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1.
PLOS global public health ; 1(12), 2021.
Article in English | EuropePMC | ID: covidwho-2266178

ABSTRACT

Health workers involved in the COVID-19 response might be at risk of developing fear and psychological distress. The study aimed to identify factors associated with COVID-19 fear among health workers in Nepal during the early phase of the pandemic. A web-based survey was conducted in April-May 2020 among 475 health workers directly involved in COVID-19 management. The Fear Scale of COVID 19 (FCV-19S) was used to measure the status of fear. Multivariable logistic regression was performed to identify factors associated with COVID fear. The presence of COVID-19 fear was moderately correlated with anxiety and depression, and weakly correlated with insomnia. Nurses, health workers experiencing stigma, working in affected district, and presence of family members with chronic diseases were significantly associated with higher odds of developing COVID-19 fear. Based on the study findings, it is recommended to improve the work environment to reduce fear among health workers, employ stigma reduction interventions, and ensure personal and family support for those having family members with chronic diseases.

2.
PLOS Glob Public Health ; 1(12): e0000083, 2021.
Article in English | MEDLINE | ID: covidwho-2098670

ABSTRACT

Health workers involved in the COVID-19 response might be at risk of developing fear and psychological distress. The study aimed to identify factors associated with COVID-19 fear among health workers in Nepal during the early phase of the pandemic. A web-based survey was conducted in April-May 2020 among 475 health workers directly involved in COVID-19 management. The Fear Scale of COVID 19 (FCV-19S) was used to measure the status of fear. Multivariable logistic regression was performed to identify factors associated with COVID fear. The presence of COVID-19 fear was moderately correlated with anxiety and depression, and weakly correlated with insomnia. Nurses, health workers experiencing stigma, working in affected district, and presence of family members with chronic diseases were significantly associated with higher odds of developing COVID-19 fear. Based on the study findings, it is recommended to improve the work environment to reduce fear among health workers, employ stigma reduction interventions, and ensure personal and family support for those having family members with chronic diseases.

3.
J Epidemiol Community Health ; 76(9): 833-838, 2022 09.
Article in English | MEDLINE | ID: covidwho-1993048

ABSTRACT

Recent crises have underscored the importance that housing has in sustaining good health and, equally, its potential to harm health. Considering this and building on Howden-Chapman's early glossary of housing and health and the WHO Housing and Health Guidelines, this paper introduces a range of housing and health-related terms, reflecting almost 20 years of development in the field. It defines key concepts currently used in research, policy and practice to describe housing in relation to health and health inequalities. Definitions are organised by three overarching aspects of housing: affordability (including housing affordability stress (HAS) and fuel poverty), suitability (including condition, accessibility and sustainable housing) and security (including precarious housing and homelessness). Each of these inter-related aspects of housing can be either protective of, or detrimental to, health. This glossary broadens our understanding of the relationship between housing and health to further promote interdisciplinarity and strengthen the nexus between these fields.


Subject(s)
Health Status , Housing , Costs and Cost Analysis , Ill-Housed Persons , Housing/economics , Humans , Poverty
4.
Global Health ; 18(1): 8, 2022 01 31.
Article in English | MEDLINE | ID: covidwho-1662420

ABSTRACT

Nepal's Primary Health Care (PHC) is aligned vertically with disease control programs at the core and a vast network of community health workers at the periphery. Aligning with the globalization of health and the factors affecting global burden of diseases, Nepal echoes the progressive increase in life expectancy, changes in diseases patterns, including the current impact of COVID-19. Nepal's health system is also accommodating recent federalization, and thus it is critical to explore how the primary health care system is grappling the challenges amidst these changes. In this review, we conducted a narrative synthesis of literature to explore the challenges related to transformation of Nepal's primary health care delivery system to meet the demands incurred by impact of globalization and recent federalization, covering following database: PubMED, Embase and Google Scholar. Of the 49 articles abstracted for full text review, 37 were included in the analyses. Existing theories were used for constructing the conceptual framework to explain the study findings. The results are divided into four themes. Additional searches were conducted to further support the narrative synthesis: a total of 46 articles were further included in the articulation of main findings. Transforming Nepal's primary health care system requires a clear focus on following priority areas that include i) Revised efforts towards strengthening of community based primary health care units; ii) Adapting vertical programs to federal governance; iii) Reinforcing the health insurance scheme; and iv) Strengthening an existing network of community health workers and health human resources. This review discusses how these broad goals bear challenges and opportunities.


Subject(s)
COVID-19 , Global Health , Community Health Workers , Delivery of Health Care , Humans , Nepal , Primary Health Care , SARS-CoV-2
5.
Disaster Med Public Health Prep ; : 1-9, 2021 Jun 18.
Article in English | MEDLINE | ID: covidwho-1361589

ABSTRACT

BACKGROUND: Rapidly growing coronavirus disease 2019 (COVID-19) pandemic has brought unprecedented challenges to the health system in Nepal. The main objective of this study was to explore the health system preparedness for COVID-19 and its impacts on frontline health-care workers in Nepal. METHODS: Semi-structured interviews were conducted among 32 health-care workers who were involved in clinical care of COVID-19 patients and four policy-makers who were responsible for COVID-19 control and management at central and provincial level. Interviews were conducted through telephone or Internet-based tools such as Zoom and Skype. All interviews were audio-recorded, transcribed into English, and coded using inductive and deductive approaches. RESULTS: Both health-care workers and policy-makers reported failure to initiate pre-emptive control measures at the early stages of the outbreak as the pivot in pandemic control. Although several measures were rolled out when cases started to appear, the overall health system preparedness was low. The poor governance, and coordination between three tiers of government was compounded by the inadequate personal protective equipment for health-care workers, insufficient isolation beds for patients, and poor engagement of the private sector. Frontline health-care workers experienced various degrees of stigma because of their profession and yet were able to maintain their motivation to continue serving patients. CONCLUSION: Preparedness for COVID-19 was affected by the poor coordination between three tiers of governance. Specifically, the lack of human resources, inadequate logistic chain management and laboratory facilities for testing COVID-19 appeared to have jeopardized the health system preparedness and escalated the pandemic in Nepal. Despite the poor preparedness, and health and safety concerns, health-care workers maintained their motivation. There is an urgent need for an effective coordination mechanism between various tiers of health structure (including private sector) in addition to incentivizing the health-care workers for the current and future pandemics.

6.
Infect Dis Poverty ; 10(1): 96, 2021 Jul 05.
Article in English | MEDLINE | ID: covidwho-1337526

ABSTRACT

BACKGROUND: The transmission dynamics and severity of coronavirus disease 2019 (COVID-19) pandemic is different across countries or regions. Differences in governments' policy responses may explain some of these differences. We aimed to compare worldwide government responses to the spread of COVID-19, to examine the relationship between response level, response timing and the epidemic trajectory. METHODS: Free publicly-accessible data collected by the Coronavirus Government Response Tracker (OxCGRT) were used. Nine sub-indicators reflecting government response from 148 countries were collected systematically from January 1 to May 1, 2020. The sub-indicators were scored and were aggregated into a common Stringency Index (SI, a value between 0 and 100) that reflects the overall stringency of the government's response in a daily basis. Group-based trajectory modelling method was used to identify trajectories of SI. Multivariable linear regression models were used to analyse the association between time to reach a high-level SI and time to the peak number of daily new cases. RESULTS: Our results identified four trajectories of response in the spread of COVID-19 based on when the response was initiated: before January 13, from January 13 to February 12, from February 12 to March 11, and the last stage-from March 11 (the day WHO declared a pandemic of COVID-19) on going. Governments' responses were upgraded with further spread of COVID-19 but varied substantially across countries. After the adjustment of SI level, geographical region and initiation stages, each day earlier to a high SI level (SI > 80) from the start of response was associated with 0.44 (standard error: 0.08, P < 0.001, R2 = 0.65) days earlier to the peak number of daily new case. Also, each day earlier to a high SI level from the date of first reported case was associated with 0.65 (standard error: 0.08, P < 0.001, R2 = 0.42) days earlier to the peak number of daily new case. CONCLUSIONS: Early start of a high-level response to COVID-19 is associated with early arrival of the peak number of daily new cases. This may help to reduce the delays in flattening the epidemic curve to the low spread level.


Subject(s)
COVID-19/epidemiology , Global Health/statistics & numerical data , Government , Health Policy , Humans , Multivariate Analysis , Pandemics , Quarantine , Time Factors
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