scholarly journals Strengthening health system building blocks: configuring post-COVID-19 scenario in Pakistan

2021 ◽  
Vol 22 ◽  
Author(s):  
Babar Tasneem Shaikh
Keyword(s):  
Public Health ◽  
Developing Countries ◽  
Health System ◽  
Emergency Preparedness ◽  
Virus Disease ◽  
Building Blocks ◽  
Research Capacity ◽  
Control Measures ◽  
World Health ◽  
The Government

Abstract Aim: To gauge the level of preparedness of health system of Pakistan in the wake of Corona Virus Disease 2019 (COVID-19) pandemic. Background: The global COVID-19 outbreak and its subsequent repercussions and implications, after being declared as a pandemic by the World Health Organization (WHO), exposed all the inherent, lingering, and acute shortcomings of the health systems in many developing countries and Pakistan was no exception. Methods: A detailed literature review was done which included peer-reviewed articles on COVID-19 and health system, published in local and international journals, WHO and World Bank’s publications, and the documents and official reports of the government. Focus was to glean and cite strategies adopted by the developing countries in response to COVID-19 and to see the applicability of those which are feasible for Pakistan. Findings: Level of preparedness was minimal and the response to manage the outbreak was weak. Based on toll of the cases and number of deaths, this public health threat turned out to be a catastrophe beyond the controlling authority and capacity of the health system, and hence other sectors and agencies had to be engaged for devising a concerted and integrated response to deal with the emergency. Governance was disorderly, financing was inadequate, human resources were not trained, supplies and logistic were not stocked, information system was patchy, and research capacity was limited, and most of all the service delivery was in a biggest chaos of times. COVID-19 demanded to re-configure the health system of Pakistan. Conclusion: Improving the emergency preparedness of the hospitals is the foremost and an urgent need. A strong national public health system in Pakistan is needed to rapidly investigate and analyze the reports, assess the magnitude of the public health risk, share real-time information, and implement public health control measures in a concerted and systematic demeanor.

scholarly journals Health systems readiness to provide geriatric friendly care services in Uganda: a cross-sectional study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jude Thaddeus Ssensamba ◽  
Moses Mukuru ◽  
Mary Nakafeero ◽  
Ronald Ssenyonga ◽  
Suzanne N. Kiwanuka
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Facility ◽  
Health Systems ◽  
Building Blocks ◽  
Health Facilities ◽  
Health Centers ◽  
World Health ◽  
Care Services ◽  
Southern Central

Abstract Background As ageing emerges as the next public health threat in Africa, there is a paucity of information on how prepared its health systems are to provide geriatric friendly care services. In this study, we explored the readiness of Uganda’s public health system to offer geriatric friendly care services in Southern Central Uganda. Methods Four districts with the highest proportion of old persons in Southern Central Uganda were purposively selected, and a cross-section of 18 randomly selected health facilities (HFs) were visited and assessed for availability of critical items deemed important for provision of geriatric friendly services; as derived from World Health Organization’s Age-friendly primary health care centres toolkit. Data was collected using an adapted health facility geriatric assessment tool, entered into Epi-data software and analysed using STATA version 14. Kruskal-Wallis and Dunn’s post hoc tests were conducted to determine any associations between readiness, health facility level, and district. Results The overall readiness index was 16.92 (SD ±4.19) (range 10.8–26.6). This differed across districts; Lwengo 17.91 (SD ±3.15), Rakai 17.63 (SD ±4.55), Bukomansimbi 16.51 (SD ±7.18), Kalungu 13.74 (SD ±2.56) and facility levels; Hospitals 26.62, Health centers four (HCIV) 20.05 and Health centers three (HCIII) 14.80. Low readiness was due to poor scores concerning; leadership (0%), financing (0%), human resources (1.7%) and health management information systems (HMIS) (11.8%) WHO building blocks. Higher-level HFs were statistically significantly friendlier than lower-level HFs (p = 0.015). The difference in readiness between HCIIIs and HCIVs was 2.39 (p = 0.025). Conclusion There is a low readiness for public health facilities to provide geriatric friendly care services in Uganda. This is due to gaps in all of the health system building blocks. There is a need for health system reforms in Uganda to adequately cater for service provision for older adults if the 2020 global healthy ageing goal is to be met.

scholarly journals Health systems readiness to provide geriatric friendly care services in Uganda: a cross-sectional study

2019 ◽  
Author(s):  
Jude Thaddeus Ssensamba ◽  
Moses Mukuru ◽  
Mary Nakafeero ◽  
Ronald Ssenyonga ◽  
Suzanne N Kiwanuka
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Facility ◽  
Health Systems ◽  
Building Blocks ◽  
Health Facilities ◽  
Health Centers ◽  
World Health ◽  
Care Services ◽  
Southern Central

Abstract Background As ageing emerges as the next public health threat in Africa, there is a paucity of information on how prepared its health systems are to provide geriatric friendly care services. In this study, we explored the readiness of Uganda’s public health system to provide geriatric friendly care services in Southern Central Uganda. Methods Four districts with the highest proportion of old persons in Southern Central Uganda were purposively selected, and a cross section of 18 randomly selected health facilities (HFs) were visited and assessed for availability of key items deemed important for provision of geriatric friendly services; as derived from World Health Organization’s Age-friendly primary health care centres toolkit. Data was collected using an adapted health facility geriatric assessment tool, entered into Epi-data software and analysed using STATA version 14. Kruskal-Wallis and Dunn’s post hoc tests were conducted to determine any associations between readiness, health facility level and district. Results The overall readiness index was 16.92 (SD ±4.19) (range 10.8 - 26.6). This differed across districts; Lwengo 17.91 (SD ±3.15), Rakai 17.63 (SD ±4.55), Bukomansimbi 16.51 (SD ±7.18), Kalungu 13.74 (SD ±2.56) and facility levels; Hospitals 26.62, Health centers four (HCIV) 20.05 and Health centers three (HCIII) 14.80. Low readiness was due to poor scores with regard to; leadership (0%), financing (0%), human resources (1.7%) and health management information systems (HMIS) (11.8%) WHO building blocks. Higher level HFs were statistically significantly friendlier than lower level HFs (p= 0.015). The difference in readiness between HCIIIs and HCIVs was 2.39 (p=0.025). Conclusion There is low readiness of public health facilities to provide geriatric friendly care services in Uganda. This is due to gaps in all of the health system building blocks. There is a need for health system reforms in Uganda to adequately cater for service provision for old people if the 2020 global healthy ageing goal is to be met.

scholarly journals Optimal Control Measures to Combat COVID 19 Spread in Sri Lanka: A Mathematical Model Considering the Heterogeneity of Cases

2020 ◽  
Author(s):  
Tharindu Wickramaarachchi ◽  
Sanjeewa Perera
Keyword(s):  
Public Health ◽  
Mathematical Model ◽  
Optimal Control ◽  
Sri Lanka ◽  
Health System ◽  
Economic Cost ◽  
Control Measures ◽  
Disease Spread ◽  
Local Case ◽  
The Government

The COVID 19 pandemic caused by the novel corona virus (SARS-CoV-2) has been one of the major public health concerns across the globe, currently more than 3.5 million individuals have been infected, and the number of deaths has passed 250,000. The world wide burden of the disease has been massive, and the governments are in dilemma to protect the health system of the country while safeguarding the economy. There is no vaccine or antivirus drug found against this virus while multiple research groups are actively working on a suitable candidate. The only available mode of minimizing the disease burden has been to control its transmission among the population. Since the occurrence of first COVID 19 local case on 11 March 2020, the government of Sri Lanka introduced serious social distancing and public health interventions in its fullest capacity as a developing nation to effectively combat with the disease spread. This study focuses to develop a mathematical model to investigate the dynamic of this novel disease using an extended version of an SEIR compartmental structure considering the heterogeneity of cases such as asymptomatic, symptomatic with mild indications and the cases required intensive care treatments. All the measures and interventions are in progress with a significantly large social and economic cost, thus, optimal control techniques are used to identify the most appropriate strategies to minimize this cost. The results of the simulations prove that optimal control measures can be worked out as the epidemic curves are flattened while delaying the outbreak so that the health system might not be under pressure to treat and care the patients.

scholarly journals Assessing the impact of non-pharmaceutical interventions (NPI) on the dynamics of COVID-19: A mathematical modelling study of the case of Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259874
Author(s):  
Bedilu Alamirie Ejigu ◽  
Manalebish Debalike Asfaw ◽  
Lisa Cavalerie ◽  
Tilahun Abebaw ◽  
Mark Nanyingi ◽  
...  
Keyword(s):  
Public Health ◽  
Health System ◽  
System Capacity ◽  
World Health ◽  
Rural Populations ◽  
Peak Time ◽  
The World ◽  
The Government ◽  
The Impact ◽  
Pharmaceutical Interventions

The World Health Organization (WHO) declared COVID-19 a pandemic on March 11, 2020 and by November 14, 2020 there were 53.3M confirmed cases and 1.3M reported deaths in the world. In the same period, Ethiopia reported 102K cases and 1.5K deaths. Effective public health preparedness and response to COVID-19 requires timely projections of the time and size of the peak of the outbreak. Currently, Ethiopia under the COVAX facility has begun vaccinating high risk populations but due to vaccine supply shortages and the absence of an effective treatment, the implementation of NPIs (non-pharmaceutical interventions), like hand washing, wearing face coverings or social distancing, still remain the most effective methods of controlling the pandemic as recommended by WHO. This study proposes a modified Susceptible Exposed Infected and Recovered (SEIR) model to predict the number of COVID-19 cases at different stages of the disease under the implementation of NPIs at different adherence levels in both urban and rural settings of Ethiopia. To estimate the number of cases and their peak time, 30 different scenarios were simulated. The results indicated that the peak time of the pandemic is different in urban and rural populations of Ethiopia. In the urban population, under moderate implementation of three NPIs the pandemic will be expected to reach its peak in December, 2020 with 147,972 cases, of which 18,100 are symptomatic and 957 will require admission to an Intensive Care Unit (ICU). Among the implemented NPIs, increasing the coverage of wearing masks by 10% could reduce the number of new cases on average by one-fifth in urban-populations. Varying the coverage of wearing masks in rural populations minimally reduces the number of cases. In conclusion, the models indicate that the projected number of hospital cases during the peak time is higher than the Ethiopian health system capacity. To contain symptomatic and ICU cases within the health system capacity, the government should pay attention to the strict implementation of the existing NPIs or impose additional public health measures.

scholarly journals Health systems readiness to provide geriatric friendly care services in Uganda: a cross-sectional study

2019 ◽  
Author(s):  
Jude Thaddeus Ssensamba ◽  
Moses Mukuru ◽  
Mary Nakafeero ◽  
Ronald Ssenyonga ◽  
Suzanne N Kiwanuka
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Facility ◽  
Health Systems ◽  
Building Blocks ◽  
Health Facilities ◽  
Health Centers ◽  
World Health ◽  
Care Services ◽  
Southern Central

Abstract Background As ageing emerges as the next public health threat in Africa, there is a paucity of information on how prepared its health systems are to provide geriatric friendly care services. In this study, we explored the readiness of Uganda’s public health system to provide geriatric friendly care services in Southern Central Uganda. Methods Four districts with the highest proportion of old persons in Southern Central Uganda were purposively selected, and a cross section of 18 randomly selected health facilities (HFs) were visited and assessed for availability of key items deemed important for provision of geriatric friendly services; as derived from World Health Organization’s Age-friendly primary health care centres toolkit. Data was collected using an adapted health facility geriatric assessment tool, entered into Epi-data software and analysed using STATA version 14. Kruskal-Wallis and Dunn’s post hoc tests were conducted to determine any associations between readiness, health facility level and district. Results The overall readiness index was 16.92 (SD ±4.19) (range 10.8 - 26.6). This differed across districts; Lwengo 17.91 (SD ±3.15), Rakai 17.63 (SD ±4.55), Bukomansimbi 16.51 (SD ±7.18), Kalungu 13.74 (SD ±2.56) and facility levels; Hospitals 26.62, Health centers four (HCIV) 20.05 and Health centers three (HCIII) 14.80. Low readiness was due to poor scores with regard to; leadership (0%), financing (0%), human resources (1.7%) and health management information systems (HMIS) (11.8%) WHO building blocks. Higher level HFs were statistically significantly friendlier than lower level HFs (p= 0.015). The difference in readiness between HCIIIs and HCIVs was 2.39 (p=0.025). Conclusion There is low readiness of public health facilities to provide geriatric friendly care services in Uganda. This is due to gaps in all of the health system building blocks. There is a need for health system reforms in Uganda to adequately cater for service provision for old people if the 2020 global healthy ageing goal is to be met.

scholarly journals Health systems readiness to provide geriatric friendly care services in Uganda: a cross-sectional study

2019 ◽  
Author(s):  
Jude Thaddeus Ssensamba ◽  
Moses Mukuru ◽  
Mary Nakafeero ◽  
Ronald Ssenyonga ◽  
Suzanne N Kiwanuka
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Facility ◽  
Health Systems ◽  
Building Blocks ◽  
Health Facilities ◽  
Health Centers ◽  
World Health ◽  
Care Services ◽  
Southern Central

Abstract Background As ageing emerges as the next public health threat in Africa, there is a paucity of information on how prepared its health systems are to provide geriatric friendly care services. In this study, we explored the readiness of Uganda’s public health system to provide geriatric friendly care services in Southern Central Uganda. Methods Four districts with the highest proportion of old persons in Southern Central Uganda were purposively selected, and a cross section of 18 randomly selected health facilities (HFs) were visited and assessed for availability of key items deemed important for provision of geriatric friendly services; as derived from World Health Organization’s Age-friendly primary health care centres toolkit. Data was collected using an adapted health facility geriatric assessment tool, entered into Epi-data software and analysed using STATA version 14. Kruskal-Wallis and Dunn’s post hoc tests were conducted to determine any associations between readiness, health facility level and district. Results The overall readiness index was 16.92 (SD ±4.19) (range 10.8 - 26.6). This differed across districts; Lwengo 17.91 (SD ±3.15), Rakai 17.63 (SD ±4.55), Bukomansimbi 16.51 (SD ±7.18), Kalungu 13.74 (SD ±2.56) and facility levels; Hospitals 26.62, Health centers four (HCIV) 20.05 and Health centers three (HCIII) 14.80. Low readiness was due to poor scores with regard to; leadership (0%), financing (0%), human resources (1.7%) and health management information systems (HMIS) (11.8%) WHO building blocks. Higher level HFs were statistically significantly friendlier than lower level HFs (p= 0.015). The difference in readiness between HCIIIs and HCIVs was 2.39 (p=0.025). Conclusion There is low readiness of public health facilities to provide geriatric friendly care services in Uganda. This is due to gaps in all of the health system building blocks. There is a need for health system reforms in Uganda to adequately cater for service provision for old people if the 2020 global healthy ageing goal is to be met.

scholarly journals Assessing the impact of non-pharmaceutical interventions (NPI) on the dynamics of COVID-19: A mathematical modelling study in the case of Ethiopia

2020 ◽  
Author(s):  
Bedilu Alamirie Ejigu ◽  
Manalebish Debalike Asfaw ◽  
Lisa Cavalerie ◽  
Tilahun Abebaw ◽  
Mark Nanyingi ◽  
...  
Keyword(s):  
Public Health ◽  
Health System ◽  
System Capacity ◽  
World Health ◽  
Rural Populations ◽  
Peak Time ◽  
The World ◽  
The Government ◽  
The Impact ◽  
Pharmaceutical Interventions

AbstractThe World Health Organisation (WHO) declared COVID-19 a pandemic on March 11, 2020 and by November 14, 2020 there were 53.3M confirmed cases and 1.3M reported deaths in the world. In the same period, Ethiopia reported 102K cases and 1.5K deaths. Effective public health preparedness and response to COVID-19 requires timely projections of the time and size of the peak of the outbreak. Currently, in the absence of vaccine or effective treatment, the implementation of NPIs (non-pharmaceutical interventions), like hand washing, wearing face coverings or social distancing, is recommended by WHO to bring the pandemic under control. This study proposes a modified Susceptible Exposed Infected and Recovered (SEIR) model to predict the number of COVID-19 cases at different stages of the disease under the implementation of NPIs with different adherence levels in both urban and rural settings of Ethiopia. To estimate the number of cases and their peak time, 30 different scenarios were simulated. The results reveal that the peak time of the pandemic is different in urban and rural populations of Ethiopia. In the urban population, under moderate implementation of three NPIs the pandemic will be expected to reach its peak in December, 2020 with 147,972 cases, of which 18,100 are symptomatic and 957 will require admission to an Intensive Care Unit (ICU). Among the implemented NPIs, increasing the coverage of wearing masks by 10% could reduce the number of new cases on average by one-fifth in urban-populations. Varying the coverage of wearing masks in rural populations minimally reduces the number of cases. In conclusion, the projection result reveals that the projected number of hospital cases is higher than the Ethiopian health system capacity during the peak time. To contain symptomatic and ICU cases within health system capacity, the government should give attention to the strict implementation of the existing NPIs or impose additional public health measures.

scholarly journals Diagnostics and monitoring tools for noncommunicable diseases: a missing component in the global response

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Antonio Bernabé-Ortiz ◽  
Jessica H. Zafra-Tanaka ◽  
Miguel Moscoso-Porras ◽  
Rangarajan Sampath ◽  
Beatrice Vetter ◽  
...  
Keyword(s):  
Health System ◽  
New Technologies ◽  
Action Plan ◽  
Building Blocks ◽  
Communicable Diseases ◽  
Noncommunicable Disease ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Diagnostic Tools ◽  
Monitoring Tools

AbstractA key component of any health system is the capacity to accurately diagnose individuals. One of the six building blocks of a health system as defined by the World Health Organization (WHO) includes diagnostic tools. The WHO’s Noncommunicable Disease Global Action Plan includes addressing the lack of diagnostics for noncommunicable diseases, through multi-stakeholder collaborations to develop new technologies that are affordable, safe, effective and quality controlled, and improving laboratory and diagnostic capacity and human resources. Many challenges exist beyond price and availability for the current tools included in the Package of Essential Noncommunicable Disease Interventions (PEN) for cardiovascular disease, diabetes and chronic respiratory diseases. These include temperature stability, adaptability to various settings (e.g. at high altitude), need for training in order to perform and interpret the test, the need for maintenance and calibration, and for Blood Glucose Meters non-compatible meters and test strips. To date the issues surrounding access to diagnostic and monitoring tools for noncommunicable diseases have not been addressed in much detail. The aim of this Commentary is to present the current landscape and challenges with regards to guidance from the WHO on diagnostic tools using the WHO REASSURED criteria, which define a set of key characteristics for diagnostic tests and tools. These criteria have been used for communicable diseases, but so far have not been used for noncommunicable diseases. Diagnostic tools have played an important role in addressing many communicable diseases, such as HIV, TB and neglected tropical diseases. Clearly more attention with regards to diagnostics for noncommunicable diseases as a key component of the health system is needed.

scholarly journals Health system gaps in cardiovascular disease prevention and management in Nepal

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Archana Shrestha ◽  
Rashmi Maharjan ◽  
Biraj Man Karmacharya ◽  
Swornim Bajracharya ◽  
Niharika Jha ◽  
...  
Keyword(s):  
Human Resources ◽  
Health System ◽  
Health Systems ◽  
National Health ◽  
Task Force ◽  
Health Spending ◽  
Building Blocks ◽  
Critical System ◽  
Government Organizations ◽  
The Government

Abstract Background Cardiovascular diseases (CVDs) are the leading cause of deaths and disability in Nepal. Health systems can improve CVD health outcomes even in resource-limited settings by directing efforts to meet critical system gaps. This study aimed to identify Nepal’s health systems gaps to prevent and manage CVDs. Methods We formed a task force composed of the government and non-government representatives and assessed health system performance across six building blocks: governance, service delivery, human resources, medical products, information system, and financing in terms of equity, access, coverage, efficiency, quality, safety and sustainability. We reviewed 125 national health policies, plans, strategies, guidelines, reports and websites and conducted 52 key informant interviews. We grouped notes from desk review and transcripts’ codes into equity, access, coverage, efficiency, quality, safety and sustainability of the health system. Results National health insurance covers less than 10% of the population; and more than 50% of the health spending is out of pocket. The efficiency of CVDs prevention and management programs in Nepal is affected by the shortage of human resources, weak monitoring and supervision, and inadequate engagement of stakeholders. There are policies and strategies in place to ensure quality of care, however their implementation and supervision is weak. The total budget on health has been increasing over the past five years. However, the funding on CVDs is negligible. Conclusion Governments at the federal, provincial and local levels should prioritize CVDs care and partner with non-government organizations to improve preventive and curative CVDs services.

Public Health Control Measures in Response to Global Pandemics and Drug Resistance

2015 ◽  
Vol 43 (S2) ◽  
pp. 49-56
Author(s):  
Polly J. Price
Keyword(s):  
Public Health ◽  
Communicable Disease ◽  
International Health ◽  
Control Measures ◽  
World Health ◽  
Legal Authority ◽  
List Type ◽  
Resistant Disease ◽  
Global Pandemic ◽  
Health Organization

These teaching materials explore the specific powers of governments to implement control measures in response to communicable disease, in two different contexts:The first context concerns global pandemic diseases. Relevant legal authority includes international law, World Health Organization governance and the International Health Regulations, and regulatory authority of nations.The second context is centered on U.S. law and concerns control measures for drug-resistant disease, using tuberculosis as an example. In both contexts, international and domestic, the point is to understand legal authority to address public health emergencies.

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