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Enregistrement W6908259115 · doi:10.25904/1912/4574

Social Impact Assessment: Engaging in Participatory Evaluation - Implications and Practice

2022· other· en· W6908259115 sur OpenAlexaboutno aff

Notice bibliographique

RevueGriffith Research Online (Griffith University, Queensland, Australia) · 2022
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial impact assessmentPsychological interventionImpact assessmentHealth promotionSocial determinants of healthCitizen journalismSocial marketingGeneral partnershipPromotion (chess)

Résumé

récupéré en direct d'OpenAlex

This social marketing evaluation project explores how a research and industry partnership can develop an approach to evaluation to understand the social impact of health promotion intervention. This thesis proposes the need for a participatory approach to Social Impact Assessment (SIA). Specifically, this research project sought to understand: first, how social impact is considered and measured with health promotion interventions in four comparable Commonwealth contexts (Australia, Canada, New Zealand, and the United Kingdom); and second, how an Australian NGO may (or may not be) delivering social impact within health promotion and how an SIA assessment may add insight into social impact measurement within health promotion. This research implemented the SIA methodology of Social Return on Investment (SROI) to evaluate the social impact of an NGO Health Promotion program aiming to help children make safe and healthy life choices (Lane & Devin, 2018; McHugh, Domegan, & Duane, 2018). While a Theory of Change (ToC) or program logic is essential for effective measurement of the outcomes or effects of interventions (Breuer, Lee, De Silva, & Lund, 2016; Hamdani et al., 2021; Meiksin et al., 2021), as a standalone process it is insufficient to understand the intricacies of social change. To understand intervention mechanisms of behaviour change—where and how social change (has or has not occurred)—there is a need to implement a measurement process that captures the broader social and economic determinants of health. These wider determinants extend beyond the current linear outcome focus of ToC, which shows a sequential approach to behaviour change along a social impact chain or program logic (Mayne, 2015; McHugh et al., 2018). This thesis proposes a participatory approach to SIA enabling a reflexive approach to evaluation that allows a deeper understanding of the complexities of how children make healthy life choices. Furthermore, a participatory approach enables program outcomes and evaluation to accurately attribute long-term behaviour change to interventions (Arkesteijn, Van Mierlo, & Leeuwis, 2015). Achieving reflexivity in SIA requires a relational approach to stakeholder engagement, which is often non-linear and iterative, throughout the program or intervention (Esponda et al., 2021; Lane & Devin, 2018; Missonier, 2014). Accordingly, this research highlighted the need to close the gap between theoretical and practitioner knowledge and application. Consequently, two processes should be embedded into intervention design, implementation, and measurement for social impact to be effectively measured in behaviour change interventions. The first is theory use, since theories may extend program outcomes by focusing on constructs known to cause specific behaviours (Abraham et al., 2015; Hardeman et al., 2005; Michie et al., 2011). The second process is deepening essential stakeholder involvement throughout interventions (Dabravolskaj et al., 2020; Hurley, Dietrich, & Rundle-Thiele, 2019) to understand the value of improved health behaviours and outcomes for school community stakeholders such as students, schools, and parental school communities. Subsequently, the fundamental motivation of this thesis was: To examine social impact within primary school health promotion interventions from design to evaluation and understand the role of Social Impact Assessment in contributing to more effective behaviour change interventions within health promotion. A systematic review was conducted, which sought to examine the role of social impact assessment within primary school health promotion interventions. This review considered four comparable Commonwealth countries, Australia, Canada, New Zealand, and the United Kingdom, and aimed to answer the following research question: To what extent has the social impact been considered and evaluated in health promotion interventions in primary school contexts in Australia, Canada, New Zealand, and the United Kingdom? The review found 77 studies representing 55 health promotion interventions delivered in primary school settings. Only eight (15%) measured or attempted to measure the social impact of these interventions, while another eight (15%) alluded to social impact. The prevailing theories reported were social-based theories (theories which examine the social influences on people, environments, and behaviours) (n = 17, 59%), and almost a third of interventions were not informed by an overt health promotion framework or model (n = 34, 59%). A systematic rating system was applied to identify stakeholder engagement (n = 30, 53%). The review highlighted the lack of social impact measurement within health promotion and indicated that social impact is poorly understood in the reviewed academic literature. Study 2 was a Social Return on Investment (SROI) Baseline, which measured the social impact of two NGO Health Promotion modules. This study examined the strengths and limitations of applying social impact measurement within a primary school health promotion intervention. The second research question asked how the application of an SIA, specifically an SROI, contributes insights into the strengths and limitations of social impact measurement within a specific primary school health promotion context. This question explored the theoretical and practical insights social impact assessment (SIA) contributes to estimating social impact within a particular context—specifically, two health promotion modules delivered by [redacted] ([redacted]). The purpose was to apply SIA to understand what community benefits (if any) can be derived from health promotion program delivery, and assess what outcomes and social impact could reasonably be expected from a 90-minute health education module. Although study 2’s findings indicated the strengths of applying an SIA to health promotion, specifically, Social Return on Investments (SROI), there is still a long way to go in both theory and application. The SROI conducted on the two modules demonstrated a positive social impact for the two 90-minute modules. However, this effect dropped off over time. Overall, this research contributes to bridging the divide between academic and practitioner-informed behaviour change interventions. Notwithstanding its predominant health promotion focus, the theoretical parallels and convergences with social marketing are considered, suggesting implications for more robust theory-informed health promotion interventions. This thesis proposes an iterative participatory process involving key stakeholders as salient to the provision of evidence beyond intervention outputs and outcomes. To measure the social impact of an intervention beyond nominal indicators requires a shift in what is measured within behaviour change interventions—individual determinants—to the broader social and economic determinants of health. From a practitioner perspective, key stakeholders must be involved in longer-duration interventions from design through implementation and evaluation. This thesis advocates for a better understanding of social impact relevant to applied settings to more clearly evidence the value of behaviour change interventions demonstrating beyond doubt how ‘wicked problems’ are reduced.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,599
score de la tête « metaresearch » (Gemma)0,480
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,599
Score d'incertitude au seuil0,495

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,5990,480
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0070,007
Études des sciences et des technologies0,0120,027
Communication savante0,0230,026
Science ouverte0,0070,029
Intégrité de la recherche0,0070,011
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,470
Tête enseignante GPT0,576
Écart entre enseignants0,106 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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