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1.
J Prim Care Community Health ; 14: 21501319231159459, 2023.
Article in English | MEDLINE | ID: covidwho-2247933

ABSTRACT

The COVID-19 pandemic resulted in disruption in every facet of life including health service delivery. This has threatened the attainment of global targets to improve health and wellbeing of all persons. In particular, for persons living with chronic diseases, who require consistent monitoring by health professionals and medication to enhance their health, understanding how the pandemic has disruption their access to health care delivery is critical for interventions aimed at improving health service delivery for all as well as preparedness for future pandemic. This study applied the constructs of the Health Belief Model, to explore the influences of the COVID-19 pandemic on the health seeking behaviors of persons living with chronic diseases. The design was exploratory descriptive. Semi-structured interviews were conducted to collect data among persons living with chronic diseases in the Cape Coast Metropolis of Ghana. Thematic analysis, both inductive and deductive, was conducted to unearth the findings. Awareness of increased susceptibility and risk of a more severe episode if they contracted COVID-19 as a result of the existing chronic diseases was identified. Lack of access to health professionals during the peak of the pandemic as well as the fear of contracting the virus while accessing their regular chronic disease clinic was the main barriers identified. Information in the media served as cues to action for adopting preventive health strategies. Behavior modifications; dietary and lifestyle, self-medication and adoption of COVID-19 related precautions were practiced. Susceptibility to contracting COVID-19 contributed to missed adherence to treatment appointment. The health belief model was a useful framework in exploring the health seeking behavior of the adults living with chronic conditions during the COVID-19 in this study setting. Intensifying targeted education for persons living with chronic diseases will contribute to the adoption of positive health seeking behaviors during future pandemic.


Subject(s)
COVID-19 , Humans , Adult , Pandemics , Health Behavior , Health Belief Model , Patient Acceptance of Health Care
2.
BMC Nurs ; 21(1): 61, 2022 Mar 14.
Article in English | MEDLINE | ID: covidwho-1741942

ABSTRACT

BACKGROUND: Innovations in clinical nursing education are critical in enhancing the experiences of students, especially in the era of coronavirus pandemic. This study aimed at investigating nurse preceptors' perceptions of use, intention to use and self-efficacy towards digital technology in preceptorship in the Cape Coast Metropolis of Ghana. METHODS: A concurrent type of mixed-methods design with a non-randomised interventional study using three-phase multi-methods technique was conducted among nurse preceptors in the Cape Coast Metropolis in the Central Region of Ghana. Forty-five nurse preceptors participated in a pre and post training intervention while seven were purposively selected for the qualitative interview. Complimentarity method of triangulation was used in the analysis. The quantitative data were analysed with STATA version 16 and presented using frequencies, percentages, means with standard deviations and McNemar's test while qualitative data were analysed using the six steps approach to qualitative data analysis by Braun and Clarke. RESULTS: Perceived usefulness statement "using technology will improve clinical teaching" increased from 19 (42.22%) at baseline to 44 (97.78%) post intervention. Perceived ease of using technology statement "I would find it easy to get this technology to do what I want it to do" also increased from 36 (80.00%) to 41 (91.11%) post intervention. Self-efficacy increased from 40 (88.89%) to 43 (95.56%) after the intervention. There was a statistically significant difference between pre-training and post-training scores regarding tablet (p = 0.016) and experience with online library resources (p = 0.039). The qualitative results yielded three themes, namely: strengths of using technology; constraints in the learning environment; and future of technological approach to clinical teaching. CONCLUSIONS: The training intervention improved participants intentions, self-efficacy, perceived use and perceived ease of use of technology. However, there are constraints in the clinical learning environment including students and preceptor-related factors, and institutional factors that needs to be addressed as part of efforts to implement technology in clinical teaching in this era of COVID-19 pandemic and beyond.

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