What Are The Roles Actions And Positions Of Non Formal Biomedical Prescribers And Providers In Developing Countries A Systematic Literature Review

Master's Thesis from the year 2015 in the subject Medicine - Public Health, grade: 6.68/7, The Australian National University (College of Arts and Social Science & ANU College of Medicine, Biology and Environment), course: THES8103 Master’s (Advanced) Thesis, language: English, abstract: This paper aims to present a systematic review of literature to identify and synthesize the existing knowledge on role, activities and position of non-formal biomedical prescribers and providers (NFBPs) in developing countries. It argues this cadre is different from two established groups: formal biomedical practitioners and informal health care providers, who usually function outside the “formal” and “informal” domain in terms of their experience, skills, training and negotiating capacity with the biomedical world of practice. With an operational definition of practitioners who function as “Non-formal biomedical prescribers and provider” the databases searched include: PubMed, JSTOR, SocioFile, Cochrane Library, Anthropology Plus, CINAHL and PsycINFO. Grey literature were searched as well. Searches were limited to published papers since 1 January 2000, in English. A structured data appraisal sheet was used following PRISMA guidelines and applied to the papers to assess their quality. Of 90 papers initially read, 25 were selected for inclusion in this review. The most frequently-reported activity was drug selling or prescribing without a prescription (15/25 studies). Dispensing on the basis of “floating” prescriptions (i.e. prescriptions that are kept by the patient and have become recurring tickets to receive medication) was also described. Five studies described NFBPs who provided health care (e.g. diarrheal illnesses, gynecological care, and malaria diagnosis and treatment). The NFBP is often a pragmatic, emergent response to meet everyday primary and emergency health needs, and are imbued with community trust and reliance to provide. However they operate at the margin, and occupy a liminal space, being both medical but not-medical. Their positioning within the biomedical global medicine market is indistinct, grappling with direct and indirect influence by the pharmaceutical industry, and outside the formal regulatory mechanisms. Sufficiently flexible and thoughtful use of socio-cultural frameworks can lead to more theoretically informed analysis of the research in systematic reviews, and clear recognition of NFBPs as an emerging distinct group needed to develop policy and effective interventions to capitalize on the existing roles and practices of non-formal biomedical prescribers and providers.

In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.

Contributed research articles.

Drug overdose, driven largely by overdose related to the use of opioids, is now the leading cause of unintentional injury death in the United States. The ongoing opioid crisis lies at the intersection of two public health challenges: reducing the burden of suffering from pain and containing the rising toll of the harms that can arise from the use of opioid medications. Chronic pain and opioid use disorder both represent complex human conditions affecting millions of Americans and causing untold disability and loss of function. In the context of the growing opioid problem, the U.S. Food and Drug Administration (FDA) launched an Opioids Action Plan in early 2016. As part of this plan, the FDA asked the National Academies of Sciences, Engineering, and Medicine to convene a committee to update the state of the science on pain research, care, and education and to identify actions the FDA and others can take to respond to the opioid epidemic, with a particular focus on informing FDA's development of a formal method for incorporating individual and societal considerations into its risk-benefit framework for opioid approval and monitoring.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.

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