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Grant: Travel Awards - Institute Community Support

McGill University

$1,250.00

How robustly do we verify the assumptions of the causal inference framework? Qualitative methods can provide a more in-depth and informed assessment

EF 2018-19

Résumé
Ontario's introduction of Family Health Teams (FHTs) offers one of the largest examples of team-based primary care in North-America. However, up until now, evaluations of this new policy have not fully account for the methodological complexities linked with trying to disentangle the 'real' effect of belonging to a FHT from the differences between patients who go to a FHT versus other types of clinics. Recent developments in statistics have outlined specific conditions under which the cause of policy interventions like FHTs can be accurately determined. However, there is a lack of literature that shows how to assess these conditions and make informed decisions about the level of causal evidence that can be drawn from the data. This study presents a novel way to testing these conditions by using formal interviews with key stakeholders. This qualitative approach gives additional evidence on whether the conditions hold or are being violated, above and beyond, what can be found in the literature. Overall, this research will help provide one of the most accurate assessments of a Canadian primary care policy reform to date. It will show how qualitative methods can be used to inform and strengthen quantitative methods, specifically for the evaluation of health policies. More broadly, it will provide a roadmap for other researchers on how to strengthen the claims of their policy or intervention studies.
Programme
Travel Awards - Institute Community Support
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
400046
Name
Sourial Nadia
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Institute of Health Services and Policy Research
Projecttitle
How robustly do we verify the assumptions of the causal inference framework? Qualitative methods can provide a more in-depth and informed assessment
Programtype2
Undefined
Orgnameinp2
McGill University
Cihramount2
$1,250
Cihrequipment2
$0
Programname2
Travel Awards - Institute Community Support
Keyworddelim
Ics Travel Awards
Abstract
Ontario's introduction of Family Health Teams (FHTs) offers one of the largest examples of team-based primary care in North-America. However, up until now, evaluations of this new policy have not fully account for the methodological complexities linked with trying to disentangle the 'real' effect of belonging to a FHT from the differences between patients who go to a FHT versus other types of clinics. Recent developments in statistics have outlined specific conditions under which the cause of policy interventions like FHTs can be accurately determined. However, there is a lack of literature that shows how to assess these conditions and make informed decisions about the level of causal evidence that can be drawn from the data. This study presents a novel way to testing these conditions by using formal interviews with key stakeholders. This qualitative approach gives additional evidence on whether the conditions hold or are being violated, above and beyond, what can be found in the literature. Overall, this research will help provide one of the most accurate assessments of a Canadian primary care policy reform to date. It will show how qualitative methods can be used to inform and strengthen quantitative methods, specifically for the evaluation of health policies. More broadly, it will provide a roadmap for other researchers on how to strengthen the claims of their policy or intervention studies.
Competitiondate
201901
Approvedterm2
1 yr 0 mth
Pinamesdelim
Sourial, Nadia
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Hlth Serv & Policy Res~ $1,250~ $0~