Enhancing health outcomes for Maori elders through an intergenerational cultural exchange and physical activity programme: a cross-sectional baseline study.

Background: The study offers baseline data for a strengths-based approach emphasizing intergenerational cultural knowledge exchange and physical activity developed through a partnership with kaumatua (Maori elders) and kaumatua service providers. The study aims to identify the baseline characteristics, along with correlates of five key outcomes. Methods: The study design is a cross-sectional survey. A total of 75 kaumatua from six providers completed two physical functioning tests and a survey that included dependent variables based in a holistic model of health: health-related quality of life (HRQOL), self-rated health, spirituality, life satisfaction, and loneliness. Results: The findings indicate that there was good reliability and moderate scores on most variables. Specific correlates included the following: (a) HRQOL: emotional support (ß = 0.31), and frequent interaction with a co-participant (ß = 0.25); (b) self-rated health: frequency of moderate exercise (ß = 0.32) and sense of purpose (ß = 0.27); (c) spirituality: sense of purpose (ß = 0.46), not needing additional help with daily tasks (ß = 0.28), and level of confidence with cultural practices (ß = 0.20); (d) life satisfaction: sense of purpose (ß = 0.57), frequency of interaction with a co-participant (ß = -0.30), emotional support (ß = 0.25), and quality of relationship with a co-participant (ß = 0.16); and (e) lower loneliness: emotional support (ß = 0.27), enjoyment interacting with a co-participant (ß = 0.25), sense of purpose (ß = 0.24), not needing additional help with daily tasks (ß = 0.28), and frequency of moderate exercise (ß = 0.18). Conclusion: This study provides the baseline scores and correlates of important social and health outcomes for the He Huarahi Tautoko (Avenue of Support) programme, a strengths-based approach for enhancing cultural connection and physical activity.

Medication discrepancy rates among Medicaid recipients at hospital discharge.

OBJECTIVES: To compare the rate of discrepancies per patient for medications changed during hospitalization in patients with and without prescription provider comments at hospital discharge. Secondary objectives included comparing 35-day readmission rates, describing the overall medication discrepancy rate stratified by age group and type of discrepancy, collecting average number of medication changes, and reporting percentage change in admission medications at discharge. METHODS: This single-center prospective cohort included NC Medicaid recipients discharged from East Carolina University Family Medicine service from November 1, 2015, to January 31, 2016. Patients were assigned to a group based on presence or absence of provider comments on discharge prescriptions. Outpatient pharmacy claims were compared with the discharge summary to identify medication discrepancies. Medication discrepancy rates between groups were to be compared by means of independent-samples t test. Medication discrepancy rates were compared according to 35-day readmission status, age group, and type of discrepancy by means of independent-samples t tests and analysis of variance. Descriptive statistics were used for other secondary outcomes. RESULTS: Of 118 patients included, only 1 had provider comments. Therefore, a medication discrepancy rate comparison was not performed. Patients had a mean of 4 medication changes made to their regimen and 21.3% change in admission medications. Sixty-one percent of patients had at least 1 medication discrepancy, with an overall rate of 1.19. Patients readmitted within 35 days had a significantly greater medication discrepancy rate than those not readmitted (1.63 vs. 1.05, respectively; P = 0.044). Patients 18-49 years of age had the highest discrepancy rate and those older than 80 years of age the lowest (1.58 and 0.50, respectively). New or changed discharge medication not filled accounted for 69% of discrepancies. CONCLUSION: Although medication discrepancies were common, use of provider comments was rare. Future studies should address more effective ways to communicate pertinent information to community pharmacists and methods to improve adherence in obtaining new medications.

Physical activity and postprandial lipidemia: are energy expenditure and lipoprotein lipase activity the real modulators of the positive effect?

Historically, the link between elevated cholesterol and increased risk of cardiovascular disease has been based on fasting measurements. This is appropriate for total, low-density lipoprotein and high-density lipoprotein cholesterol. However, triglyceride concentrations vary considerably throughout the day in response to the regular consumption of food and drink. Recent findings indicate that postprandial triglyceride concentrations independently predict future cardiovascular risk. Potential modulators of postprandial lipidemia include meal composition and physical activity. Early cross sectional studies indicated that physically active individuals had a lower postprandial lipidemic response compared to inactive individuals. However, the effect of physical activity on postprandial lipidemia is an acute phenomenon, which dissipates within 60 h of a single bout of exercise. Total exercise induced energy expenditure, rather than duration or intensity of the physical activity is commonly reported to be a potent modulator of postprandial lipidemia. However, the pooled results of studies in this area suggest that energy expenditure exerts most of its influence on fasting triglyceride concentrations rather than on the incremental change in triglyceride concentrations seen following meal consumption. It seems more likely that energy expenditure is one component of a multifactorial list of mediators that may include local muscle contractile activity, and other yet to be elucidated mechanisms.