ObjectivesTo examine the knowledge, attitudes and practices (KAP) of COVID-19 of rural and urban residents in Liberia to inform the development of local social and behaviour change communication strategies.DesignCross-sectional, mixed-mode (online and telephone) survey using non-probability sampling.SettingAll 15 counties in Liberia with a focus on Maryland County.ParticipantsFrom 28 May to 28 June 2020, data were collected from a total of 431 adults aged 18 years and older (telephone 288 (66.8%); online 143 (33.2%)) out of a total of 741 contacts.Main outcome measuresKAP scores. Frequencies and proportions were calculated, followed by univariate and multivariable analyses to examine the association between KAP scores and the sociodemographic variables.ResultsAround 69% of the online survey respondents were younger than 35 years of age, compared with 56% in the telephone interviews. The majority (87%) of online respondents had completed tertiary education, compared with 77% of the telephone respondents. Male participants, on average, achieved higher knowledge (52%) and attitude scores (72%), in contrast to females (49% and 67%, respectively). Radio (71%) was the most cited source for COVID-19 information, followed by social media (63%). After controlling for sociodemographic variables, adaptive regression modelling revealed that survey mode achieved 100% importance for predicting knowledge and practice levels with regard to COVID-19.ConclusionsThe survey population demonstrated moderate COVID-19 knowledge, with significant differences between survey mode and educational level. Correct knowledge of COVID-19 was associated with appropriate practices in Maryland County. Generalisation of survey findings must be drawn carefully owing to the limitations of the sampling methods. Yet, given the differences in knowledge gaps between survey modes, sex, education, occupation and place of residence, it is recommended that information is tailored to different audiences.
In this article, we examine the inter-relationship between moral theory and the unpredictable and complex world of primary health care, where the values of patient and doctor, or groups of patients and doctors, may often clash. We introduce complexity science and its relevance to primary care; going on to explore how it can assist in understanding ethical decision making, as well as considering implications for clinical practice. Throughout the article, we showcase aspects and key concepts using examples and a case study developed from our day-to-day experience working as clinical practitioners in primary care.
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