MétaCan
Menu
Back to cohort
Record W6908259115 · doi:10.25904/1912/4574

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

2022· other· en· W6908259115 on OpenAlexaboutno aff

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSocial impact assessmentPsychological interventionImpact assessmentHealth promotionSocial determinants of healthCitizen journalismSocial marketingGeneral partnershipPromotion (chess)

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.599
metaresearch head score (Gemma)0.480
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.599
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5990.480
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0070.007
Science and technology studies0.0120.027
Scholarly communication0.0230.026
Open science0.0070.029
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.470
GPT teacher head0.576
Teacher spread0.106 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGriffith Research Online (Griffith University, Queensland, Australia)French-language works237,207