APA Creates New Center for Psychology and Health: Center will advance psychology's role in integrated care settings, advocate for sustainable health care financing

2013 ◽  
Keyword(s):  
Health Care ◽  
Health Center ◽  
Integrated Care ◽  
Health Care Financing ◽  
Sustainable Health

Integrated Care Case Study: A Community Mental Health Center and a Federally Qualified Health Center

2012 ◽  
Author(s):  
Jennifer E. Cato-Degroff ◽  
Brian Desantis ◽  
Fred Michel ◽  
Michael D. Welch ◽  
Kelly Phillips-Henry ◽  
...  
Keyword(s):  
Mental Health ◽  
Community Mental Health ◽  
Health Center ◽  
Integrated Care ◽  
Community Mental Health Center ◽  
Mental Health Center ◽  
Federally Qualified Health Center

Modernization, Globalization, Trends, and Convergence in Health Expenditure in Latin America and the Caribbean

2015 ◽  
Vol 1 (2) ◽  
pp. 321-346 ◽  
Author(s):  
Shiri Noy ◽  
Patricia A. McManus
Keyword(s):  
Health Care ◽  
Latin America ◽  
Health Care Systems ◽  
Health Care Financing ◽  
Health Spending ◽  
Modernization Theory ◽  
The Public ◽  
National Differences ◽  
Care Systems ◽  
Public Private Mix

Are health care systems converging in developing nations? We use the case of health care financing in Latin America between 1995 and 2009 to assess the predictions of modernization theory, competing strands of globalization theory, and accounts of persistent cross-national differences. As predicted by modernization theory, we find convergence in overall health spending. The public share of health spending increased over this time period, with no convergence in the public-private mix. The findings indicate robust heterogeneity of national health care systems and suggest that globalization fosters human investment health policies rather than neoliberal, “race to the bottom” cutbacks in public health expenditures.

E-Health as a Service Software of Medical System in Prototype Modeling

2017 ◽  
Vol 4 (2) ◽  
pp. 99-104
Author(s):  
Agus Nursikuwagus
Keyword(s):  
Health Care ◽  
Information System ◽  
Health Service ◽  
Community Health ◽  
Health Center ◽  
Community Health Center ◽  
Community Health Service ◽  
Medical System ◽  
Medical Prescription ◽  
Uml Diagrams

Information system at community health center is an information system that has several activities, such as registration, medical record, health care, and reporting.  Day to day operation, community health service, is using process manually. It is cause the stack of service. Sometime, the patient has to wait within several times. For Further, the patient did not know that the queuing is full. In order to help the problem, this paper wants to show about E-Health as service software. The research is completed by conveying the model like UML diagram. The UML diagrams are consisting such as usecase, class, activity, and component. The sequence of system construct is using Prototype Paradigm. The result is the software which has ability to service patient start from registration, medical check, medical prescription, until reporting. As an impact for Community health service is the service more efficiency. The system is able to control the medicine and reporting on day to day operation.   REFERENCES[1] Susanto, Gunawan,” Sistem Informasi Rekam Medis PadaRumah Sakit Umum Daerah (RSUD) Pacitan Berbasis WebBase”. Pacitan. 2012.[2] B, Nugroho, S.H. Fitriasih, B. Widada, “Sistem InformasiRekam Medis Di Puskesmas Masaran I Sragen”. JournalTIKomSiN, vol.5, no.1, p.49-56, 2017.[3] G.G.S. Bagja,” Membangun Sistem Informasi KesehatanPuskesmas Cibaregbeg”, Univ. Komp. Indonesia, 2010.[4] A.M. Herdy, Aulia, M. Amran, D. Novita, “PerancanganSistem Informasi Pelayanan Medis Di Puskesmas SungaiDua”, STMIK MDP. 2014.[5] J. Sundari, “Sistem Informasi Pelayanan Puskesmas BerbasisWeb”, Int.Journal.on Soft.Eng, vol.2, no.1, p.57-62, 2016.[6] R.S. Pressman, Software Engineering A PractitionersApproach. Nineth Edition, Addsion Wesley, 2011.[7] G. Booch, J. Rumbaugh, I. Jacobson, Unified ModelingLanguage User Guide, Addison-Wesley, 1999.[8] I, Daqiqil. (2011, August 2). Framework CodeIgnite. [Online].Available: http://koder.web.id/buku-codeigniter-gratis/

scholarly journals Integrating Genomic Screening into Primary Care: Provider Experiences Caring for Latino Patients at a Community-Based Health Center

2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Tarika Srinivasan ◽  
Erica J. Sutton ◽  
Annika T. Beck ◽  
Idali Cuellar ◽  
Valentina Hernandez ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Patient Care ◽  
Health Center ◽  
Care Provider ◽  
Primary Care Provider ◽  
Genomic Sequencing ◽  
Community Based ◽  
Genomic Screening

Introduction: Minority communities have had limited access to advances in genomic medicine. Mayo Clinic and Mountain Park Health Center, a Federally Qualified Health Center in Phoenix, Arizona, partnered to assess the feasibility of offering genomic screening to Latino patients receiving care at a community-based health center. We examined primary care provider (PCP) experiences reporting genomic screening results and integrating those results into patient care. Methods: We conducted open-ended, semi-structured interviews with PCPs and other members of the health care team charged with supporting patients who received positive genomic screening results. Interviews were recorded, transcribed, and analyzed thematically. Results: Of the 500 patients who pursued genomic screening, 10 received results indicating a genetic variant that warranted clinical management. PCPs felt genomic screening was valuable to patients and their families, and that genomic research should strive to include underrepresented minorities. Providers identified multiple challenges integrating genomic sequencing into patient care, including difficulties maintaining patient contact over time; arranging follow-up medical care; and managing results in an environment with limited genetics expertise. Providers also reflected on the ethics of offering genomic sequencing to patients who may not be able to pursue diagnostic testing or follow-up care due to financial constraints. Conclusions: Our results highlight the potential benefits and challenges of bringing advances in precision medicine to community-based health centers serving under-resourced populations. By proactively considering patient support needs, and identifying financial assistance programs and patient-referral mechanisms to support patients who may need specialized medical care, PCPs and other health care providers can help to ensure that precision medicine lives up to its full potential as a tool for improving patient care.

scholarly journals Determinants of prepaid systems of healthcare financing: a worldwide country-level perspective

2021 ◽  
Author(s):  
Andrea M. Leiter ◽  
Engelbert Theurl
Keyword(s):  
Health Care ◽  
Panel Data ◽  
Health Care Financing ◽  
Value Added ◽  
The Elderly ◽  
Dynamic Panel Data ◽  
Individual Characteristics ◽  
Minor Importance ◽  
Data Set ◽  
Country Level

AbstractIn this paper we examine determinants of prepaid modes of health care financing in a worldwide cross-country perspective. We use three different indicators to capture the role of prepaid modes in health care financing: (i) the share of total prepaid financing as percent of total current health expenditures, (ii) the share of voluntary prepaid financing as percent of total prepaid financing, and (iii) the share of compulsory health insurance as percent of total compulsory prepaid financing. In the econometric analysis, we refer to a panel data set comprising 154 countries and covering the time period 2000–2015. We apply a static as well as a dynamic panel data model. We find that the current structure of prepaid financing is significantly determined by its different forms in the past. The significant influence of GDP per capita, governmental revenues, the agricultural value added, development assistance for health, degree of urbanization and regulatory quality varies depending on the financing structure we look at. The share of the elderly and the education level are only of minor importance for explaining the variation in a country’s share of prepaid health care financing. The importance of the mentioned variables as determinants for prepaid health care financing also varies depending on the countries’ socio-economic development. From our analysis we conclude that more detailed information on indicators which reflect the distribution of individual characteristics (such as income, family size and structure and health risks) within a country’s population would be needed to gain deeper insight into the decisive determinants for prepaid health care financing.

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