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Abstract Introduction The composite coverage index (CCI) is the weighted average coverage of eight preventive and curative interventions received along the maternal and childcare continuum. This study aimed to analyse maternal and child health indicators using CCI. Methods We performed a secondary analysis of demographic and health surveys (DHS) focused on women aged 15 to 49 and their children aged 1 to 4. This study took place in Guinea. The CCI (meeting the need for planning, childbirth assisted by qualified healthcare workers, antenatal care assisted by qualified healthcare workers, vaccination against diphtheria, pertussis, tetanus, measles and Bacillus Calmette-Guérin, taking oral rehydration salts during diarrhoea and seeking care for pneumonia) is optimal if the weighted proportion of interventions is > 50%; otherwise, it is partial. We identified the factors associated with CCI using the descriptive association tests, the spatial autocorrelation statistic and multivariate logistic regression. Results The analyses involved two DHS surveys, with 3034 included in 2012 and 4212 in 2018. The optimal coverage of the CCI has increased from 43% in 2012 to 61% in 2018. In multivariate analysis, in 2012: the poor had a lower probability of having an optimal CCI than the richest; OR = 0.11 [95% CI; 0.07, 0.18]. Those who had done four antenatal care visits (ANC) were 2.78 times more likely to have an optimal CCI than those with less OR = 2.78 [95% CI;2.24, 3.45]. In 2018: the poor had a lower probability of having an optimal CCI than the richest OR = 0.27 [95% CI; 0.19, 0.38]. Women who planned their pregnancies were 28% more likely to have an optimal CCI than those who had not planned OR = 1.28 [95% CI;1.05, 1.56]. Finally, women with more than 4 ANC were 2.43 times more likely to have an optimal CCI than those with the least OR = 2.43 [95% CI; 2.03, 2.90]. The spatial analysis reveals significant disparities with an aggregation of high partial CCI in Labé between 2012 and 2018. Conclusion This study showed an increase in CCI between 2012 and 2018. Policies should improve access to care and information for poor women. Besides, strengthening ANC visits and reducing regional inequalities increases optimal CCI.

Abstract Background Despite its effectiveness, the optimal use of the combination of insecticide-treated nets (ITN) and intermittent preventive treatment during pregnancy with sulfadoxine–pyrimethamine (IPTp-SP) remains low in malaria-endemic areas. Therefore, this study analyzed its variations and predictors in Guinea. Methods This study was a secondary analysis of the 2012 and 2018 Guinea Demographic and Health Surveys (DHS). It included women who had given birth 3 years before each DHS, slept on ITN and took at least one dose of SP. Use was complete if a pregnant woman slept on ITNs and took SP (at least two doses in 2012; at least three doses in 2018). Moran indices were used to determine spatial autocorrelation and classification methods to identify malaria preventive measures (MPM) predictors. Results In 2012, 60.88% of pregnant women had incomplete use of MPMs compared with 79.11% in 2018. Associated factors with incomplete MPMs in 2012 were as follows: having an indirect link with the head of household (AOR = 2.23, 95% CI 1.08–4.61) and performing at least 4 ANC visits (AOR = 0.66, 95% CI 0.44–0.99). In 2018: Living in households of 2 to 5 people (AOR = 0.54, 95% CI 0.36–0.80), have a man as the head of the household (AOR = 0.56, 95% CI 0.35–0.89), perform the first ANC in the second trimester of pregnancy (AOR = 0.74, 95% CI 0.54–0.99), perform at least 4 ANC visits (AOR = 0.47, 95% CI 0.36–0.62), have a job (AOR = 0. 67, 95% CI 0.50–0.88), give birth in a public health facility (AOR = 0.53, 95% CI 0.39–0.72) and the middle wealth quintile (AOR = 1.56, 95% CI 1.07–2.26). Analyses revealed a global autocorrelation (Moran index = 0.0009, p = 0.2349) and high–high clusters in Mamou in 2012. In 2018, autocorrelation was found (I Moran = 0.0169, p ≤ 0.05), with spatial clusters in 4 regions. Conclusion The link with the head of household and the number of ANC visits were the main factors in MPMs. It is essential to implement strategies at the household level and health system level and monitor them to reduce inequality across regions.

Abstract Introduction The advent of the effective COVID-19 vaccine was the most eagerly expected worldwide. However, this hope quickly became hesitation and denial in many countries, including Guinea. Understanding the reasons for low vaccine coverage is essential to achieving herd immunity leading to disease control. This study aimed to comprehend the facilitators and barriers to the acceptance COVID-19 vaccine in Guinea. Methods The survey focused on healthcare workers (HCWs) and the general population (GP) in 4 natural regions in Guinea from 23 March 2021 to 25 August 2021. We used the Fishbein integration model to study the behaviours of HWCs and GP regarding vaccination. A mixed cross-sectional study collected knowledge, attitudes, norms, and perceptions. Regression and thematic content analysis identified the main facilitators and barriers to vaccination. Results We surveyed 3547 HCWs and 3663 GP. The proportion of people vaccinated was 65% among HCWs and 31% among the GP. For HCWs: the main factors associated with vaccination against COVID-19 were as follows: absence of pregnancy AOR = 4.65 [3.23–6.78], being supportive of vaccination AOR = 1.94 [1.66–2.27] and being an adult AOR = 1.64 [1.26–2.16]. Regarding the GP, the following factors increased the odds of vaccination: absence of pregnancy AOR = 1.93 [CI 1.01–3.91], being favourable for vaccination AOR = 3.48 [CI 2.91–4.17], being an adult AOR = 1.72 [CI 1.38–2.14] and being able to get the vaccine AOR = 4.67 [CI 3.76–5.84]. Semi-interviews revealed fear, lack of trust, and hesitant perception of the government as potential barriers to vaccination. Conclusion This study suggests that beliefs and negative perceptions are potential barriers to vaccination against COVID-19 among HCWs and the GP. Policies should emphasise practical strategies to mitigate these barriers among young people and pregnant women. Lastly, there is a need to improve access to vaccines in the GP.

Despite being bio-epidemiological phenomena, the causes and effects of pandemics are culturally influenced in ways that go beyond national boundaries. However, they are often studied in isolated pockets, and this fact makes it difficult to parse the unique influence of specific cultural psychologies. To help fill in this gap, the present study applies existing cultural theories via linear mixed modeling to test the influence of unique cultural factors in a multi-national sample (that moves beyond Western nations) on the effects of age, biological sex, and political beliefs on pandemic outcomes that include adverse financial impacts, adverse resource impacts, adverse psychological impacts, and the health impacts of COVID. Our study spanned 19 nations (participant N = 14,133) and involved translations into 9 languages. Linear mixed models revealed similarities across cultures, with both young persons and women reporting worse outcomes from COVID across the multi-national sample. However, these effects were generally qualified by culture-specific variance, and overall more evidence emerged for effects unique to each culture than effects similar across cultures. Follow-up analyses suggested this cultural variability was consistent with models of pre-existing inequalities and socioecological stressors exacerbating the effects of the pandemic. Collectively, this evidence highlights the importance of developing culturally flexible models for understanding the cross-cultural nature of pandemic psychology beyond typical WEIRD approaches.

The COVID-19 pandemic has had a significant impact on all facets of life and has exacerbated many challenges faced by people living with tuberculosis (TB). This study aimed to assess the health-related quality of life (HRQoL) of TB patients in Guinea during the first wave of the COVID-19 pandemic. A mixed methods study was conducted using two validated tools to assess HRQoL and qualitative interviews among TB patients enrolled in treatment at 11 health centers in Conakry, Guinea. Logistic regression was used to identify factors associated with the deterioration of HRQoL. We included 439 participants in the study, among whom 44% and 31% experienced pain and anxiety, respectively. We found that an increase in the number of household size and the distance from participants’ residence to the health centers were significantly associated with lower HRQoL. Qualitative interviews highlighted nutritional and financial issues, which were exacerbated during the COVID-19 pandemic and beliefs that the Guinean Government’s assistance plan was insufficient. This study supports the implementation of specific relief plans for TB patients, which includes nutritional and psychological support, especially those whose movements are limited by travel restrictions, preventing access to TB care, reducing work opportunities and exacerbating financial needs and stress.

Evidence suggests that the COVID-19 pandemic negatively impacts tuberculosis (TB) activities. As TB and COVID-19 have similar symptoms, we assessed the effectiveness of integrated TB/COVID-19 screening in Guinea and Niger. From May to December 2020, TB screening was offered to symptomatic patients after a negative COVID-19 PCR test or after recovery from COVID-19 in Guinea. From December 2020 to March 2021, all presumptive COVID-19 patients with respiratory symptoms were tested simultaneously for COVID-19 and TB in Niger. We assessed the TB detection yield and used micro-costing to estimate the costs associated with both screening algorithms. A total of 863 individuals (758 in Guinea, and 105 in Niger), who were mostly male (60%) and with a median age of 34 (IQR: 26–45), were screened for TB. Reported symptoms were cough ≥2 weeks (49%), fever (45%), and weight loss (30%). Overall, 61 patients (7%) tested positive for COVID-19 (13 in Guinea, 48 in Niger) and 43 (4.9%) were diagnosed with TB disease (35 or 4.6% in Guinea, and 8 or 7.6% in Niger). The cost per person initiating TB treatment was USD $367 in Guinea and $566 in Niger. Overall, the yield of both approaches was high, and the cost was modest. Optimizing integrated COVID-19/TB screening may support maintaining TB detection during the ongoing pandemic.

Introduction: The World Health Organization declared COVID-19 as a pandemic in March 2020. COVID-19 has since caused a significant increase in mental health problems at national and global levels. This study assessed the views of key mental health stakeholders regarding the state of mental health service provision in Malawi and the pandemic's impact on the sector. Methods: The study utilised a qualitative approach through key informant interviews (KIIs) conducted using a semi-structured interview guide. The interviews were audio recorded in English language and were manually transcribed for thematic analysis by generating codes re-classified into themes, sub-themes and quotes. Results: The results are categorised into five themes. Firstly, the availability of mental health services. All experts confirmed the lack of availability of the mental health services especially at the lower levels of care. Currently, only 0.3% of facilities offer mental health services in Malawi. Moreover, although mental health services are part of the essential health care package and, therefore, are supposed to be provided for free in public facilities at all levels, the services are centralised and only functional at a tertiary level of care in public facilities. Secondly, funding sources for mental health in public and private facilities. We learnt that public facilities depend on donor sources and there is lack of prioritisation in budget allocation for mental health services. Whereas private facilities, their major source of funding is user fees. Thirdly, government's response in the provision of mental health services during COVID-19. Almost all experts echoed that government took a proactive approach to address the mental health needs of its population during the pandemic. There was increased collaboration between the government and the private sector to provide psychosocial and counselling services to health workers working directly with COVID-19 patients in isolation centres. Furthermore, to increase awareness of the general population on where to seek counselling services. Lastly, challenges in the provision of mental health services were highlighted and how the pandemic acerbated the challenges including shortage in human resources for health and inadequate funding. Conclusion: This study underscores the urgency of addressing mental health challenges in Malawi. Policymakers must prioritize the decentralization of mental health services, explore funding opportunities, and build on the successful collaboration with the private sector. These measures will not only enhance the accessibility and quality of mental health services but also ensure that mental well-being is a central component of public health efforts in Malawi. [ABSTRACT FROM AUTHOR]

Background: According to the World Health Organization (WHO), technology is the backbone of services to prevent, diagnose, and treat diseases. In this context, it is important to evaluate health workers' mastery of basic computer skills. This study aimed to assess the level of mastery of basic computer skills among health workers in Guinea and identify the factors that influence this computer skill mastery to propose ways to improve it. Methods: A mixed cross-sectional study was conducted, with data analysed in two phases: descriptive analysis and logistical regression analysis for quantitative data, sentiment analysis, word cloud analysis, and qualitative content analysis for qualitative data. Python3.8 was used for all data analyses. Results: Data were collected from 408 health workers serving in different health districts in Guinea. The proportion of healthcare workers with basic computer skills was 22.5% (92 participants). The sentiment analysis showed a highly negative sentiment (VADER compound score=-0.992) in the text analysed, which may be due to the various challenges and barriers highlighted by the respondents, such as the lack of software and training centres, limited access to computers, unstable electricity and internet connectivity, lack of computer skills and training, and barriers to access computers. The word cloud analysis indicated that the most frequent topics discussed in the text were related to "software," "lack," "electricity," "connection," "mastery," "obstacles," and "training." Conclusion: This study highlights the challenges and barriers health workers face in accessing and using computer tools in Guinea. It is necessary to address these challenges by providing access to computer tools, improving electricity and internet connectivity, and enhancing computer skills and training for health workers. [ABSTRACT FROM AUTHOR]

Introduction: The composite coverage index (CCI) is the weighted average coverage of eight preventive and curative interventions received along the maternal and childcare continuum. This study aimed to analyse maternal and child health indicators using CCI. Methods: We performed a secondary analysis of demographic and health surveys (DHS) focused on women aged 15 to 49 and their children aged 1 to 4. This study took place in Guinea. The CCI (meeting the need for planning, childbirth assisted by qualified healthcare workers, antenatal care assisted by qualified healthcare workers, vaccination against diphtheria, pertussis, tetanus, measles and Bacillus Calmette-Guérin, taking oral rehydration salts during diarrhoea and seeking care for pneumonia) is optimal if the weighted proportion of interventions is > 50%; otherwise, it is partial. We identified the factors associated with CCI using the descriptive association tests, the spatial autocorrelation statistic and multivariate logistic regression. Results: The analyses involved two DHS surveys, with 3034 included in 2012 and 4212 in 2018. The optimal coverage of the CCI has increased from 43% in 2012 to 61% in 2018. In multivariate analysis, in 2012: the poor had a lower probability of having an optimal CCI than the richest; OR = 0.11 [95% CI; 0.07, 0.18]. Those who had done four antenatal care visits (ANC) were 2.78 times more likely to have an optimal CCI than those with less OR = 2.78 [95% CI;2.24, 3.45]. In 2018: the poor had a lower probability of having an optimal CCI than the richest OR = 0.27 [95% CI; 0.19, 0.38]. Women who planned their pregnancies were 28% more likely to have an optimal CCI than those who had not planned OR = 1.28 [95% CI;1.05, 1.56]. Finally, women with more than 4 ANC were 2.43 times more likely to have an optimal CCI than those with the least OR = 2.43 [95% CI; 2.03, 2.90]. The spatial analysis reveals significant disparities with an aggregation of high partial CCI in Labé between 2012 and 2018. Conclusion: This study showed an increase in CCI between 2012 and 2018. Policies should improve access to care and information for poor women. Besides, strengthening ANC visits and reducing regional inequalities increases optimal CCI. [ABSTRACT FROM AUTHOR]

Background: Despite its effectiveness, the optimal use of the combination of insecticide-treated nets (ITN) and intermittent preventive treatment during pregnancy with sulfadoxine–pyrimethamine (IPTp-SP) remains low in malaria-endemic areas. Therefore, this study analyzed its variations and predictors in Guinea. Methods: This study was a secondary analysis of the 2012 and 2018 Guinea Demographic and Health Surveys (DHS). It included women who had given birth 3 years before each DHS, slept on ITN and took at least one dose of SP. Use was complete if a pregnant woman slept on ITNs and took SP (at least two doses in 2012; at least three doses in 2018). Moran indices were used to determine spatial autocorrelation and classification methods to identify malaria preventive measures (MPM) predictors. Results: In 2012, 60.88% of pregnant women had incomplete use of MPMs compared with 79.11% in 2018. Associated factors with incomplete MPMs in 2012 were as follows: having an indirect link with the head of household (AOR = 2.23, 95% CI 1.08–4.61) and performing at least 4 ANC visits (AOR = 0.66, 95% CI 0.44–0.99). In 2018: Living in households of 2 to 5 people (AOR = 0.54, 95% CI 0.36–0.80), have a man as the head of the household (AOR = 0.56, 95% CI 0.35–0.89), perform the first ANC in the second trimester of pregnancy (AOR = 0.74, 95% CI 0.54–0.99), perform at least 4 ANC visits (AOR = 0.47, 95% CI 0.36–0.62), have a job (AOR = 0. 67, 95% CI 0.50–0.88), give birth in a public health facility (AOR = 0.53, 95% CI 0.39–0.72) and the middle wealth quintile (AOR = 1.56, 95% CI 1.07–2.26). Analyses revealed a global autocorrelation (Moran index = 0.0009, p = 0.2349) and high–high clusters in Mamou in 2012. In 2018, autocorrelation was found (I Moran = 0.0169, p ≤ 0.05), with spatial clusters in 4 regions. Conclusion: The link with the head of household and the number of ANC visits were the main factors in MPMs. It is essential to implement strategies at the household level and health system level and monitor them to reduce inequality across regions. [ABSTRACT FROM AUTHOR]

Introduction: The advent of the effective COVID-19 vaccine was the most eagerly expected worldwide. However, this hope quickly became hesitation and denial in many countries, including Guinea. Understanding the reasons for low vaccine coverage is essential to achieving herd immunity leading to disease control. This study aimed to comprehend the facilitators and barriers to the acceptance COVID-19 vaccine in Guinea.Methods: The survey focused on healthcare workers (HCWs) and the general population (GP) in 4 natural regions in Guinea from 23 March 2021 to 25 August 2021. We used the Fishbein integration model to study the behaviours of HWCs and GP regarding vaccination. A mixed cross-sectional study collected knowledge, attitudes, norms, and perceptions. Regression and thematic content analysis identified the main facilitators and barriers to vaccination.Results: We surveyed 3547 HCWs and 3663 GP. The proportion of people vaccinated was 65% among HCWs and 31% among the GP. For HCWs: the main factors associated with vaccination against COVID-19 were as follows: absence of pregnancy AOR = 4.65 [3.23-6.78], being supportive of vaccination AOR = 1.94 [1.66-2.27] and being an adult AOR = 1.64 [1.26-2.16]. Regarding the GP, the following factors increased the odds of vaccination: absence of pregnancy AOR = 1.93 [CI 1.01-3.91], being favourable for vaccination AOR = 3.48 [CI 2.91-4.17], being an adult AOR = 1.72 [CI 1.38-2.14] and being able to get the vaccine AOR = 4.67 [CI 3.76-5.84]. Semi-interviews revealed fear, lack of trust, and hesitant perception of the government as potential barriers to vaccination.Conclusion: This study suggests that beliefs and negative perceptions are potential barriers to vaccination against COVID-19 among HCWs and the GP. Policies should emphasise practical strategies to mitigate these barriers among young people and pregnant women. Lastly, there is a need to improve access to vaccines in the GP. [ABSTRACT FROM AUTHOR]