Open AccessMeasuring Community Strengths – Using Data from The First Nations Regional Health Survey Linked with A Whole-Population Administrative Data Repository
Author(s) -
Nathan Nickel,
Wanda Phillips-Beck,
Rhonda Campbell,
Dan Château,
Joykrishna Sarkar,
Mariette Chartier,
Jennifer Enns,
Elaine Burland,
Farzana Quddus,
Marni Brownell
Publication year - 2020
Publication title -
international journal of population data science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.602
H-Index - 7
ISSN - 2399-4908
DOI - 10.23889/ijpds.v5i5.1636
Subject(s) - construct (python library) , community health , population , strengths and weaknesses , survey data collection , psychology , environmental health , gerontology , public health , medicine , social psychology , nursing , statistics , computer science , mathematics , programming language
IntroductionAdministrative data studies routinely report that First Nations mothers and children experience a disproportionate burden of poor health. Due to the nature of administrative data, research often takes a deficits-oriented approach. First Nations health research needs to consider the role that community- and individual-level strengths play in promoting wellbeing and examine how these interact with the delivery and outcomes of health programs.
Objectives and ApproachThe First Nations Health and Social Secretariat of Manitoba (FNHSSM) and the University of Manitoba partnered to construct measures of community-level strengths that can be linked with administrative data to examine the delivery and outcomes associated with population health programs delivered in First Nations communities.
We linked data from the FNHSSM-administered Regional Health Survey (RHS) with administrative data housed in the Manitoba Population Research Data Repository. We identified 60 questions from the child, youth, and adult versions of the RHS to measure community strengths. We used principal component analysis to identify strength-based constructs. We used Eigen values and percent of variance explained to determine the final number of factors. We used random group resampling and bootstrap methods to test for community-level homogeneity. Community-level factor scores were calculated as the scaled combination of RHS questions within each factor and averaged to the community.
ResultsWe identified 12 constructs of community strength: 5 from child responses, 4 from youth, and 3 from adult responses. Strength-based constructs common to all age groups included knowledge of traditional language, involvement in cultural events, and connection with community.
Conclusion / ImplicationsColonial approaches to health research perpetuate deficit-based dialogues and negative portrayal of First Nations peoples. First Nations health research should consider how community strengths promote health and interact with program delivery. Including measures of community strength leads to richer understandings of factors that promote wellness among First Nations peoples.