Concept mapping as a method to enhance evidence-based public health

Bon-Martens, M.J.H. van; Goor, Ien A. M. van de; Oers, Hans van

doi:10.1016/j.evalprogplan.2016.08.014

Cited by 31 publications

(27 citation statements)

References 16 publications

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“…A more fully saturated concept to increase external validity might be achieved by repeating the same procedure several times, in different areas and with different groups. 17 Furthermore, in a concept mapping study, the possibility to examine what is meant by a certain statement or expression by the participants is relatively limited. In our study, this was particularly so as we decided not to involve the participants in the representation and interpretation stage, mainly for practical reasons.…”

Section: Discussionmentioning

confidence: 99%

Do conceptualisations of health differ across social strata? A concept mapping study among lay people

Stronks

Hoeymans²,

Haverkamp

et al. 2018

BMJ Open

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ObjectivesThe legitimacy of policies that aim at tackling socioeconomic inequalities in health can be challenged if they do not reflect the conceptualisations of health that are valued in all strata. Therefore, this study analyses how different socioeconomic groups formulate their own answers regarding: what does health mean to you?DesignConcept mapping procedures were performed in three groups that differ in educational level. All procedures followed exactly the same design.SettingArea of the city of Utrecht, the Netherlands.ParticipantsLay persons with a lower, intermediate and higher educational level (±15/group).ResultsThe concept maps for the three groups consisted of nine, eight and seven clusters each, respectively. Four clusters occurred in all groups: absence of disease/disabilities, health-related behaviours, social life, attitude towards life. The content of some of these differed between groups, for example, behaviours were interpreted as having opportunities to behave healthily in the lower education group, and in terms of their impact on health in the higher education group. Other clusters appeared to be specific for particular groups, such as autonomy (intermediate/higher education group). Finally, ranking ranged from a higher ranking of the positively formulated aspects in the higher education group (eg, lust for life) to that of the negatively formulated aspects in the lower education group (eg, having no chronic disease).ConclusionOur results provide indications to suggest that people in lower socioeconomic groups are more likely to show a conceptualisation of health that refers to (1) the absence of health threats (vs positive aspects), (2) a person within his/her circumstances (vs quality of own body/mind), (3) the value of functional (vs hedonistic) notions and (4) an accepting (vs active) attitude towards life.

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Section: Discussionmentioning

confidence: 99%

Do conceptualisations of health differ across social strata? A concept mapping study among lay people

Stronks

Hoeymans²,

Haverkamp

et al. 2018

BMJ Open

View full text Add to dashboard Cite

show abstract

“…Group Concept Mapping (GCM) is a participatory research and engagement method used to engage research stakeholders for diverse purposes such as triangulating care priorities [4, 5] and including hard to reach stakeholder perspectives [6]. It has also been used for concept elicitation and conceptual domain organization in PROM development [2].…”

mentioning

confidence: 99%

Eliciting patient-important outcomes through group brainstorming: when is saturation reached?

LaNoue

Gentsch

Cunningham

et al. 2019

J Patient Rep Outcomes

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Purpose Group brainstorming is a technique for the elicitation of patient input that has many potential uses, however no data demonstrate concept saturation. In this study we explore concept saturation in group brainstorming performed in a single session as compared to two or three sessions. Methods Fifty-two predominately African American adults patients with moderately to poorly controlled Diabetes Mellitus participated in three separate group brainstorming sessions as part of a PCORI-funded group concept mapping study examining comparing methods for the elicitation of patient important outcomes (PIOs). Brainstorming was unstructured, in response to a prompt designed to elicit PIOs in diabetes care. We combined similar brainstormed responses from all three sessions into a ‘master list’ of unique PIOs, and then compared the proportion obtained at each individual session, as well as those obtained in combinations of 2 sessions, to the master list. Results Twenty-four participants generated 85 responses in session A, 14 participants generated 63 in session B, and 14 participants generated 47 in session C. Compared to the master list, the individual sessions contributed 87%, 76%, and 63% of PIOs. Session B added 3 unique PIOs not present in session A, and session C added 2 PIOs not present in either A or B. No single session achieved >90% saturation of the master list, but all 3 combinations of 2 sessions achieved > 90%. Conclusions Single sessions elicited only 63-87% of the patient-important outcomes obtained across all three sessions, however all combinations of two sessions elicited over 90% of the master list, suggesting that 2 sessions are sufficient for concept saturation. Trial registration NCT02792777 . Registered 2 June 2016.

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“…The WU-CDTR used concept mapping as a tool to develop a conceptual framework to inform and refine future directions for diabetes translation research. Concept mapping has been used extensively across a variety of fields to advance and recommend research,18–21 educational methods,22 and healthcare approaches 23–25. It has also been used to create logic models for a national program,26 develop various state plans,27 28 and design chronic disease competencies 29.…”

Section: Discussionmentioning

confidence: 99%

Developing priorities to achieve health equity through diabetes translation research: a concept mapping study

Phad

Johnston

Tabak

et al. 2019

BMJ Open Diab Res Care

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IntroductionThe goal of diabetes translation research is to advance research into practice and ensure equitable benefit from scientific evidence. This study uses concept mapping to inform and refine future directions of diabetes translation research with the goal of achieving health equity in diabetes prevention and control.Research design and methodsThis study used concept mapping and input from a national network of diabetes researchers and public health practitioners. Concept mapping is a mixed-method, participant-based process. First, participants generated statements by responding to a focus prompt (“To eliminate disparities and achieve health equity in the prevention and treatment of diabetes, research should…”). Participants then sorted statements by conceptual similarity and rated each statement on importance and feasibility (Likert scale of 1–5). A cluster map was created using multidimensional scaling and hierarchical cluster analysis; statements were plotted by average importance and feasibility.ResultsTen clusters were identified containing between 6 and 12 statements from 95 total generated statements. The ranges of average importance and feasibility ratings for clusters were fairly high and narrow (3.62–4.09; 3.10–3.93, respectively). Clusters with the most statements in the “go-zone” quadrant (above average importance/feasibility) were community and partner engagement (n=7), dissemination and implementation principles (n=4), and enrichment and capacity building (n=4). Clusters with the most statements in the “innovative-targets” quadrant (above average importance, below average feasibility) included next generation interventions (n=6), policy approaches (n=4), and interventions for specific populations (n=4).ConclusionsThis study created a framework of 10 priority areas to guide current and future efforts in diabetes translation research to achieve health equity. Themes rated as highly important and feasible provide the basis to evaluate current research support. Future efforts should explore how to best support innovative-targets, those rated highly important but less feasible.

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Concept mapping as a method to enhance evidence-based public health

Cited by 31 publications

References 16 publications

Do conceptualisations of health differ across social strata? A concept mapping study among lay people

Do conceptualisations of health differ across social strata? A concept mapping study among lay people

Eliciting patient-important outcomes through group brainstorming: when is saturation reached?

Developing priorities to achieve health equity through diabetes translation research: a concept mapping study

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