Clinic attendance by sex and HIV status in rural South Africa - Data and Code

Permanent Identifier

https://doi.org/10.17037/DATA.00002130

Description

Research outputs associated with a study to determine the frequency of Primary Healthcare Clinic (PHC) attendance among HIV-negative men in a TB-prevalent setting. The collection is comprised of a tabular data set that contains routine information on clinic attendance in a demographic surveillance site, a STATA do-file that contains code used to analyse primary clinic visits data, and supporting documentation. These files may be used to reproduce the results in Table 1, Table 2 and Table 3 in a paper titled "Can we find the missing men in clinics? Clinic attendance by sex and HIV status in rural South Africa".

Clinic_visits_code.do

The code in this do-file is used to analyze the primary clinic visits data that reproduces the results in Table 1, Table 2 and Table 3 in the paper. The script is outlines as follows.

Import the .csv clinic visits dataset, line 26.
Data preparation lines 34 - 50.
Runs lines 57 - 114 to represent the results in Table 1.
Runs lines 124 - 237 to represent the results in Table 2.
Runs lines 246 - 325 to represent the results in Table 3.

clinic visits dataset

Contains different variables such as id, age, sex, hivstatus, unique id indicator (unique_id_indicator), visit indicator (visit_indicator), unique visit indicator per participant (unique_visit_indicator), total number of visits (total_visits), Reasons for visiting PHC (reason_visits_cat).

The unique_id_identifier and unique_visit_identifier variables are flags to mark one observation for each person and for each person with a clinic visit, respectively, in order to generate the tables. Since the dataset has >1 observation for the individuals that attended the clinic (one observation for each visit), these indicators allow the data to be summarised (e.g. total number of individuals, total number with at least one clinic visit) without having to collapse or otherwise process it. The 1 marks the observation to be counted in the table, and the indicator for other observations is set to 0.

Variable Name	Variable Label	Answer Label	Answer Code	Variable Type
id	Participant ID. Participant ID is associated with each clinic visit			Integer
age	Age of participant			Integer
		Not recorded	NA
sex	Sex of participant			String
		Female	Female
		Male	Male
		Not recorded	NA
hivstatus	HIV status of participant			String
		HIV status unknown	HIV-unknown
		HIV positive	HIV-positive
		HIV negative	HIV-negative
unique_id_indicator	Unique ID indicator			Integer
			0
			1
visit_indicator	Visit indicator			Integer
			0
			1
unique_visit_indicator	Unique visit indicator			Integer
			0
			1
total_visits	Total number of visits to clinic			Integer

		Not recorded	NA
reasoncat	Reason for participant visit (categories)
		Acute condition	Acute
		HIV care condition	HIV care
		Unknown condition	other chronic
		Unknown condition	NA