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Page 2 of 10  Original Research


              Materials and methods                                 by running  data quality checks in REDCap and STATA

              Study design and setting                              (quantitative data). For the closed-ended questions, we assessed
                                                                    the association between outcome variables and selected socio-
              This was a cross-sectional study conducted between July and   demographic and health-related characteristics. Pearson’s chi-
              August 2018 in a sub-population of patients receiving second-  squared test was used to assess trend associations between
              line ART at the end of June 2018. Five public health facilities in   categorical variables. Continuous data were summarised and
              inner-city Johannesburg (two hospitals, one community health   analysed using the median and interquartile ranges (IQRs).
              centre and two primary healthcare clinics) were included in the   Logistic and multiple logistic regression models (bivariate and
              study.                                                multivariate  logistic  regression)  were  built  for  key  outcome
                                                                    variables, such as viral load, difficulties in taking second-line
              Study population                                      regimen and side effects, to identify independent predictors.
                                                                    We reported unadjusted and adjusted odds ratios (ORs), 95%
              The study population comprised patients aged 18 years and   confidence interval (CI) and p-values – p-values that were less
              older who were on second-line ART for at least 1 month or   than 0.05 were considered significant. Open-ended questions
              longer.                                               were analysed using qualitative data analysis methods. Data
                                                                    were coded and thematic analysis was performed. Where
              Data collection                                       appropriate, quotations have been included to support the
                                                                    reported results.
              Sample selection and recruitment
              We randomly sampled 10% of the population of 1500 eligible   Ethical consideration
              patients. The total number of active patients on second-line
              treatment per facility was divided by the total sample size   Ethical approval to conduct the study was obtained from the
              (n = 150) to determine the interval that needed to be used to   University of the Witwatersrand Human Research Ethics
              select the eligible patients. Using this formula, every  nth   Committee (ethical clearance number: M170691).  Approval
              (different for each facility) record from the register or list of   was also granted by the Johannesburg Health District (DRC
              active patients on second-line treatment in each facility was   Ref No. 2017-08-003 and NHRD Ref No. GP_201708_030).
              selected and recruited to the study until the facility sample   Participants were informed that participation in the study was
              size was reached. Once the eligible patients were identified,   voluntary and that refusal would not affect their relationship
              they were invited to participate in the study in one of the two   with their healthcare provider or facility.  All patients who
              ways: telephonically or in facility recruitment where   agreed to participate in the study signed an informed consent
              researchers met them at the facility during their scheduled   form. To ensure confidentiality, there were no linkages between
              clinic visit. For the patients who refused to participate in the   the data collected in the questionnaire and the patients’ clinic
              study, the next nth patient was recruited.            information. Participants were reimbursed for their travel.

              Data collection, tool and variables                   Results
              A pretested semi-structured questionnaire was used, which   Sample characteristics
              consisted of five sections: (1) demographic data, (2)
              comorbidity  information,  (3)  human  immunodeficiency   A total of 150 out of 1500 active patients on second-line ART
              virus (HIV) diagnosis and care information, (4) experiences   across the five public health facilities were interviewed
              on the first-line regimen and adherence and (5) experiences   (69.1%,  n  =  103  women).  During  the  quality  checking
              on second-line regimen and adherence. Information collected   processes, we found that one of the participants was younger
              included demographic information (facility name, sex, age,   than 18 years and was subsequently omitted from the analysis.
              relationship status, employment status and education level),   The median age of the participants was 42 years (IQR 36–47
              comorbidity information,  experiences  on  both  first-  and   years). Most of the participants were single (38.1%, n = 57);
              second-line treatment, disclosure information, duration on   30.2% (n = 45) participants were married. Nearly two-thirds of
              ART, reasons for starting  ART, side effects, self-reported   the participants were born in South Africa (61.1%,  n =  91),
              treatment interruptions, challenges with taking second-line   whilst almost one-third of the participants were born in
              treatment, treatment supporter information and insights   Zimbabwe (32.9%, n = 49). The majority (87.2%, n = 130) of
              into how adherence could be improved.                 participants had completed at least their secondary or high
                                                                    school-level education. A minority (8.1%, n = 12) of participants
                                                                    had completed tertiary qualifications; 4.7% (n = 7) participants
              Questionnaire administration
                                                                    had never attended a school. Of the total participants, 45.6%
              Data were collected by the principal investigator and a   (n = 68) were unemployed. The majority of participants were
              trained research assistant. The interviews were conducted in   identified as Christian (87.9%, n = 131). Hypertension (65.1%,
              English as it was the most commonly spoken language in the   n = 28/43), diabetes (9.3%, n = 4/43) and hypercholesterolaemia
              study setting and all participants could speak it.    (9.3%,  n =  4/43) were the most common concomitant
                                                                    conditions reported by the participants. The average distance
              Data entry, cleaning and analysis                     travelled to reach a health facility was 5 km (IQR: 2 km – 15
              Data were captured into REDCap immediately after interviews   km), with 57.7% (n = 86) participants travelling 5 km or less to
              were conducted. The research team conducted data clean-up   reach the health facility.

                                           http://www.sajhivmed.org.za 284  Open Access
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