Effect of adult day care centre attendance on hypertension management.

BACKGROUND:  Hypertension (HT) silently threatens one in three adults, especially older adults, who struggle with blood pressure (BP) control because of limited health access, poor adherence to medication and failure to make lifestyle changes. This increases their risk for heart disease, kidney failure and dementia. Fortunately, adult day care centres (ADCCs) offer hope. These community facilities provide daytime care, including health support services, social activities and exercise. This study investigated the perceived effect of adult daycare centre attendance on BP control and treatment adherence. METHODS:  A mainly descriptive study at MUCPP Community Health Centre (CHC) in Bloemfontein, South Africa, between July 2020 and September 2020, used questionnaires researchers completed during interviews. The researchers approached 372 hypertensive patients of a minimum of 60 years old and at least 2 years since being diagnosed. RESULTS:  Of the 90 who attended ADCCs, 71.1% had controlled hypertension compared to 51.4% of those who did not. While treatment adherence showed no difference, a positive association between ADCC attendance and BP control is evident. CONCLUSION:  The findings suggest a promising link between ADCC attendance and improved BP control in older adults with hypertension. Adult Day Care Centres warrant further exploration as it seems to be an encouraging support intervention for this vulnerable population.Contribution: This study highlights the positive impact ADCCs have on hypertension management in older adults, urging increased physician awareness and patient referrals.

Analytical methods used in estimating the prevalence of HIV/AIDS from demographic and cross-sectional surveys with missing data: a systematic review.

BACKGROUND: Sero- prevalence studies often have a problem of missing data. Few studies report the proportion of missing data and even fewer describe the methods used to adjust the results for missing data. The objective of this review was to determine the analytical methods used for analysis in HIV surveys with missing data. METHODS: We searched for population, demographic and cross-sectional surveys of HIV published from January 2000 to April 2018 in Pub Med/Medline, Web of Science core collection, Latin American and Caribbean Sciences Literature, Africa-Wide Information and Scopus, and by reviewing references of included articles. All potential abstracts were imported into Covidence and abstracts screened by two independent reviewers using pre-specified criteria. Disagreements were resolved through discussion. A piloted data extraction tool was used to extract data and assess the risk of bias of the eligible studies. Data were analysed through a quantitative approach; variables were presented and summarised using figures and tables. RESULTS: A total of 3426 citations where identified, 194 duplicates removed, 3232 screened and 69 full articles were obtained. Twenty-four studies were included. The response rate for an HIV test of the included studies ranged from 32 to 96% with the major reason for the missing data being refusal to consent for an HIV test. Complete case analysis was the primary method of analysis used, multiple imputations 11(46%) was the most advanced method used, followed by the Heckman's selection model 9(38%). Single Imputation and Instrumental variables method were used in only two studies each, with 13(54%) other different methods used in several studies. Forty-two percent of the studies applied more than two methods in the analysis, with a maximum of 4 methods per study. Only 6(25%) studies conducted a sensitivity analysis, while 11(46%) studies had a significant change of estimates after adjusting for missing data. CONCLUSION: Missing data in survey studies is still a problem in disease estimation. Our review outlined a number of methods that can be used to adjust for missing data on HIV studies; however, more information and awareness are needed to allow informed choices on which method to be applied for the estimates to be more reliable and representative.