DESIGN: Cross-sectional validation study.
METHODS: We used data involving 3- and 4-year-olds from 13 middle- and high-income countries who participated in the SUNRISE study. We used Spearman's rank-order correlation, Bland-Altman plots, and Kappa statistics to validate parent-reported child habitual total physical activity against activPAL™-measured total physical activity over 3 days. Additionally, we used Receiver Operating Characteristic Area Under the Curve analysis to validate existing step-count thresholds (Gabel, Vale, and De Craemer) using step-counts derived from activPAL™.
RESULTS: Of the 352 pre-schoolers, 49.1 % were girls. There was a very weak but significant positive correlation and slight agreement between parent-reported total physical activity and accelerometer-measured total physical activity (r: 0.140; p = 0.009; Kappa: 0.030). Parents overestimated their child's total physical activity compared to accelerometry (mean bias: 69 min/day; standard deviation: 126; 95 % limits of agreement: -179, 316). Of the three step-count thresholds tested, the De Craemer threshold of 11,500 steps/day provided excellent classification of meeting the total physical activity guideline as measured by accelerometry (area under the ROC curve: 0.945; 95 % confidence interval: 0.928, 0.961; sensitivity: 100.0 %; specificity: 88.9 %).
CONCLUSIONS: Parent reports may have limited validity for assessing pre-schoolers' level of total physical activity. Step-counting is a promising alternative - low-cost global surveillance initiatives could potentially use pedometers for assessing compliance with the physical activity guideline in early childhood.
PURPOSE: This study aims to compare the cost, medication adherence and glycaemic control of utilizing POMs versus usual dispensing.
METHODS: Prospective randomized controlled study was conducted among diabetic patients that required monthly medication refill in the Outpatient Pharmacy in 2017. Patients who consented were equally divided into POMs and control groups. Both groups brought excess medications from home at week-0 and week-12. Patients in the POMs group brought excess medications monthly and sufficient amount of drugs were added until the next refill date. Drugs were dispensed as usual in the control group. Total cost consisting of the cost of drugs, staff and building was calculated. Glycosylated haemoglobin (HbA1c) was measured at baseline and week-12. Adherence was measured based on pill counting.
RESULTS: Thirty patients aged 56.77 ± 14.67 years with 13.37 ± 7.36 years of diabetes participated. Baseline characteristics were similar between the groups. POMs minimized the total cost by 38.96% which translated to a cost saving of USD 42.76 ± 6.98, significantly different versus USD 0.02 ± 0.52 in the control group, p = 0.025. Mean HbA1c reduced significantly (-0.79%, p = 0.016) in the POMs group but not significant in the control group (-0.11%, p = 0.740). Medication adherence improved significantly in both groups at week-12 (p cost saving, improved adherence and better glycaemic control. Use of POMs should be practiced in the outpatient pharmacy to reduce wastage and cost.