South Africa started to lead the cross-culturally validation and use of the Primary Care Assessment Tool (PCAT) in Africa, when Professor Bresick filled a gap, as this continent was until then the only one that had never used it in evaluation of primary health care facilities until 2015.
The authors aim to demonstrate that after the consolidation of Bresick’s team to an African version of PCAT, it had been adapted to household survey in Brazil.
In this letter, authors reflect on how Brazil had adapted PCAT to a national random household survey with Brazilian National Institute of Geography and Statistics (IBGE) – the Brazilian Census Bureau.
In the the beginning of 2019, Brazilian Ministry of Health brought back the PCAT as the official national primary health care assessment tool. Brazilian National Institute of Geography and Statistics (IBGE) included a new module (set of questions) in its National Health Survey (PNS-2019) and collected more than 100 000 households interviews in about 40% of the country’s municipalities. This module had 25 questions of the Brazilian validated version of the adult reduced PCAT.
We believe that IBGE innovation with the Ministry of Health can encourage South Africa to establish a similar partnership with its National Institute of Statistics (Statistics South Africa) for the country to establish a baseline for future planning of primary health care, for decision-making based on scientific evidence.
The questionnaires that form what is known as the Primary Care Assessment Tool (PCAT) were originally created by the team led by Professors Barbara Starfield and Leiyu Shi of Johns Hopkins Bloomberg School of Public Health for the evaluation of essential and derived attributes of primary healthcare services.
In South Africa, between 2015 and 2019, Dr Bresick’s team adapted and cross-culturally validated the PCAT, measured primary healthcare performance in the Western Cape and described differences between the experiences of users and staff with regard to primary care.
In Brazil, the same questions and domains proposed by Professors Barbara Starfield and Leiyu Shi were maintained in the child and adult PCAT versions.
Brazil was one of the first Latin American countries visited by Professor Barbara Starfield in 2002, when she launched her Portuguese book on primary healthcare.
Since 1998, the Brazilian National Institute of Geography and Statistics (IBGE) has been conducting household surveys throughout the country, with probabilistic samples. These surveys, conducted every 5 years, contained a set of questions to investigate the health of the population. Then, in 2013, a new survey – the National Health Survey (Pesquisa Nacional de Saúde – PNS) – contained dozens of modules with specific questions about the health of children, women, the elderly, health service utilisation, etc. Since August 2019, data collection has included more than 100 000 households and about 40% of the country’s municipalities.
This will therefore facilitate the calculation of the general primary care score (the average of all items of the essential and derivative PCAT attributes). It will also allow the comparison of these scores by five regions and 27 federation units
As primary care researchers, we believe that this IBGE innovation with the Ministry of Health can encourage South Africa to establish a similar commitment from its National Institute of Statistics (Statistics South Africa) and the National Demographic and Health Survey to establish a baseline for future planning of primary care and for decision-making based on scientific evidence.
L.F.P. would like to thank the Institute of Hygiene and Tropical Medicine (IHMT) of the Universidade Nova de Lisboa, Lisbon, Portugal, for the opportunity to contribute to this scientific letter during his postdoctoral fellowship with Professor Zulmira Hartz (PhD).
The authors have declared that no competing interest exists.
All authors contributed equally to this work.
This article followed all ethical standards for a research without direct contact with human or animal subjects.
This study received no specific grant from any funding agency in the public, commercial or not-for-profit-sectors.
Data sharing is not applicable to this article as no data were created or analysed in this study. All data mentioned are cited in the references.
The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of any affiliated agency of the authors.