The lasting influence of Ebola: a qualitative study of community-level behaviors, trust, and perceptions three years after the 2014-16 Ebola epidemic in Liberia.

The majority of disease transmission during the 2014-16 West Africa Ebola epidemic was driven by community-based behaviors that proved difficult to change in a social paradigm of misinformation, denial, and deep-seated distrust of government representatives and institutions. In Liberia, perceptions and beliefs about Ebola during and since the epidemic can provide insights useful to public health strategies aimed at improving community preparedness. In this 2018 study, we conducted nine focus groups with Liberians from three communities who experienced Ebola differently, to evaluate behaviors, attitudes, and trust during and after the epidemic. Focus group participants reported that some behaviors adopted during Ebola have persisted (e.g. handwashing and caretaking practices), while others have reverted (e.g. physical proximity and funeral customs); and reported ongoing distrust of the government and denial of the Ebola epidemic. These findings suggest that a lack of trust in the biomedical paradigm and government health institutions persists in Liberia. Future public health information campaigns may benefit from community engagement addressed at understanding beliefs and sources of trust and mistrust in the community to effect behavior change and improve community-level epidemic preparedness.

Household chaos and screen media use among preschool-aged children: a cross-sectional study.

BACKGROUND: Excess screen media use is a robust predictor of childhood obesity. Understanding how household factors may affect children's screen use is needed to tailor effective intervention efforts. The preschool years are a critical time for obesity prevention, and while it is likely that greater household disorder influences preschool-aged children's screen use, data on that relationship are absent. In this study, our goal was to quantify the relationships between household chaos and screen use in preschool-aged children. METHODS: A cross-sectional, online survey was administered to 385 parents of 2-5 year-olds recruited in 2017. Household chaos was measured with the Confusion, Hubbub and Order Scale (i.e., the chaos scale), a validated, parent-reported scale. The scale consists of 15 items, each scored on a 4-point Likert scale. Final scores were the sum across the 15 items and modeled as quartiles for analyses. Parents reported their children's screen use for nine electronic media activities. Adjusted linear and Poisson regression were used to model associations between household chaos and children's total weekly screen use, screen use within one hour of bedtime and screen use in the bedroom. RESULTS: Children averaged 31.0 (SD = 23.8) hours per week with screens, 49.6% used screens within one hour of bedtime and 41.0% used screens in their bedrooms. In adjusted regression models, greater household chaos was positively associated with weekly screen use (P = 0.03) and use of screens within one hour of bedtime (P < 0.01) in a dose-dependent manner. Children in the fourth versus the first quartile of household chaos were more likely to use screens in their bedroom (P = 0.03). CONCLUSIONS: Greater household chaos was associated with increased total screen use as well as screen use behaviors that are related to disrupted nighttime sleep. Findings suggest that household chaos may be an obesity risk factor during the preschool years because of such effects on screen use, and highlight the need to consider household chaos when implementing home-based obesity prevention programs for young children.

Environmental Infrastructure Maintenance Bottlenecks in Healthcare Facilities and Coping Strategies Among Healthcare Workers in Niger.

Infrastructure for water, sanitation, hygiene, cleaning, and waste management is essential for supporting safe environmental conditions in healthcare facilities. Routine maintenance is important for preventing infrastructure breakdowns, but few studies have examined healthcare facility maintenance practices. This study documented environmental maintenance tasks in healthcare facilities in Niger, described bottlenecks to maintenance, and assessed strategies for coping with breakdowns. At 34 rural healthcare facilities in Niger, we conducted quantitative surveys to assess frequency of maintenance tasks and held qualitative interviews with healthcare facility staff to understand bottlenecks to maintenance. On at least a monthly basis, 4% of healthcare facilities inspected their water source and pump for the purpose of detecting and replacing worn parts, 15% inspected water taps and basins, and 29% inspected incinerators. Healthcare facility staff described barriers to accessing government funds for maintenance. Instead, they paid out of their own salaries or raised funds through appeals to community members or revenue generation initiatives. Other bottlenecks included ill-defined management responsibilities and difficulty of finding skilled technicians for maintenance. Findings highlight opportunities to support healthcare facilities in budgeting, advocacy, and training skilled technicians. Initiatives to install infrastructure at healthcare facilities will be more sustainable if they are accompanied by postconstruction planning, training, and funding for maintenance.

Effects of environmental conditions on healthcare worker wellbeing and quality of care: A qualitative study in Niger.

Environmental conditions (water, sanitation, hygiene, waste management, cleaning, energy, building design) are important for a safe and functional healthcare environment. Yet their full range of impacts are not well understood. In this study, we assessed the impact of environmental conditions on healthcare workers' wellbeing and quality of care, using qualitative interviews with 81 healthcare workers at 26 small healthcare facilities in rural Niger. We asked participants to report successes and challenges with environmental conditions and their impacts on wellbeing (physical, social, mental, and economic) and quality of care. We found that all environmental conditions contributed to healthcare workers' wellbeing and quality of care. The norm in facilities of our sample was poor environmental conditions, and thus participants primarily reported detrimental effects. We identified previously documented effects on physical health and safety from pathogen exposure, but also several novel effects on healthcare workers' mental and economic wellbeing and on efficiency, timeliness, and patient centeredness of care. Key wellbeing impacts included pathogen exposure for healthcare workers, stress from unsafe and chaotic working environments, staff dissatisfaction and retention challenges, out-of-pocket spending to avoid stockouts, and uncompensated labor. Key quality of care impacts included pathogen exposure for patients, healthcare worker time dedicated to non-medical tasks like water fetching (i.e., reduced efficiency), breakdowns and spoilage of equipment and supplies, and patient satisfaction with cleanliness and privacy. Inefficiency due to time lost and damaged supplies and equipment likely have substantial economic value and warrant greater consideration in research and policy making. Impacts on staff retention and care efficiency also have implications for health systems. We recommend that future research and decision making for policy and practice incorporate more holistic impact measures beyond just healthcare acquired infections and reconsider the substantial contribution that environmental conditions make to the safety of healthcare facilities and strength of health systems.

Contextualizing mobility during the Ebola epidemic in Liberia.

Based on findings from focus groups and key informant interviews conducted at five sites in Liberia between 2018 and 2019, we explore some of the key factors that influenced people's motivation to travel during the 2014-2016 Ebola Virus Disease (EVD). We discuss how these factors led to certain mobility patterns and the implications these had for EVD response. The reasons for individual mobility during the epidemic were multiple and diverse. Some movements were related to relocation efforts as people attempted to extricate themselves from stigmatizing situations. Others were motivated by fear, convinced that other communities would be safer, particularly if extended family members resided there. Individuals also felt compelled to travel during the epidemic to meet other needs and obligations, such as attending burial rites. Some expressed concerns about obtaining food and earning a livelihood. Notably, these latter concerns served as an impetus to travel surreptitiously to evade quarantine directives aimed specifically at restricting mobility. Improvements in future infectious disease response could be made by incorporating contextually-based mobility factors, for example: the personalization of public health messaging through the recruitment of family members and trusted local leaders, to convey information that would help allay fear and combat stigmatization; activating existing traditional community surveillance systems in which entry into the community must first be approved by the community chief; and increased involvement of local leaders and community members in the provision of food and care to those quarantined so that the need to travel for these reasons is removed.

Community trust of government and non-governmental organizations during the 2014-16 Ebola epidemic in Liberia.

The West African Ebola Virus Disease epidemic of 2014-16 cost more than 11,000 lives. Interventions targeting key behaviors to curb transmission, such as safe funeral practices and reporting and isolating the ill, were initially unsuccessful in a climate of fear, mistrust, and denial. Building trust was eventually recognized as essential to epidemic response and prioritized, and trust was seen to improve toward the end of the epidemic as incidence fell. However, little is understood about how and why trust changed during Ebola, what factors were most influential to community trust, and how different institutions might have been perceived under different levels of exposure to the outbreak. In this large-N household survey conducted in Liberia in 2018, we measured self-reported trust over time retrospectively in three different communities with different exposures to Ebola. We found trust was consistently higher for non-governmental organizations than for the government of Liberia across all time periods. Trust reportedly decreased significantly from the start to the peak of the epidemic in the study site of highest Ebola incidence. This finding, in combination with a negative association found between knowing someone infected and trust of both iNGOs and the government, indicates the experience of Ebola may have itself caused a decline of trust in the community. These results suggest that national governments should aim to establish trust when engaging communities to change behavior during epidemics. Further research on the relationship between trust and epidemics may serve to improve epidemic response efficacy and behavior uptake.

Barriers and Opportunities for Sustainable Hand Hygiene Interventions in Rural Liberian Hospitals.

Hand hygiene is central to hospital infection control. During the 2014-2016 West Africa Ebola virus disease epidemic in Liberia, gaps in hand hygiene infrastructure and health worker training contributed to hospital-based Ebola transmission. Hand hygiene interventions were undertaken post-Ebola, but many improvements were not sustainable. This study characterizes barriers to, and facilitators of, hand hygiene in rural Liberian hospitals and evaluates readiness for sustainable, locally derived interventions to improve hand hygiene. Research enumerators collected data at all hospitals in Bong and Lofa counties, Liberia, in the period March-May 2020. Enumerators performed standardized spot checks of hand hygiene infrastructure and supplies, structured observations of hand hygiene behavior, and semi-structured key informant interviews for thematic analysis. During spot checks, hospital staff reported that handwashing container water was always available in 89% (n = 42) of hospital wards, piped running water in 23% (n = 11), and soap in 62% (n = 29). Enumerators observed 5% of wall-mounted hand sanitizer dispensers (n = 8) and 95% of pocket-size dispensers (n = 53) to be working. In interviews, hospital staff described willingness to purchase personal hand sanitizer dispensers when hospital-provided supplies were unavailable. Low-cost, sustainable interventions should address supply and infrastructure-related obstacles to hospital hand hygiene improvement.

Feasibility, Acceptability, and Behavioral Outcomes from a Technology-enhanced Behavioral Change Intervention (Prostate 8): A Pilot Randomized Controlled Trial in Men with Prostate Cancer.

BACKGROUND: Increasing evidence suggests that lifestyle factors may decrease the risk of prostate cancer progression. Lifestyle guidelines and tools may support lifestyle modification after diagnosis. OBJECTIVE: To determine the feasibility and acceptability of a digital lifestyle intervention among men with prostate cancer. DESIGN, SETTING, AND PARTICIPANTS: A 12-wk pilot randomized controlled trial among 76 men with clinical stage T1-T3a prostate cancer. Eligibility included Internet access, no contraindications to aerobic exercise, and engaging in four or fewer of eight targeted behaviors at baseline. INTERVENTION: Website, Fitbit One, and text messaging to facilitate adoption of eight behaviors: vigorous activity, smoking cessation, and six diet improvements. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Our primary outcomes were feasibility and acceptability based on recruitment and user data, and surveys, respectively. Secondarily, we evaluated the change in eight lifestyle behaviors, and also objective physical activity. Each factor was assigned one point, for an overall "P8 score" (range 0-8). Analysis of covariance (ANCOVA) was conducted. Exploratory outcomes included quality of life, anthropometrics, and circulating biomarkers after 12wk, and behaviors after 1yr. RESULTS AND LIMITATIONS: At baseline, men in both arms met a median of three targeted behaviors. Sixty-four men (n=32 per arm) completed the study; 88% completed 12-wk assessments (intervention, 94%; control, 82%). Intervention participants wore their Fitbits a median of 82d (interquartile range [IQR]: 72-83), replied to a median of 71% of text messages (IQR: 57-89%), and visited the website a median of 3d (IQR: 2-5) over 12wk. Median (IQR) absolute changes in the P8 score from baseline to 12wk were 2 (1, 3) for the intervention and 0 (-1, 1) for the control arm. The estimated mean score of the intervention arm was 1.5 (95% confidence interval: 0.7, 2.3) higher than that of the control arm at 12wk (ANCOVA p<0.001). Changes were driven by diet rather than exercise. Limitations include self-reported diet and exercise data. CONCLUSIONS: Overall, in this novel pilot trial, the intervention was feasible and acceptable to men with prostate cancer. Next steps include improving the intervention to better meet individuals' needs and focusing on increasing physical activity in men not meeting nationally recommended physical activity levels. PATIENT SUMMARY: Tailored print materials combined with technology integration, including the use of a website, text messaging, and physical activity trackers, helped men with prostate cancer adopt healthy lifestyle habits, in particular recommended dietary changes, in the Prostate 8 pilot trial.

The Fitbit One Physical Activity Tracker in Men With Prostate Cancer: Validation Study.

BACKGROUND: Physical activity after cancer diagnosis improves quality of life and may lengthen survival. However, objective data in cancer survivors are limited and no physical activity tracker has been validated for use in this population. OBJECTIVE: The aim of this study was to validate the Fitbit One's measures of physical activity over 7 days in free-living men with localized prostate cancer. METHODS: We validated the Fitbit One against the gold-standard ActiGraph GT3X+ accelerometer in 22 prostate cancer survivors under free-living conditions for 7 days. We also compared these devices with the HJ-322U Tri-axis USB Omron pedometer and a physical activity diary. We used descriptive statistics (eg, mean, standard deviation, median, interquartile range) and boxplots to examine the distribution of average daily light, moderate, and vigorous physical activity and steps measured by each device and the diary. We used Pearson and Spearman rank correlation coefficients to compare measures of physical activity and steps between the devices and the diary. RESULTS: On average, the men wore the devices for 5.8 days. The mean (SD) moderate-to-vigorous physical activity (MVPA; minutes/day) measured was 100 (48) via Fitbit, 51 (29) via ActiGraph, and 110 (78) via diary. The mean (SD) steps/day was 8724 (3535) via Fitbit, 8024 (3231) via ActiGraph, and 6399 (3476) via pedometer. Activity measures were well correlated between the Fitbit and ActiGraph: 0.85 for MPVA and 0.94 for steps (all P<.001). The Fitbit's step measurements were well correlated with the pedometer (0.67, P=.001), and the Fitbit's measure of MVPA was well correlated with self-reported activity in the diary (0.84; P<.001). CONCLUSIONS: Among prostate cancer survivors, the Fitbit One's activity and step measurements were well correlated with the ActiGraph GT3X+ and Omron pedometer. However, the Fitbit One measured two times more MVPA on average compared with the ActiGraph.