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1.
BMJ Open ; 13(4): e066620, 2023 04 25.
Article in English | MEDLINE | ID: mdl-37185185

ABSTRACT

OBJECTIVE: To explore doctors' experiences of referring and admitting patients to the intensive care unit (ICU) at two tertiary hospitals in Malawi. DESIGN: This was a qualitative study that used face-to-face interviews. The interviews were audiotaped and transcribed verbatim into English. The data were analysed manually through conventional content analysis. SETTING: Two public tertiary hospitals in the central and southern regions of Malawi. Interviews were conducted from January to June 2021. PARTICIPANTS: Sixteen doctors who were involved in the referral and admission of patients to the ICU. RESULTS: Four themes were identified namely, lack of clear admission criteria, ICU admission requires a complex chain of consultations, shortage of ICU resources, and lack of an ethical and legal framework for discontinuing treatment of critically ill patients who were too sick to benefit from ICU. CONCLUSION: Despite the acute disease burden and increased demand for ICU care, the two hospitals lack clear processes for referring and admitting patients to the ICU. Given the limited bed space in ICUs, hospitals in low-income countries, including Malawi, need to improve or develop admission criteria, severity scoring systems, ongoing professional development activities, and legislation for discontinuing intensive care treatments and end-of-life care.


Subject(s)
Hospitalization , Intensive Care Units , Humans , Tertiary Care Centers , Malawi , Critical Care
2.
Malawi Med J ; 34(4): 267-272, 2022 Dec.
Article in English | MEDLINE | ID: mdl-38125779

ABSTRACT

Introduction: The coronavirus pandemic overwhelmed the healthcare landscape, placing a strain on healthcare workers worldwide. In addition to directly causing the deaths of people, the COVID-19 pandemic disrupted critical health services in developing countries. The study aimed to explore the experiences of healthcare workers who cared for critically ill COVID-19 patients at a tertiary hospital in Malawi. Methods: A qualitative descriptive design was used. Data were gathered through in-depth interviews with doctors, clinical officers, nurses, and allied staff (n=25) who were involved in the care of critically ill COVID-19 patients at the hospital's COVID-19 treatment centres during the first and second waves of the pandemic in Malawi. The interviews were conducted in English, audiotaped, and later transcribed verbatim. Conventional content analysis was used to analyse the data following the steps proposed by Hsieh and Shannon1. Results: The overall experience of the health workers was negative. However, delivering care to critically ill COVID-19 patients was associated with positive and negative experiences. The positive experience was a result of teamwork among staff and support from hospital authorities and the community. Negative experiences, on the other hand, were attributed to a lack of knowledge and skills in managing critically ill COVID-19 patients, a lack of resources, and abuse by some patients and members of the community. Furthermore, there was fear of contracting the virus from patients and fellow health workers while providing care. Conclusion: The findings point to the need for adequate preparedness within the health sector to support and protect the healthcare workers and individuals they look after. There is a need for disease awareness strategies for health workers and the general public for future pandemics.


Subject(s)
COVID-19 , Humans , Tertiary Care Centers , COVID-19/epidemiology , Malawi/epidemiology , COVID-19 Drug Treatment , Critical Illness/therapy , Pandemics , Health Personnel
3.
Malawi Med J ; 33(4): 236-241, 2021 12.
Article in English | MEDLINE | ID: mdl-35291390

ABSTRACT

Background: Critical care specialty deals with the complex needs of critically ill patients. Nurses who provide critical care are expected to possess the appropriate knowledge and skills required for the care of critically ill patients. The aim of this study was to assess the effect of an educational programme on the competence of critical care nurses at two tertiary hospitals in Lilongwe and Blantyre, Malawi. Methods: A quantitative pre- and post-test design was applied. The training programme was delivered to nurses (n = 41) who worked in intensive care and adult high dependency units at two tertiary hospitals. The effect of the training was assessed through participants' self-assessment of competence on the Intensive and Critical Care Nursing Competence Scale and a list of 10 additional competencies before and after the training. Results: The participants' scores on the Intensive and Critical Care Nursing Competence Scale before the training, M = 608.2, SD = 59.6 increased significantly after the training, M = 684.7, SD = 29.7, p <.0001 (two-tailed). Similarly, there was a significant increase in the participants' scores on the additional competencies after the training, p <.0001 (two-tailed). Conclusion: The programme could be used for upskilling nurses in critical care settings in Malawi and other developing countries with a similar context.


Subject(s)
Clinical Competence , Nurses , Adult , Critical Care , Humans , Malawi , Tertiary Care Centers
4.
Front Digit Health ; 3: 761128, 2021.
Article in English | MEDLINE | ID: mdl-35005696

ABSTRACT

Introduction: Understanding the extent and cause of high neonatal deaths rates in Sub-Saharan Africa is a challenge, especially in the presence of poor-quality and inaccurate data. The NeoTree digital data capture and quality improvement system has been live at Kamuzu Central Hospital, Neonatal Unit, Malawi, since April 2019. Objective: To describe patterns of admissions and outcomes in babies admitted to a Malawian neonatal unit over a 1-year period via a prototype data dashboard. Methods: Data were collected prospectively at the point of care, using the NeoTree app, which includes digital admission and outcome forms containing embedded clinical decision and management support and education in newborn care according to evidence-based guidelines. Data were exported and visualised using Microsoft Power BI. Descriptive and inferential analysis statistics were executed using R. Results: Data collected via NeoTree were 100% for all mandatory fields and, on average, 96% complete across all fields. Coverage of admissions, discharges, and deaths was 97, 99, and 91%, respectively, when compared with the ward logbook. A total of 2,732 neonates were admitted and 2,413 (88.3%) had an electronic outcome recorded: 1,899 (78.7%) were discharged alive, 12 (0.5%) were referred to another hospital, 10 (0.4%) absconded, and 492 (20%) babies died. The overall case fatality rate (CFR) was 204/1,000 admissions. Babies who were premature, low birth weight, out born, or hypothermic on admission, and had significantly higher CFR. Lead causes of death were prematurity with respiratory distress (n = 252, 51%), neonatal sepsis (n = 116, 23%), and neonatal encephalopathy (n = 80, 16%). The most common perceived modifiable factors in death were inadequate monitoring of vital signs and suboptimal management of sepsis. Two hundred and two (8.1%) neonates were HIV exposed, of whom a third [59 (29.2%)] did not receive prophylactic nevirapine, hence vulnerable to vertical infection. Conclusion: A digital data capture and quality improvement system was successfully deployed in a low resource neonatal unit with high (1 in 5) mortality rates providing and visualising reliable, timely, and complete data describing patterns, risk factors, and modifiable causes of newborn mortality. Key targets for quality improvement were identified. Future research will explore the impact of the NeoTree on quality of care and newborn survival.

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