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      Understanding health seeking behaviors to inform COVID-19 surveillance and detection in resource-scarce settings

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          Abstract

          As the COVID-19 pandemic continues its deadly reign all over the world, devising and implementing effective strategy for detecting and controlling the infection has become ever more critical. While a number of developed countries have utilized mass community testing of suspected infection to effectively manage the spread and severity of the pandemic, less-developed nations struggle to implement similar measure due to various financial and human resource constrains faced by their health system. In this viewpoint, we discuss how by understanding health seeking behavior of a country’s population, developing countries can identify and set priorities to most resource-efficient disease management measures, which then would help them achieve successes in controlling COVID-19 in their countries. The viewpoint concludes with an example of such success cases. As of July 18, 2020, there have been over 13.8 million confirmed cases of SARS-COV-2 with death toll amounted to 593 087 [1]. A number of countries, mostly developed nations with long-considered advanced health care system have started rolling out mass community testing for the virus, alongside with restrictions on population mobility. Some experts have argued that population-wide testing is a more reliable and reasonable way of detecting and controlling the infection – as the economy and individual’s mental health suffer the side effects of quarantine and social distancing, while the uncertainty of when the disease will peak and what follows is still looming [2]. The situation is more complicated, though, for developing nations with frequently over-burdened health system and rather diverse health seeking behaviors, such that community-wide testing per se may not be the most appropriate and effective choice. The lack of health professionals, limited financial resources for health care, and the under-developed health infrastructure may all be challenges in implementing mass testing of SARS-COV-2 in the community in developing countries. In a time of need for pandemic response, even mobilization of resources and support from donations may not help overcome these problems completely. Setting priorities to target interventions by identifying suspected cases in various geographical locations requires the understanding of health seeking behaviors among local communities. While most people in Western countries visit health clinics or family doctors when perceiving a health problem, previous studies have described various contextual factors and barriers that shape access and utilization of health care services in resource-scare settings [3,4]. Many residents prefer to purchase un-prescribed medications at pharmacies for self-treatment, or visit traditional healers, private or non-registered clinics, rather than hospitals and official health stations as places of first contact for health issues (for example, people in Pakistan regions (39.1%) and Indonesia regions (42.9%) preferred going to pharmacy first to treat illness; Table 1 ). This would be a larger obstacle to confirming and monitoring cases, especially in the early stages of COVID-19 epidemics, including cases importation and cluster transmission. Table 1 Examples of health seeking behaviors in countries with frequent local epidemics (Unit: %) Ref. Countries District Health problem/population Medical health providers Pharmacy Self-treatment Others Not seeking Grass-root Commune health station Hospital central Private hospital Private clinics Traditional medicine worker [5] Indonesia Papua Malaria 32.2 37.8 · 6.1 . 24.0 [6] Indonesia West Java Fatal illnesses in young children 36.0 42.4 21.6 [7] Indonesia Jogjakarta Tuberculosis 40.8 40.8 11.3 [8] Uganda Kampala Chronic cough 59.6 25.0 0.6 13.5 1.3 [9] Pakistan Islamabad Students 26.6 73.4 [10] Pakistan Rawalpindi, Islamabad, Abbotabad, Peshawar General problem 18.4 26.2 39.1 23.5 [11] Indonesia West Java Rural population 16.6 12.6 5.7 42.9 20.5 [12] Pakistan Karachi Terminal child illness 14.0 15.0 68.0 3.0 [13] Bangladesh Bangladesh Childhood acute respiratory tract infections 12.5 24.7 26.3 26.4 10.3 [14] Ethiopia Gambella Sexually transmitted infections Rank 2* Rank 1 56.8 [15] Indonesia South Sulawesi Elderly health problem Rank 1 Rank 3 Rank 2 [16] South Africa Johannesburg Common infectious Rank 2 Rank 3 Rank 2 Rank 4 Rank 1 Rank 5 [17] China Hong Kong Respiratory and gastrointestinal-related infections Rank 3 Rank 2 Rank 1 [18] Guatemala Chimaltenango, Totonicapán, Suchitepequez Jalapa Child illness Rank 2 Rank 3 Rank 4 Rank 1 Ref. – reference *For publication where no indication of percentage (%) of participant using a provider is found, we ranked the providers in terms of time of contact (ie, first contact will be Rank 1) People with mild COVID-19 symptoms that in many cases are similar to a common or seasonal cold, do not thinking that they may have been infected with the virus, and may go to these non-official health facilities for medication, increasing the risk of exposure of others while limiting the chance of tracing back to first infection case (F0). They may be long gone before other positive cases infected by them are detected. In addition, people who believed they might have been infected based on their symptoms may also ask their families and friends to get their medication from health workers in the communities or from the pharmacies, rather than going to hospitals or testing centers. Such behavior is likely to be induced by the fear of stigma towards them, should they be tested positive, as well as fear of having their whole families transferred to quarantine location, or having to disclose their past activities for contact tracing. SARS-COV-2 associated stigma, which can undermine the testing and monitoring efforts, has been one of the major concerns of health experts and organizations globally [19]. The habit and ease of seeking health advice and medication from pharmacies, traditional health providers, and private/non-official clinics in developing countries is likely to exacerbate such problem. Photo: Rapid COVID-19 testing registration desk in Hanoi (from: Truyền Hình Pháp Luật, via https://commons.wikimedia.org/wiki/File:Vietnamese_registered_for_rapid_testing_(COVID-19).png). To effectively detect and control the SAR-COV-2 infection in these resource-scarce settings, thus, would require the active and thorough involvement of health facilities other than hospitals and official health centers, especially in more remote regions where accessibility to official health care is limited. Pharmacies, traditional healers, village health collaborators, private clinics, or mobile independent health workers in the commune should be considered as gatekeepers in a closely connected network of COVID-19 surveillance. Ideally, a well-determined mechanism for timely information sharing between these first contact points and higher-level and specialized taskforces should be established. Staff at these facilities should be trained to detect signs and epidemiological history of suspected COVID-19 cases from or relating to their customers while being provided with sufficient equipment for their own disease protection. These local health gatekeepers can also be effective, community-based, and far-reaching channels in which accurate information regarding COVID-19 knowledge and response can be delivered to the individuals. For example, pharmacists can persuade disease-suspecting customers to visit hospital or testing centers. In addition, due to their proximity to the residency and familiarity with local residents, these facilities would also be points via which intervention packages being delivered to the community, in the unfortunate case of prolonged disease. One of the examples of how understanding health seeking behavior of population can result in effective strategies for detecting and controlling SARS-COV-2 infections is the case of Vietnam. A low middle income country with health system facing numerous constrains, Vietnam has so far managed to keep the number of SARS-COV-2 confirmed infected cases at 382 and no mortality as of 18 July 2020, through effective utilization of the network of non-official, community-based health facilities and pharmacies, based on the knowledge that majority of the Vietnamese population would prefer going to these local, non-official health workforce when having health problems [20]. We believe that this current success story would further encourage similar resource-scarce settings all over the world to pay more attention to health seeking behaviors of their population and effects of such behaviors on disease management when developing and implementing COVID-19 surveillance and detection measures.

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          Most cited references17

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          How does context influence performance of community health workers in low- and middle-income countries? Evidence from the literature

          Background Community health workers (CHWs) are increasingly recognized as an integral component of the health workforce needed to achieve public health goals in low- and middle-income countries (LMICs). Many factors intersect to influence CHW performance. A systematic review with a narrative analysis was conducted to identify contextual factors influencing performance of CHWs. Methods We searched six databases for quantitative, qualitative, and mixed-methods studies that included CHWs working in promotional, preventive or curative primary health care services in LMICs. We differentiated CHW performance outcome measures at two levels: CHW level and end-user level. Ninety-four studies met the inclusion criteria and were double read to extract data relevant to the context of CHW programmes. Thematic coding was conducted and evidence on five main categories of contextual factors influencing CHW performance was synthesized. Results Few studies had the influence of contextual factors on CHW performance as their primary research focus. Contextual factors related to community (most prominently), economy, environment, and health system policy and practice were found to influence CHW performance. Socio-cultural factors (including gender norms and values and disease related stigma), safety and security and education and knowledge level of the target group were community factors that influenced CHW performance. Existence of a CHW policy, human resource policy legislation related to CHWs and political commitment were found to be influencing factors within the health system policy context. Health system practice factors included health service functionality, human resources provisions, level of decision-making, costs of health services, and the governance and coordination structure. All contextual factors can interact to shape CHW performance and affect the performance of CHW interventions or programmes. Conclusions Research on CHW programmes often does not capture or explicitly discuss the context in which CHW interventions take place. This synthesis situates and discusses the influence of context on CHW and programme performance. Future health policy and systems research should better address the complexity of contextual influences on programmes. This insight can help policy makers and programme managers to develop CHW interventions that adequately address and respond to context to optimise performance. Electronic supplementary material The online version of this article (doi:10.1186/s12961-015-0001-3) contains supplementary material, which is available to authorized users.
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            Disease Control, Civil Liberties, and Mass Testing — Calibrating Restrictions during the Covid-19 Pandemic

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              Prevalence, determinants and health care-seeking behavior of childhood acute respiratory tract infections in Bangladesh

              Background Acute respiratory infections (ARIs) are one of the leading causes of child mortality worldwide and contribute significant health burden for developing nations such as Bangladesh. Seeking care and prompt management is crucial to reduce disease severity and to prevent associated morbidity and mortality. Objective This study investigated the prevalence and care-seeking behaviors among under-five children in Bangladesh and identified factors associated with ARI prevalence and subsequent care-seeking behaviors. Method The present study analyzed cross-sectional data from the 2014 Bangladesh Demographic Health Survey. Bivariate analysis was performed to estimate the prevalence of ARIs and associated care-seeking. Logistic regression analysis was used to determine the influencing socio-economic and demographic predictors. A p-value of <0.05 was considered as the level of significance. Result Among 6,566 under-five children, 5.42% had experienced ARI symptoms, care being sought for 90% of affected children. Prevalence was significantly higher among children < 2 years old, and among males. Children from poorer and the poorest quintiles of households were 2.40 (95% CI = 1.12, 5.15) and 2.36 (95% CI = 1.06, 5.24) times more likely to suffer from ARIs compared to the wealthiest group. Seeking care was significantly higher among female children (AOR = 2.19, 95% CI = 0.94, 5.12). The likelihood of seeking care was less for children belonging to the poorest quintile compared to the richest (AOR = 0.03, 95% CI = 0.01, 0.55). Seeking care from untrained providers was 3.74 more likely among rural residents compared to urban (RRR = 3.74, 95% CI = 1.10, 12.77). Conclusion ARIs continue to contribute high disease burden among under-five children in Bangladesh lacking of appropriate care-seeking behavior. Various factors, such as age and sex of the children, wealth index, the education of the mother, and household lifestyle factors were significantly associated with ARI prevalence and care-seeking behaviors. In addition to public-private actions to increase service accessibility for poorer households, equitable and efficient service distribution and interventions targeting households with low socio-economic status and lower education level, are recommended.
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                Author and article information

                Journal
                J Glob Health
                J Glob Health
                JGH
                Journal of Global Health
                International Society of Global Health
                2047-2978
                2047-2986
                December 2020
                19 December 2020
                : 10
                : 2
                : 0203106
                Affiliations
                [1 ]Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
                [2 ]Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
                [3 ]Center of Excellence in Evidence-based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
                [4 ]Institute for Global Health Innovations, Duy Tan University, Da Nang, Vietnam
                [5 ]Faculty of Pharmacy, Duy Tan University, Danang, Vietnam
                [6 ]Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
                [7 ]Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, Singapore
                [8 ]Department of Psychological Medicine, National University Hospital, Singapore, Singapore
                Author notes
                Correspondence to:
Bach Xuan Tran, PhD
Associate Professor,Vice Head, Department of Health Economics
Institute for Preventive Medicine and Public Health, Hanoi Medical University
No. 1 Ton That Tung street
Dong Da district
Hanoi 100000
Viet Nam
 bach.ipmph2@ 123456gmail.com
                Article
                jogh-10-0203106
                10.7189/jogh.10.0203106
                7750016
                33403109
                0a9678f7-2302-4275-99e4-4125f7045fdc
                Copyright © 2020 by the Journal of Global Health. All rights reserved.

                This work is licensed under a Creative Commons Attribution 4.0 International License.

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