | ||||
| Skills for health promotion | ||||
| Resources for health promotion | ||||
| Sector commitment | ||||
| Government commitment | ||||
| Perceived capacity | Semi‐structured interview | Participant | T1 | 15 min |
| Satisfaction | Satisfaction questionnaire | Participant | T1 | 5 min |
| Acceptability | Semi‐structured interview | Participant | T1 | 15 min |
| Feasibility | Evaluation questionnaire | Participant | T1 | 5 min |
| Field diary | Researcher | Continuous | NA |
Abbreviation: NA, not applicable.
Sample's characteristics
| Variable | Frec. | Percent. (%) |
|---|---|---|
| Gender ( | ||
| Female | 14 | 73.7 |
| Male | 5 | 26.3 |
| Sector of origin ( | ||
| Public Health and environment | 3 | 15.8 |
| Urban Planning & Projects | 2 | 10.5 |
| Education and social promotion | 2 | 10.5 |
| Municipal Police department and Emergencies and Fire Services | 2 | 10.5 |
| Maintenance of urban services | 3 | 15.8 |
| Presidency | 4 | 21.1 |
| Emergencies and Fire Services | 1 | 5.3 |
| Others | 3 | 15.8 |
| Professional profile ( | ||
| Chief of section | 2 | 10.5 |
| Technical profiles | 7 | 36.8 |
| Administrative profiles | 3 | 15.8 |
| Others | 7 | 36.8 |
| Academic education ( | ||
| High School | 2 | 10.5 |
| Cert. of Higher education | 2 | 10.5 |
| University | 14 | 73.7 |
| Others | 1 | 5.3 |
| Previous knowledge ( | ||
| No | 17 | 89.5 |
| Yes | 2 | 10.5 |
Of the 28 people initially registered, 7 participants did not complete the programme due to unforeseen work issues, 1 participant forgot to attend to the first session and 1 was unable to complete the programme due to a sick leave.
Efficacy results
| Variable | Mean | SD | Mean | SD |
|
|
| 95% CI of |
|---|---|---|---|---|---|---|---|---|
| Knowledge | 6.11 | 0.57 | 6.30 | 0.60 | −1.54 | .140 | 0.35 | [−0.12; 0.81] |
| Awareness | 5.02 | 0.79 | 5.41 | 0.71 | −4.85 | <.001 | 1.11 | [0.53; 1.68] |
| Resources | 2.72 | 1.39 | 3.31 | 1.23 | −2.61 | .018 | 0.60 | [0.10; 1.08] |
| Skills | 2.74 | 1.40 | 3.04 | 1.53 | −1.90 | .073 | 0.44 | [−0.04; 0.90] |
| Sectoral commitment | 4.96 | 1.91 | 5.94 | 1.22 | −2.16 | .045 | 0.50 | [0.01; 0.97] |
| Government's commitment | 6.26 | 0.76 | 6.54 | 0.54 | −1.98 | .064 | 0.45 | [−0.03; 0.92] |
| Overall capacity | 4.64 | 0.86 | 5.09 | 0.71 | −3.86 | .001 | 0.89 | [0.34; 1.41] |
Note: N = 19 and df = 18 for all tests.
Abbreviations: 95% CI, 95% confidence interval; d, Cohen's delta; df, degrees of freedom; p, statistical significance level for two‐tailed test; Pre, measures before intervention; Post, measures after intervention; SD, standard deviation; t, t‐value from paired samples t‐test (Pre − Post).