Behavioral Risk Factor and Primary Healthcare Utilization in South Africa
(1) Background: An effective and efficient primary healthcare service is one of the reforms designed to achieve universal healthcare coverage. The success of the reform however depends on the ability to identify factors that could undermine through avoidable use, the effectiveness of various deploye...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/10/11/2186 |
| _version_ | 1797468134309888000 |
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| author | Ebenezer Toyin Megbowon Oladipo Olalekan David Jabulile Lindiwe Makhalima |
| author_facet | Ebenezer Toyin Megbowon Oladipo Olalekan David Jabulile Lindiwe Makhalima |
| author_sort | Ebenezer Toyin Megbowon |
| collection | DOAJ |
| description | (1) Background: An effective and efficient primary healthcare service is one of the reforms designed to achieve universal healthcare coverage. The success of the reform however depends on the ability to identify factors that could undermine through avoidable use, the effectiveness of various deployed scarce resources. The prevalence of unhealthy lifestyle risk factors that have been identified as a critical public health issue, which stimulate vulnerability and mortality through the development of non-communicable diseases, also have implications for government health spending through healthcare utilization. (2) Objective: This study aims to investigate the effect of behavioral risk factors on primary healthcare utilization in South Africa. (3) Methods: Using the NIDS wave 4 data set and a binary logistic estimation technique, the study is premised on a modified Anderson model of health service utilization. (4) Results: The binary logistic regression estimation results clearly show the intercepting effect of smoking in public primary healthcare utilization. Equally, the effect of these lifestyle behavior risk factors on public PHC is evident in urban communities. (5) Conclusion: This study suggests that there is a need to intensify awareness on the health effect of smoking; strengthen and broaden law that bans smoking; and introduce the screening of smoking patients for recurring counselling sessions and intervention at primary healthcare facilities in the country’s urban communities. |
| first_indexed | 2024-03-09T19:02:15Z |
| format | Article |
| id | doaj.art-1ba512a86ee74945988fbf9daa73b7ac |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-09T19:02:15Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-1ba512a86ee74945988fbf9daa73b7ac2023-11-24T04:51:10ZengMDPI AGHealthcare2227-90322022-10-011011218610.3390/healthcare10112186Behavioral Risk Factor and Primary Healthcare Utilization in South AfricaEbenezer Toyin Megbowon0Oladipo Olalekan David1Jabulile Lindiwe Makhalima2School of Economic Science, North West University, Vanderbijlpark 1900, South AfricaSchool of Economic Science, North West University, Vanderbijlpark 1900, South AfricaSchool of Economic Science, North West University, Vanderbijlpark 1900, South Africa(1) Background: An effective and efficient primary healthcare service is one of the reforms designed to achieve universal healthcare coverage. The success of the reform however depends on the ability to identify factors that could undermine through avoidable use, the effectiveness of various deployed scarce resources. The prevalence of unhealthy lifestyle risk factors that have been identified as a critical public health issue, which stimulate vulnerability and mortality through the development of non-communicable diseases, also have implications for government health spending through healthcare utilization. (2) Objective: This study aims to investigate the effect of behavioral risk factors on primary healthcare utilization in South Africa. (3) Methods: Using the NIDS wave 4 data set and a binary logistic estimation technique, the study is premised on a modified Anderson model of health service utilization. (4) Results: The binary logistic regression estimation results clearly show the intercepting effect of smoking in public primary healthcare utilization. Equally, the effect of these lifestyle behavior risk factors on public PHC is evident in urban communities. (5) Conclusion: This study suggests that there is a need to intensify awareness on the health effect of smoking; strengthen and broaden law that bans smoking; and introduce the screening of smoking patients for recurring counselling sessions and intervention at primary healthcare facilities in the country’s urban communities.https://www.mdpi.com/2227-9032/10/11/2186healthcare utilizationpublic sectorbehavioral risk factorSouth Africa |
| spellingShingle | Ebenezer Toyin Megbowon Oladipo Olalekan David Jabulile Lindiwe Makhalima Behavioral Risk Factor and Primary Healthcare Utilization in South Africa Healthcare healthcare utilization public sector behavioral risk factor South Africa |
| title | Behavioral Risk Factor and Primary Healthcare Utilization in South Africa |
| title_full | Behavioral Risk Factor and Primary Healthcare Utilization in South Africa |
| title_fullStr | Behavioral Risk Factor and Primary Healthcare Utilization in South Africa |
| title_full_unstemmed | Behavioral Risk Factor and Primary Healthcare Utilization in South Africa |
| title_short | Behavioral Risk Factor and Primary Healthcare Utilization in South Africa |
| title_sort | behavioral risk factor and primary healthcare utilization in south africa |
| topic | healthcare utilization public sector behavioral risk factor South Africa |
| url | https://www.mdpi.com/2227-9032/10/11/2186 |
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