Patient-perceived service needs and health care utilization in people with type 2 diabetes: A multicenter cross-sectional study

The aim of this study was to investigate service needs and health care utilization among people with type 2 diabetes, further to identify the relationship between service needs and health care utilization.We used a self-reported questionnaire to collect data regarding demographic and diabetes characteristics, service needs toward self-management and follow-up care, and 4 health care utilizations during past year. Multiple linear regression and binary logistic regression were used to test the impacts of demographic and diabetes characteristics on service needs and health care utilizations, respectively. Spearman rank correlations were used to explore correlation between service needs and health care utilization.We recruited 1796 participants with type 2 diabetes from 20 community health centers across 12 cities of Sichuan Province in China. Needs of self-management and follow-up had significant positive correlations with health care utilization. Participants rated that nutrition was the most needed aspects of self-management (78.5%), and out-patient visit was the most popular type of follow-up (66.8%). Educational level and treatment modality were predictors of self-management needs. Low educational level (elementary school or blow, β = 0.11, P = .008; middle school, β = 0.10, P = .015) and insulin treatment (β = 0.08, P = .007) were positive factors of self-management needs. Younger age (age < 45 years old, β = 0.07, P = .046), being employed (β = 0.14, P < .001), and underdeveloped region (β = 0.16, P < .001) were positive factors of follow-up care needs. Elementary educational level (OR: 0.53; CI: 0.30-0.96) and underdevelopment region (OR: 0.01; CI: 0.01-0.07) were protective factors of general practitioner visit, in contrast, those factors were risk factors of specialist visit (elementary educational level, OR: 1.69; CI: 1.13-2.5; underdevelopment region, OR: 2.93; CI: 2.06-4.16) and emergency room visit (elementary educational level, OR: 2.97; CI: 1.09, 8.08; underdevelopment region, OR: 6.83; CI: 2.37-14.65).The significant positive relationship between service needs and health care utilization demonstrated the role of service needs in influencing health care utilization. When self-management education is provided, age, educational level, employment status, treatment modality, and region should be considered to offer more appropriate education and to improve health care utilization.

Food Shopping Venues, Neighborhood Food Environment, and Body Mass Index Among Guyanese, Black, and White Adults in an Urban Community in the US

OBJECTIVE

To investigate relationships among food shopping venues, food environment, and body mass index (BMI).

DESIGN

Cross-sectional survey data and directly assessed food environment data were linked at the neighborhood level.

SETTING

Schenectady, NY.

PARTICIPANTS

A sample of Guyanese, black, and white adults (n = 226, 485, and 908, respectively).

MAIN OUTCOME MEASURES

BMI.

ANALYSIS

Linear regression models were constructed with 10 food shopping venues and neighborhood food environment as explanatory variables, controlling for sociodemographics, dietary behavior, physical activity, and perception of healthy food access.

RESULTS

On average, respondents used 3.5 different food shopping venues. Supermarkets and ethnic markets were associated with a lower BMI in Guyanese adults. Among black adults, farmers' markets were associated with a lower BMI, whereas supermarkets, wholesale clubs, and food pantries were associated with a higher BMI. Among white adults, food coops and supermarkets were associated with a lower BMI and wholesale clubs were associated with a higher BMI. Neighborhoods with less a favorable food environment (longer travel distance to a supermarket) were associated with a lower BMI in Guyanese adults.

CONCLUSIONS AND IMPLICATIONS

Both primary (ie, supermarkets) and secondary food shopping venues could be independent determinants of BMI. The observed variations by race and ethnicity provided insights into a culturally tailored approach to address obesity.