Health Condition and Prisoners: A Review of Research and Emerging Areas of Inquiry

Prison organizations are not isolated institutions, thus social and economic change in the wider society affects their internal dynamics. We explore how health conditions within lower socioeconomic segments of the population influence the health characteristics of prisoner admissions, and we demonstrate how health conditions within the wider society have major implications for prisoner health care systems. A conceptual model is presented that organizes previous research into several areas in conjunction with a research agenda on prisoner health care issues. The article also explores the effects of recent conservative crime control ideologies on institutional health care programs.

Download Full-text

Thinking about the Relationship Between Health Dynamics in the Free Community and the Prison

Crime & Delinquency ◽

10.1177/0011128796042003001 ◽

1996 ◽

Vol 42 (3) ◽

pp. 331-360 ◽

Cited By ~ 16

Author(s):

James W. Marquart ◽

Dorothy E. Merianos ◽

Steven J. Cuvelier ◽

Leo Carroll

Keyword(s):

Health Care ◽

Research Agenda ◽

Crime Control ◽

Health Care Systems ◽

Health Conditions ◽

Prisoner Health ◽

Lower Socioeconomic ◽

Care Systems ◽

Health Dynamics ◽

The Relationship

Prison organizations are not isolated institutions, thus social and economic change in the wider society affects their internal dynamics. The authors explore how health conditions within lower socioeconomic segments of the population influence the health characteristics of prisoner admissions, and demonstrate how health conditions within the wider society have major implications for prisoner health care systems. The effects of recent conservative crime control ideologies on institutional health care programs are also examined. The article concludes with the development of a research agenda on prisoner health care issues.

Download Full-text

Testing the Mig-HealthCare Algorithm in Greece

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.1446 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

E Riza ◽

P Karnaki ◽

D Zota ◽

A Linos

Keyword(s):

Health Care ◽

Early Stage ◽

Health Care Systems ◽

Health Conditions ◽

Health Issues ◽

Host Countries ◽

Local Hospital ◽

Raising Awareness ◽

Significant Burden ◽

Care Systems

Abstract The Mig-HealthCare Algorithm is a tool, comprising a set of questions developed with the aim to (a) guide the user on how to access all the categories and tools that are available through the Roadmap & Toolbox (b) help the user identify the health issues of importance when providing care to a specific migrant/refugee. At the end of a series of questions, a brief report summarizing the main outcomes is generated. The algorithm was tested in Greece in two mainland reception centres and a local hospital in an area serving migrants/refugees. Results discuss the usefulness of the algorithm for improving the delivery of appropriate health services to migrants/refugees and its importance in raising awareness about the health conditions which are crucial for migrants/refugees and are expected to pose a significant burden on the health care systems of host countries unless dealt with adequately at an early stage.

Download Full-text

Computer-Aided Pharmacoepidemiology in Drug Use and Safety: Examining the Intersection between Data Science and Medicines Research

10.5772/intechopen.98730 ◽

2021 ◽

Author(s):

Ibrahim Chikowe ◽

Elias Peter Mwakilama

Keyword(s):

Health Care ◽

Clinical Trials ◽

Research Agenda ◽

Data Science ◽

Health Care Systems ◽

Computer Aided ◽

Care Systems ◽

Research Narrative ◽

Randomised Controlled ◽

Improving Health Care

Pharmacoepidemiology is a relatively new area of study that focuses on research aimed at producing data about drugs’ usage and safety in well-defined populations. Its significant impact on patient safety has translated into improving health care systems worldwide, where it has been widely adopted. This field has developed to an extent that policy and guidelines makers have started using its evidence alongside that produced from randomised controlled clinical trials. Although this significant improvement has been partly attributed to the adoption of statistics and computer-aided models into the way pharmacoepidemiology studies are designed and conducted, certain gaps still exist. This chapter reports some of the significant developments made, along with the gaps observed so far, in the adoption of statistics and computing into pharmacoepidemiology research. The goal is to highlight efforts that have led to the new pharmacoepidemiology developments, while examining the intersection between data science and pharmacology through research narrative reviews of computer-aided pharmacology. The chapter shows the significant number of initiatives that have been applied/adopted to improve pharmacoepidemiology research. Nonetheless, further developments in integrating pharmacoepidemiology with computers and statistics are needed in order to enhance the research agenda.

Download Full-text

Medical tourism and national health care systems: an institutionalist research agenda

Globalization and Health ◽

10.1186/s12992-018-0387-0 ◽

2018 ◽

Vol 14 (1) ◽

Cited By ~ 7

Author(s):

Daniel Béland ◽

Amy Zarzeczny

Keyword(s):

Health Care ◽

National Health ◽

Research Agenda ◽

Medical Tourism ◽

Health Care Systems ◽

National Health Care ◽

Care Systems

Download Full-text

Dementia and COVID-19 in Chile, New Zealand and Germany: A Research Agenda for Cross-Country Learning for Resilience in Health Care Systems

Sustainability ◽

10.3390/su131810247 ◽

2021 ◽

Vol 13 (18) ◽

pp. 10247

Author(s):

Franziska Laporte Uribe ◽

Oscar Arteaga ◽

Walter Bruchhausen ◽

Gary Cheung ◽

Sarah Cullum ◽

...

Keyword(s):

Health Care ◽

New Zealand ◽

Research Agenda ◽

Healthy Aging ◽

Health Care Systems ◽

Social Systems ◽

Health Care Research ◽

Global Health Research ◽

Care Systems ◽

Cross Country

The COVID-19 pandemic has revealed existing gaps in policies, systems and services, stressing the need for concerted global action on healthy aging. Similar to the COVID-19 pandemic, dementia is a challenge for health systems on a global scale. Our hypothesis is that translational potential lies in cross-country learning by involving three high-income countries with distinct geo-political-cultural-social systems in Latin America (Chile), the South Pacific (New Zealand) and Europe (Germany). Our vision is that such cross-country learning will lead to providing adequate, equitable and sustainable care and support for families living with dementia during a pandemic and beyond. We are proposing a vision for research that takes a multi-disciplinary, strength-based approach at the intersection of health care research, disaster research, global health research and dementia research. We present some insights in support of our hypothesis and proposed research agenda. We anticipate that this research has the potential to contribute towards strengthening and transforming health care systems in times of crises and beyond.

Download Full-text