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Kwame A, Petrucka PM. Universal healthcare coverage, patients' rights, and nurse-patient communication: a critical review of the evidence. BMC Nurs 2022; 21:54. [PMID: 35255908 PMCID: PMC8900414 DOI: 10.1186/s12912-022-00833-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/23/2022] [Indexed: 12/02/2022] Open
Abstract
The Sustainable Development Goals adopted by world leaders on September 25, 2015, aimed to end poverty and hunger, promote gender equity, empower women and girls, and ensure human dignity and equality by all human beings in a healthy environment. These development goals were premised on international human rights norms and institutions, thereby acknowledging the relevance of human rights in achieving each goal. Particularly, sustainable development goal 3, whose objective is to achieve universal health coverage, enhance healthy lives, and promote well-being for all, implicitly recognizes the right to health as crucial. Our focus in this paper is to discuss how promoting patients’ rights and enhancing effective nurse-patient communication in the healthcare setting is a significant and necessary way to achieve universal health coverage. Through a critical review of the empirical research evidence, we demonstrated that enhancing patients’ rights and effect nurse-patient communication will promote people-centered care, improve patients’ satisfaction of care outcomes, increase utilization of care services, and empower individuals and families to self-advocate for their health. These steps directly impact primary healthcare strategies and the social determinants of health as core components to achieving universal health coverage. We argue that without paying attention to the human rights dimensions or employing human rights strategies, implementing the other efforts will be inadequate and unsustainable in protecting the poorest and most vulnerable populations in the achievement of goal 3.
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Affiliation(s)
- Abukari Kwame
- College of Graduate and Postdoctoral Studies, University of Saskatchewan, Saskatoon, Canada.
| | - Pammla M Petrucka
- College of Nursing, University of Saskatchewan, Regina Campus, Regina, Canada
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Herbst K, Juvekar S, Jasseh M, Berhane Y, Chuc NTK, Seeley J, Sankoh O, Clark SJ, Collinson MA. Health and demographic surveillance systems in low- and middle-income countries: history, state of the art and future prospects. Glob Health Action 2021; 14:1974676. [PMID: 35377288 PMCID: PMC8986235 DOI: 10.1080/16549716.2021.1974676] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 08/25/2021] [Indexed: 11/09/2022] Open
Abstract
Health and Demographic Surveillance Systems (HDSS) have been developed in several low- and middle-income countries (LMICs) in Africa and Asia. This paper reviews their history, state of the art and future potential and highlights substantial areas of contribution by the late Professor Peter Byass.Historically, HDSS appeared in the second half of the twentieth century, responding to a dearth of accurate population data in poorly resourced settings to contextualise the study of interventions to improve health and well-being. The progress of the development of this network is described starting with Pholela, and progressing through Gwembe, Balabgarh, Niakhar, Matlab, Navrongo, Agincourt, Farafenni, and Butajira, and the emergence of the INDEPTH Network in the early 1990'sThe paper describes the HDSS methodology, data, strengths, and limitations. The strengths are particularly their temporal coverage, detail, dense linkage, and the fact that they exist in chronically under-documented populations in LMICs where HDSS sites operate. The main limitations are generalisability to a national population and a potential Hawthorne effect, whereby the project itself may have changed characteristics of the population.The future will include advances in HDSS data harmonisation, accessibility, and protection. Key applications of the data are to validate and assess bias in other datasets. A strong collaboration between a national HDSS network and the national statistics office is modelled in South Africa and Sierra Leone, and it is possible that other low- to middle-income countries will see the benefit and take this approach.
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Affiliation(s)
- Kobus Herbst
- DSI-MRC South African Population Infrastructure Network, Durban, South Africa
- Population Science, Africa Health Research Institute, Durban, KwaZulu-Natal, South Africa
| | - Sanjay Juvekar
- KEM Hospital Research Centre, Vadu Rural Health Program, Pune, India
| | - Momodou Jasseh
- Medical Research Council Unit, The Gambia at London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Yemane Berhane
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | | | - Janet Seeley
- Population Science, Africa Health Research Institute, Durban, KwaZulu-Natal, South Africa
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK
| | - Osman Sankoh
- Statistics Sierra Leone, Tower Hill, Freetown, Sierra Leone
- Njala University, University Secretariat, Njala, Sierra Leone
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Heidelberg Institute of Global Health, University of Heidelberg Medical School, Heidelberg, Germany
| | - Samuel J. Clark
- Department of Sociology, The Ohio State University, Columbus, Ohio, USA
| | - Mark A. Collinson
- DSI-MRC South African Population Infrastructure Network, Durban, South Africa
- SAMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, South Africa
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Arredondo A. The COVID-19 pandemic substantially complicates the usual challenges for patients with diabetes in Latin America. Diabetes Res Clin Pract 2020; 168:108394. [PMID: 32866555 PMCID: PMC7455556 DOI: 10.1016/j.diabres.2020.108394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 01/11/2023]
Affiliation(s)
- Armando Arredondo
- Center for Health System Research, National Institute of Public Health, Av Universidad 655, col Sta Maria, Cuernavaca, CP 61500 Morelos, Mexico.
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Arredondo A. Labor Taxes Versus General Taxes For Universal Health Coverage. Health Aff (Millwood) 2020; 39:1840. [DOI: 10.1377/hlthaff.2020.01306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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