With increasing value being placed on patient-centered care and the focus on efficiency and workflow in health care delivery, the authors have implemented a web-based system for demographic, medical history, and patient-reported outcomes data collection for every clinical visit at their specialty upper-extremity center. They evaluated initial success and disparities in use after 12 months. The authors evaluated questionnaire parameters from 2018 patients, focusing primarily on the new patient intake form. They analyzed form-completion time relative to appointment time and form-completion percentage at various times before the appointment. The authors grouped patients by age, sex, race, income, education, employment status, transportation access, self-reported pain, and quality-of-life scores. Waiting room time was evaluated. Of new patients, 94% used the web-based platform to complete the intake form. Of the 4898 completed forms, 69.7% were done more than 1 hour before appointment time, indicating that a personal device was used. When grouped by patient characteristics and controlling for all demographic factors, patients who were male, non-White, and older than 40 years; had lower family income; and had a high school education or less were significantly associated with later form completion. Of the 1136 patients for whom the authors had adequate waiting room time data, late form completion significantly increased odds of waiting more than 15 minutes to be placed into an examination room. These data indicate that the authors are reliably capturing important patient information before appointment time. This could improve clinical workflow and overall quality of care and also identify limits in access and online system use, providing opportunities to improve capture by developing targeted interventions for specific patient populations. [ Orthopedics . 2021;44(3):e434–e439.]
Purpose Little is known whether mothers own care use is differentially associated with their adolescents’ routine care use by gender. This study’ main purpose is to examine whether mothers’ healthcare use prospectively predicts their adolescents’ routine care use stratified by gender, after controlling for predisposing (child’s age, race/ethnicity, region of residence, urbanicity, mother’s age at child’s birth), enabling (mother’s education, adolescent and mother health insurance), and need (child health status) factors. Methods In 2018, a prospective analysis was conducted using data from 5,040 adolescents aged 9–24 and their mothers who completed the two-generation National Longitudinal Survey of Youth (NLSY) in 2006 (first interview) and 2008 (second interview). Findings include percentages and adjusted odds ratios of the factors that predict adolescents’ self-report of a routine care use in the past year measured at the second interview. Results In 2008, over half of participants reported a routine doctor visit during the prior 12 months and this varied by gender; more females (68.7%) had a visit than males (53.5%). Factors that independently predicted a greater odds of adolescents’ routine doctor visits included mothers with routine doctor visits at both interviews or the second interview only, and adolescents’ health insurance and past routine visit, regardless of gender. Males aged 18–20 and 21–24 had lower odds of having a routine doctor visit than males aged 9–11. Conclusions This study provides evidence for the potential role that mothers’ care use can play in their adolescents’ routine care use, especially for their sons, independent of insurance status.
Background The aim of this analysis was to examine the influence of housing insecurity on diabetes processes of care and self-care behaviors and determine if that relationship varied by employment status or race/ethnicity. Methods Using nationally representative data from the Behavioral Risk Factor Surveillance System (2014-2015), 16,091 individuals were analyzed for the cross-sectional study. Housing insecurity was defined as how often respondents reported being worried or stressed about having enough money to pay rent/mortgage. Following unadjusted logistic models testing interactions between housing insecurity and either employment or race/ethnicity on diabetes processes of care and self-care behaviors, stratified models were adjusted for demographics, socioeconomic status, health insurance status, and comorbidity count. Results 38.1% of adults with diabetes reported housing insecurity. Those reporting housing insecurity who were employed were less likely to have a physicians visit (0.58, 95%CI 0.37,0.92), A1c check (0.45, 95%CI 0.26,0.78), and eye exam (0.61, 95%CI 0.44,0.83), while unemployed individuals were less likely to have a flu vaccine (0.84, 95%CI 0.70,0.99). Housing insecure White adults were less likely to receive an eye exam (0.67, 95%CI 0.54,0.83), flu vaccine (0.84, 95%CI 0.71,0.99) or engage in physical activity (0.82, 95%CI 0.69,0.96), while housing insecure Non-Hispanic Black adults were less likely to have a physicians visit (0.56, 95%CI 0.32,0.99). Conclusions Housing insecurity had an influence on diabetes processes of care and self-care behaviors, and this relationship varied by employment status and race/ethnicity. Diabetes interventions should incorporate discussion surrounding housing insecurity and consider differences in the impact by demographic factors on diabetes care.
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