scholarly journals Health system efficiency in OECD countries: dynamic network DEA approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Beata Gavurova ◽  
Kristina Kocisova ◽  
Jakub Sopko
Keyword(s):  
Public Health ◽  
Medical Care ◽  
Health Systems ◽  
Returns To Scale ◽  
Health Sector ◽  
Dynamic Network ◽  
Oecd Countries ◽  
The Public ◽  
Overall Efficiency ◽  
Constant Returns To Scale

Abstract Background In recent years, measuring and evaluating the efficiency of health systems has been explored in the context of seeking resources to ensure the sustainability of ‘countries’ health and social systems and addressing various crises in the health sector. The study aims to quantify and compare the efficiency of OECD health systems in 2000, 2008, and 2016. The contribution to research in the field of efficiency in the healthcare system can be seen in the application of Dynamic Network Data Envelopment Analysis (DNDEA), which help us to analyse not only the overall efficiency of the healthcare system but analyse the overall efficiency as the result of the efficiencies of individual interconnected areas (public and medical care area). By applying the DNDEA model, we can realise the analysis not only within one year, but we can find out if the measures and improvements taken in the healthcare sector have a positive impact on its efficiency in a later period (eight-year interval). Methods The analysis focuses on assessing the efficiency of the health systems of OECD countries over three periods: 2000, 2008, and 2016. Data for this study were derived from the existing OECD database, which provides aggregated data on OECD countries on a comparable basis. In this way, it was possible to compare different countries whose national health statistics may have their characteristics. The input-oriented Dynamic Network Data Envelopment Analysis model was used for data processing. The efficiency of OECD health systems has been analysed and evaluated comprehensively and also separately in two divisions: public health sub-division and medical care sub-division. The analysis combines the application of conventional and unconventional methods of measuring efficiency in the health sector. Results The results for the public health sub-division, medical care sub-division and overall health system for OECD countries under the assumption of constant returns to scale indicate that the average overall efficiency was 0.8801 in 2000, 0.8807 in 2008 and 0.8472 in 2016. The results of the input-oriented model with the assumption of constant returns to scale point to the overall average efficiency of health systems at the level of 0.8693 during the period. According to the Malmquist Index results, the OECD countries improved the efficiency over the years, with performance improvements of 19% in the public health division and 8% in the medical care division. Conclusions The results of the study are beneficial for health policymakers to assess and compare health systems in countries and to develop strategic national and regional health plans. Similarly, the result will support the development of international benchmarks in this area. The issue of health efficiency is an intriguing one that could be usefully explored in further research. A greater focus on combining non-parametric and parametric models could produce interesting findings for further research. The consistency in the publication and updating of the data on health statistics would help us establish a greater degree of accuracy.

scholarly journals Human resources for health talent management contribution: A case for health systems strengthening in the public health sector

2021 ◽  
Vol 9 (2) ◽  
pp. 192-201
Author(s):  
Bernard Nkala ◽  
Charles Mudimu ◽  
Angelbert Mbengwa Mbengwa
Keyword(s):  
Public Health ◽  
Human Resources ◽  
Performance Management ◽  
Health Systems ◽  
Health Workforce ◽  
Health Sector ◽  
Talent Management ◽  
The Public ◽  
Public Health Sector ◽  
Workforce Engagement

Talent Management is an essential component in transforming health systems if carefully implemented for the public sector especially in low income countries. In Zimbabwe public health sector, talent retention and engagement are viewed as amongst the challenges affecting the realisation of effective performance and productivity from the existing Health workforce. Largely, modern health care systems lack robust strategies to identify and utilize employee talent essential to help attain organisational citizenship. The study reviewed the relevancy and effectiveness of talent management practices in the public health sector using a case study of Parirenyatwa Group of Hospitals, one of the major referral hospitals in Zimbabwe. The study aimed at closing the talent pipe-line gaps as part of the Health Systems Strengthening initiative towards bringing about talent retention and engagement amongst the health workforce in public sector settings. The study assessed the impact of the existing talent management initiatives focusing on variables; recruitment and attraction perspective, compensation and rewarding component, health workforce succession management and implemented performance management system. The study obtained cross sectional data collected through a designed tool following a purposive (non-probability) sampling technique from a sample of n=200 existing health management team to assess the perception of implemented talent management approaches. The study further used responses from n=450 randomly selected health professionals recruited in the last 3 years prior to the survey to analyse the association between the variables on talent management practices namely (recruitment and selection, compensation and rewarding, succession management and performance management system) and the age of health workforce to employee engagement. The data on recruited cadres was obtained from the existing Hospital Human Resources for Health Recruitment Database. The research revealed that talent management in public health sector currently suffers from theoretical problems since the existing Human Resources for Health literature concentrates on anecdotal information. The human resource practitioners need to come up with more involving workplace activities to demystify the theory that millennials are generally finding it difficult to engage. In addition, the public sector succession planning strategies would need to be in place for the millennials well in time to adequately replace the considerable number of those at retiring stages. The Logistic regression analysis revealed recruitment and attraction perspective, and succession management positively influence health workforce engagement while adherence to implementing performance management system negatively affected employee engagement. Compensation and rewarding practices in a public health set up proved an insignificant variable to health workforce engagement hence study concluded further analysis on the impact on wider target group. The study revealed as the age increases, the health workforce become more engaged and self-motivated to develop their personal talent, thus theory suggests such are ‘Baby Boomers’ age group that do not need much push and are prepared to perfect their work talent for the benefit of the health system. The role of performance management system must be equally elevated within health system initiatives in order to achieve ultimate health workforce engagement. The study recommended the public health sector to incorporate in its human resources policy, a strategy for managing and utilisation of talent from the different health workforce generations within the health system. In improving the performance of public health systems, talent management need to be put forward in the health systems strengthening agenda in order to build highly engaged health teams. Talent management practices become essential and if carefully implemented, are likely to help public health systems retain rare skills especially in highly specialised functions. Furthermore, the organisations need to synchronise its strategic plan with the talent management strategy. There must be continuous capacity building of human resources departments to firstly own policies that influence talent management so as to ensure ultimate health workforce engagement.

Assessing the efficiency of the Covid-19 control measures and public health policy in OECD countries from cultural perspectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hokey Min ◽  
C. Christopher Lee ◽  
Seong-Jong Joo
Keyword(s):  
Public Health ◽  
Health Policy ◽  
Public Health Policy ◽  
Returns To Scale ◽  
Oecd Countries ◽  
Cultural Dimensions ◽  
Control Measures ◽  
Content Type ◽  
The Government ◽  
Constant Returns To Scale

PurposeTo identify sources of the success and failure of COVID-19 control measures and develop best-practice public health policy in mitigating the spread of COVID-19, this paper aims to evaluate the efficiency of various combinations of government COVID-19 control measures among OECD countries. This paper also identifies which factors critically influence the efficiency of COVID-19 control measures.Design/methodology/approachThis paper employed two-stage network SBM (slacks-based measure of efficiency) models with variable returns-to-scale and constant returns-to-scale, respectively, among various forms of data envelopment analysis (DEA) models. As a post hoc analysis, the authors used Tobit regression for examining the causal relationship between a nation's cultural dimensions and its COVID-19 control measure's efficiency scores.FindingsThe authors found that the pervasive less individualistic and higher uncertainty avoiding culture positively influenced the efficient control of COVID-19 outbreaks since such a culture helped the government impose its mandatory COVID-19 control measures without people's strong resistance to those measures.Originality/valueMany public health policymakers are wondering why COVID-19 control measures are not effective in coping with the COVID-19 outbreaks. This paper helps the government find the most efficient combination of COVID-19 controls measures for curbing the spread of the stubborn coronavirus. This paper is one of the first attempts to identify pandemic risk mitigation factors from a cultural perspective.

Corrupt Practices in the Public Health Sector: A Focus on Metropolitan Local Government Areas of Kano State, Nigeria

2020 ◽  
Vol 18 (2) ◽  
pp. 149
Author(s):  
Mohammed Mustapha Namadi
Keyword(s):  
Public Health ◽  
Local Government ◽  
Health Sector ◽  
Sampling Technique ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Healthcare Provision ◽  
The Public ◽  
Public Health Sector ◽  
The Government

Corruption is pervasive in Nigeria at all levels. Thus, despite recent gains in healthcare provision, the health sector faces numerous corruption related challenges. This study aims at examining areas of corruption in the health sector with specific focus on its types and nature. A sample size of 480 respondents aged 18 years and above was drawn from the eight Metropolitan Local Government Areas of Kano State, using the multistage sampling technique. The results revealed evidence of corrupt practices including those related to unnecessary-absenteeism, diversion of patients from the public health facilities to the private sector, diverting money meant for the purchase of equipment, fuel and diesel, bribery, stealing of medications, fraud, misappropriation of medications and unjustifiable reimbursement claims. In order to resolve the problem of corrupt practices in the healthcare sector, the study recommended the need for enforcement of appropriate code of ethics guiding the conduct of the health professionals, adoption of anti-corruption strategies, and strengthening the government monitoring system to check corruption in public health sector in order to ensure equitable access to healthcare services among the under-privileged people in the society.

Navigating the Ethics of Big Data in Public Health

2019 ◽  
pp. 353-367
Author(s):  
Effy Vayena ◽  
Lawrence Madoff
Keyword(s):  
Public Health ◽  
Big Data ◽  
Credit Card ◽  
Health Sector ◽  
Public Health Research ◽  
Ethical Challenges ◽  
The Public ◽  
Health Community ◽  
Digital Disease Detection ◽  
The Public Sphere

“Big data,” which encompasses massive amounts of information from both within the health sector (such as electronic health records) and outside the health sector (social media, search queries, cell phone metadata, credit card expenditures), is increasingly envisioned as a rich source to inform public health research and practice. This chapter examines the enormous range of sources, the highly varied nature of these data, and the differing motivations for their collection, which together challenge the public health community in ethically mining and exploiting big data. Ethical challenges revolve around the blurring of three previously clearer boundaries: between personal health data and nonhealth data; between the private and the public sphere in the online world; and, finally, between the powers and responsibilities of state and nonstate actors in relation to big data. Considerations include the implications for privacy, control and sharing of data, fair distribution of benefits and burdens, civic empowerment, accountability, and digital disease detection.

scholarly journals Green Deal as a Climate Changes Dam on the Road to Health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Jevtic ◽  
C Bouland
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Circular Economy ◽  
Clinical Medicine ◽  
Health Sector ◽  
The Public ◽  
The Road ◽  
National Public Health ◽  
On The Road ◽  
The Impact

Abstract Public health professionals (PHP) have a dual task in climate change. They should persuade their colleagues in clinical medicine of the importance of all the issues covered by the GD. The fact that the health sector contributes to the overall emissions of 4.4% speaks to the lack of awareness within the health sector itself. The issue of providing adequate infrastructure for the health sector is essential. Strengthening the opportunities and development of the circular economy within healthcare is more than just a current issue. The second task of PHP is targeting the broader population. The public health mission is being implemented, inter alia, through numerous activities related to environmental monitoring and assessment of the impact on health. GD should be a roadmap for priorities and actions in public health, bearing in mind: an ambitious goal of climate neutrality, an insistence on clean, affordable and safe energy, a strategy for a clean and circular economy. GD provides a framework for the development of sustainable and smart transport, the development of green agriculture and policies from field to table. It also insists on biodiversity conservation and protection actions. The pursuit of zero pollution and an environment free of toxic chemicals, as well as incorporating sustainability into all policies, is also an indispensable part of GD. GD represents a leadership step in the global framework towards a healthier future and comprises all the non-EU members as well. The public health sector should consider the GD as an argument for achieving goals at national levels, and align national public health policies with the goals of this document. There is a need for stronger advocacy of health and public-health interests along with incorporating sustainability into all policies. Achieving goals requires the education process for healthcare professionals covering all of topics of climate change, energy and air pollution to a much greater extent than before.

scholarly journals Identifying and bridging the knowledge-to-practice gaps in rehabilitation professionals working with at-risk infants in the public health sector of South Africa: a multimethod study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e039242
Author(s):  
Pragashnie Govender
Keyword(s):  
Public Health ◽  
South Africa ◽  
At Risk ◽  
Neonatal Intensive Care ◽  
Qualitative Data ◽  
Health Sector ◽  
Critical Time ◽  
Reliability And Validity ◽  
The Public ◽  
Public Health Sector

IntroductionEarly childhood is a critical time when the benefits of early interventions are intensified, and the adverse effects of risk can be reduced. For the optimal provision of early intervention, professionals in the field are required to have specialised knowledge and skills in implementing these programmes. In the context of South Africa, there is evidence to suggest that therapists are ill-prepared to handle the unique challenges posed in neonatal intensive care units and wards with at-risk infants in the first few weeks of life. This is attributed to several reasons; however, irrespective of the causative factors, the need to bridge this knowledge-to-practice gap remains essential.Methods and analysisThis study is a multimethod stakeholder-driven study using a scoping review followed by an appreciative inquiry and Delphi process that will aid in the development, implementation and evaluation of a knowledge translation intervention to bridge knowledge-gaps in occupational and physiotherapists working in the field. Therapists currently working in the public health sector will be recruited for participation in the various stages of the study. The analysis will occur via thematic analysis for qualitative data and percentages and frequencies for descriptive quantitative data. Issues around trustworthiness and rigour, and reliability and validity, will be ensured within each of the phases, by use of a content validity index and inter-rater reliability for the Delphi survey; thick descriptions, peer debriefing, member checking and an audit trail for the qualitative data.Ethics and disseminationThe study has received full ethical approval from the Health Research and Knowledge Management Directorate of the Department of Health and a Biomedical Research Ethics Committee. The results will be published in peer-reviewed academic journals and disseminated to the relevant stakeholders within this study.

Will Nurses’ Work Still be Valued after the COVID-19 Pandemic?

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Pasquot L ◽  
◽  
Giorgetta S ◽  
Keyword(s):  
Public Health ◽  
Infection Rate ◽  
Health Sector ◽  
Risk Of Infection ◽  
Initial State ◽  
Public Places ◽  
The Public ◽  
High Infection ◽  
A Minor ◽  
Second Wave

Many are the aspects we should ponder on, after 17 months from the burst of the COVID-19 pandemic, especially as nurses. Due to the numerous cuts to the public health sector in the last decades in Italy, the sanitary emergency has been a great sacrifice for health professionals, as public health was completely unprepared to withstand it. The Italian government reacted to this lack of preparation with exceptionally urgent measures. Although, these measures were implemented long after the initial state of confusion and of inappropriate management, they brought about stability and led to a containment strategy for the spread of the virus across the nation [1]. The reduction in the number of COVID-19 diagnoses was mainly achieved through social distancing. At first this was only required to a small number of communities affected by high infection rates, but was eventually extended to the rest of the country from March 2020 [2]. The national lockdown during the first COVID-19 wave (from March to May 2020), was replaced by regional lockdowns in the second wave (from November 2020). As of now, regional lockdowns are integrated by the vaccine campaign and Green Pass enforcement. In November 2020 the Italian Prime Minister at the time, issued legislative measures to enforce regional lockdowns, limiting nonessential movements, cafes, restaurants and other public places opening hours. This legislation established to classify the national territory in different levels of restriction based on the infection rate: red zones - highest risk of infection, orange zones - medium high risk and yellow zones with a minor risk of infection. A later legislation introduced the white zone for territories with the lowest risk of infection (DPCM-14th January 2021). The infection rate has been important to establish a region’s tier status; however, it is not the defining parameter anymore. A new legislation from July 2021 (n.105 - 23rd July 2021), opted to classify a region’s tier status according to the hospital bed’s occupancy rate for COVID-19 patients in intensive care and other medical areas.

Artificial interfaces (“AI”) in surgery: Historic development, current status and program implementation in the public health sector

2013 ◽  
Vol 22 (2) ◽  
pp. 77-85 ◽  
Author(s):  
Donagh A. Healy ◽  
Shane P. Murphy ◽  
John P. Burke ◽  
John C. Coffey
Keyword(s):  
Public Health ◽  
Program Implementation ◽  
Health Sector ◽  
Current Status ◽  
The Public ◽  
Public Health Sector ◽  
Historic Development
Sign in / Sign up

Export Citation Format

Share Document