We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure [email protected]
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Community-engaged research/community-based participatory research/patient-engaged research (CEnR/CBPR/PEnR) are increasingly recognized as important approaches for addressing health equity. However, there is limited support for CEnR/CBPR/PEnR within Academic Health Centers (AHCs). It is important for AHCs to measure and monitor the context, process, and policies in support for CEnR/CBPR/PEnR. The Engage for Equity (E2) team developed the first Institutional Multi-Sector Survey (IMSS) instrument to assess and explore CEnR/CBPR/PEnR-related practices at three AHCs.
Methods:
Working with “champion teams” consisting of academic leaders, researchers, and patient/community partners at each AHC, we developed the IMSS to assess the following domains: institutional mission, vision, and values; CEnR/CBPR/PEnR policies/practices; community processes/structures; function of formal community advisory boards; climate/culture for CEnR/CBPR; perceptions of institutional leadership for CEnR/CBPR/PEnR. The survey was piloted to a convenience sample of CEnR/CBPR/PEnR participants at each AHC site.
Results:
A sample aggregated across all sites consisting of community (n = 49) and academic (n = 50) participants perceived high levels of advocacy for CEnR/CBPR/PEnR among their AHC research teams. Participants indicated that institutional leadership supported CEnR/CBPR/PEnR in principle, but resources to build CEnR/CBPR/PEnR capacity at their respective institutions were lacking. Differences in responses from community and academic partners are summarized.
Conclusions:
While limited by survey length and question adaptation, the findings contribute to identification of institutional barriers and facilitators to CEnR/CBPR/PEnR in AHCs. These findings are critically important to support and improve CEnR/CBPR/PEnR practice in academic institutions and to elevate community partner voices and needs for advancing community and patient partners’ research.
To use cognitive interviewing and pilot testing to develop a survey instrument feasible for administering in the food pantry setting to assess daily intake frequency from several major food groups and dietary correlates (e.g. fruit and vegetable barriers) – the FRESH Foods Survey.
Design:
New and existing survey items were adapted and refined following cognitive interviews. After piloting the survey with food pantry users in the USA, preliminary psychometric and construct validity analyses were performed.
Setting:
Three US food banks and accompanying food pantries in Atlanta, GA, San Diego, CA, and Buffalo, NY.
Participants:
Food pantry clients (n 246), mostly female (68 %), mean age 54·5 (sd 14·7) years.
Results:
Measures of dietary correlates performed well psychometrically: Cronbach’s α range 0·71–0·90, slope (α) parameter range 1·26–6·36, and threshold parameters (β) indicated variability in the ‘difficulty’ of the items. Additionally, all scales had only one eigenvalue above 1·0 (range 2·07–4·71), indicating unidimensionality. Average (median, Q1–Q3) daily intakes (times/d) across six dietary groups were: fruits and vegetables (2·87, 1·87–4·58); junk foods (1·16, 0·58–2·16); fast foods and similar entrées (1·45, 0·58–2·03); whole-grain foods (0·87, 0·58–1·71); sugar-sweetened beverages (0·58, 0·29–1·29); milk and milk alternatives (0·71, 0·29–1·29). Significant correlations between dietary groups and dietary correlates were largely in the directions expected based on the literature, giving initial indication of convergent and discriminant validity.
Conclusions:
The FRESH Foods Survey is efficient, tailored to food pantry populations, can be used to monitor dietary behaviours and may be useful to measure intervention impact.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.