Time-to-onset of treatment for hypertension and hyperlipidaemia in South African diabetes mellitus patients: A survival analysis using medicine claims data.

WHAT IS KNOWN AND OBJECTIVE: Hypertension and hyperlipidaemia have high prevalence among diabetics and increase patients' risk of cardiovascular diseases, ultimately affecting prognosis negatively. Medicine claims data have gained prominence in the study of drug-related events and outcomes. There is paucity of publications on the time-to-onset of treatment for these conditions among South African diabetics using secondary data. This study aims to determine the time-to-onset of treatment for hypertension and hyperlipidaemia among diabetics using a South African medicine claims data. METHODS: Survival analysis was conducted using retrospective data of patients enrolled continuously with a Pharmaceutical Benefit Management (PBM) company in South Africa from 1 January 2008 to 31 December 2016. We identified patients based on International Classification of Diseases, Tenth Revision (ICD-10) diagnoses codes for type 2 diabetes mellitus (E11) who were receiving antidiabetic medication according to the National Pharmaceutical Product Index (NAPPI) codes provided by the Monthly Index of Medical Specialities (MIMS) classification code 19.1 (N = 2996). Among these patients, we then selected those who had ICD-10 codes for hypertension (I10, I11, I12, I13, I15, O10 and O11) who were receiving antihypertensive medications, and those who had hyperlipidaemia (E78.5), who received antihyperlipidaemics during the study period. Data were extracted using SAS® system version 9.4 classification codes. The Kaplan-Meier approach, used to compare the survival experience of patients who commenced treatment for hypertension and hyperlipidaemia, was conducted using IBM® SPSS® version 25. The time to the commencement of treatment of hypertension and hyperlipidaemia among the diabetics were measured in days. With 2008 serving as the index year, we followed up on patients until 31 December 2016. RESULTS AND DISCUSSION: A total of 494 patients with an average age of 53.5 (SD 11.1) years were included in the study, 34.8% of whom were females. Prevalence of hyperlipidaemia and hypertension among patients were 35.0% and 45.6%, respectively. Average time-to-onset of treatment for hyperlipidaemia was 2684.4 (SD 42.2) days compared to 2434.2 (SD 47.6) days for hypertension. There was no statistically significant difference in age and sex among patients who started treatment for either of these conditions during the study (P = 0.404; Cohen's d = 0.132 for hyperlipidaemia and P = 0.644, Cohen's d = 0.059 for hypertension). WHAT IS NEW AND CONCLUSION: Within an average of 6 years after an index period of 1 year free of disease, diabetics may commence treatment for hyperlipidaemia, hypertension or both. With all significant data appropriately captured, medicine claims data can be effectively used in survival analysis to determine time-to-onset of treatment for hyperlipidaemia and hypertension among diabetics.

Public hospital pharmacists' knowledge, attitudes, and practices for antibiotic stewardship implementation in Limpopo Province, South Africa.

BACKGROUND: Hospital pharmacists are important in antibiotic stewardship programs (ASP), a global strategy to combat antibiotic resistance (ABR). South African public hospitals have limited ASP implementation. This study describes Limpopo Provincial Hospital pharmacists' knowledge, attitudes, and practice toward ASP implementation. METHOD: A questionnaire to explore pharmacists' knowledge, attitudes and practices regarding ASP implementation comprised 43 questions hosted online. A link was sent by invitation e-mail to eligible respondents in November 2021. Five questions on respondents' demographics, 15 questions on ASP knowledge, 10 Likert scale questions on attitude, and 13 on ASP practices were included. Mean (standard deviation (SD)) knowledge and attitude scores and a median (interquartile range (IQR)) practice score was calculated. Associations between categorical variables were assessed using chi-square/Fisher's exact analysis (p < 0.05), with Cramér's V as effect size. RESULTS: The survey yielded 35 responses (13.1%). Twenty (57.1%) respondents were female. Seventeen (48.6%) respondents were between the ages of 31 and 40 years. The mean knowledge score of respondents was 9.8 (2.6) (N = 34), with knowledge gaps on One Health and socioeconomic determinates of ABR. Ten (29.6%) respondents thought One Health discouraged multi-sector collaboration, and nineteen (55.9%) respondents thought ASP was the only strategic response to ABR. Sixteen (47.1%) respondents did not know that poor access to clean water accelerates ABR and seventeen (50.0%) did not know that poverty could be a determinant for antibiotic use. The mean respondent attitude score was 8.0 (1.7) (N = 28). Twenty-seven (96.4%) respondents agreed that ASP was necessary and agreed to participate in ASP respectively. All 28 (100.0%) respondents agreed to lead an ASP. The median (IQR) respondents' practice score was - 2.0 (IQR: -6.0-5.8) (N = 16). Respondents were inconsistently (never, sometimes, every time) participating in multi-disciplinary forums (6/16, 37.5%) and expressed a desire for training (11/13, 84.6%) on ASP through in-service (7/27, 25.9%). Respondents thought ASP training should include medical officers (12/29, 41.4%) and nurses (9/29, 31.8%). Knowledge score was associated with gender (p = 0.048; V = 0.416) and attitude score (p = 0.013; V = 0.556). CONCLUSION: Our study found pharmacists had good knowledge and a positive attitude toward ASP implementation but poor ASP practices. A multi-disciplinary in-service training could address identified knowledge and practice gaps.

Antibiotic prescribing to inpatients in Limpopo, South Africa: a multicentre point-prevalence survey.

BACKGROUND: Electronic continuous surveillance databases are ideal for monitoring antibiotic use (ABU) in hospitalised patients for antibiotic stewardship programmes (ASP). However, such databases are scarce in low-resource settings. Point prevalence surveys (PPS) are viable alternatives. This report describes ABU and identifies ASP implementation improvement areas in Limpopo Province, South Africa. METHODS: This cross-sectional descriptive study extracted patient-level ABU data from patients' files using a modified global PPS tool. Data were collected between September and November 2021 at five regional hospitals in Limpopo Province, South Africa. All patients in the wards before 8 a.m. on study days with an antibiotic prescription were included. Antibiotic use was stratified by Anatomic Therapeutic Chemical and Access, Watch, Reserve classifications and presented as frequencies and proportions with 95% confidence intervals (CI). Associations between categorical variables were assessed using the chi-square test. Cramér's V was used to assess the strength of these associations. RESULTS: Of 804 inpatients surveyed, 261 (32.5%) (95% CI 29.2-35.7) were prescribed 416 antibiotics, 137 were female (52.5%) and 198 adults (75.9%). One hundred and twenty-two (46.7%) patients received one antibiotic, 47.5% (124/261) received two, and 5.7% (15/261) received three or more antibiotics. The intensive care units had a higher ABU (68.6%, 35/51) compared to medical (31.3%, 120/384) and surgical (28.5%, 105/369) wards (p = 0.005, Cramér's V = 0.2). Lower respiratory tract infection (27.4%, 104/379), skin and soft tissue infections (SST) (23.5%, 89/379), and obstetrics and gynaecology prophylaxis (14.0%, 53/379) were the common diagnoses for antibiotic prescriptions. The three most prescribed antibiotic classes were imidazoles (21.9%, 91/416), third-generation cephalosporins (20.7%, 86/416) and combination penicillin (18.5%, 79/416). Access antibiotics accounted for 70.2% (292/416) of prescriptions and Watch antibiotics for 29.6% (123/416) (p = 0.110, Cramér's V = 0.1). Reasons for prescribing and treatment plans were documented in 64.9% (270/416) (95% CI 60.3-69.5) and 21.4% (89/416) (95% CI 17.3-25.3) of prescriptions, respectively. CONCLUSIONS: The study serves as a baseline for ABU surveillance at the five regional hospitals in Limpopo Province. Lack of documentation indicates poor prescribing practices; ASP should address gaps by deploying evidence-based, multifaceted and stepwise interventions.