The Future of Professional Psychology: Adapt to Managed Care or Evolve Into the Premier Primary Health Care Profession?

2003 ◽  
Vol 48 (3) ◽  
pp. 332-336
Author(s):  
Ronald F. Levant
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Managed Care ◽  
Professional Psychology ◽  
Primary Health ◽  
The Future

scholarly journals The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System (Preprint)

2018 ◽  
Author(s):  
Matthew Willis ◽  
Paul Duckworth ◽  
Angela Coulter ◽  
Eric T Meyer ◽  
Michael Osborne
Keyword(s):  
Machine Learning ◽  
Primary Care ◽  
Health Care ◽  
Primary Health Care ◽  
National Health Service ◽  
Health Service ◽  
National Health ◽  
Care Staff ◽  
Primary Health ◽  
The Future

BACKGROUND Recent advances in technology have reopened an old debate on which sectors will be most affected by automation. This debate is ill served by the current lack of detailed data on the exact capabilities of new machines and how they are influencing work. Although recent debates about the future of jobs have focused on whether they are at risk of automation, our research focuses on a more fine-grained and transparent method to model task automation and specifically focus on the domain of primary health care. OBJECTIVE This protocol describes a new wave of intelligent automation, focusing on the specific pressures faced by primary care within the National Health Service (NHS) in England. These pressures include staff shortages, increased service demand, and reduced budgets. A critical part of the problem we propose to address is a formal framework for measuring automation, which is lacking in the literature. The health care domain offers a further challenge in measuring automation because of a general lack of detailed, health care–specific occupation and task observational data to provide good insights on this misunderstood topic. METHODS This project utilizes a multimethod research design comprising two phases: a qualitative observational phase and a quantitative data analysis phase; each phase addresses one of the two project aims. Our first aim is to address the lack of task data by collecting high-quality, detailed task-specific data from UK primary health care practices. This phase employs ethnography, observation, interviews, document collection, and focus groups. The second aim is to propose a formal machine learning approach for probabilistic inference of task- and occupation-level automation to gain valuable insights. Sensitivity analysis is then used to present the occupational attributes that increase/decrease automatability most, which is vital for establishing effective training and staffing policy. RESULTS Our detailed fieldwork includes observing and documenting 16 unique occupations and performing over 130 tasks across six primary care centers. Preliminary results on the current state of automation and the potential for further automation in primary care are discussed. Our initial findings are that tasks are often shared amongst staff and can include convoluted workflows that often vary between practices. The single most used technology in primary health care is the desktop computer. In addition, we have conducted a large-scale survey of over 156 machine learning and robotics experts to assess what tasks are susceptible to automation, given the state-of-the-art technology available today. Further results and detailed analysis will be published toward the end of the project in early 2019. CONCLUSIONS We believe our analysis will identify many tasks currently performed manually within primary care that can be automated using currently available technology. Given the proper implementation of such automating technologies, we expect considerable staff resources to be saved, alleviating some pressures on the NHS primary care staff. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/11232

scholarly journals Stress and perceived health among primary care visitors in two corners of Europe: Scandinavia and Greece

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Jenny Koppner ◽  
Marios Chatziarzenis ◽  
Tomas Faresjö ◽  
Elvar Theodorsson ◽  
Annika Thorsell ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Primary Health Care ◽  
Perceived Stress ◽  
Perceived Health ◽  
Long Term Effects ◽  
Primary Health ◽  
The Future ◽  
Logistic Regressions

Abstract Background The global financial crisis emerging in 2008 struck Greece especially hard, whereas Scandinavian countries were less affected. This has created a unique opportunity to study the long-term effect of community stress on populations. Increasing frequencies of mental health issues and poorer perceived health among the Greek population have been reported. The physiological marker of long-term stress, cortisol in hair, is applied in this study together with measures of perceived health and stress, depression and anxiety. Our aim was to study self-reported and physiological stress, perceived health, including mental health, in the general population of Greece compared to Scandinavia, in order to assess long-term effects of the economic crisis on these parameters. Methods A cross-sectional comparative study of adult (18–65 years) Primary Health Care visitors from semi-rural areas in Greece (n = 84) and Scandinavia (n = 140). Data collection was performed in 2012, and encompassed a questionnaire with a variety of health and stress indicators as well as hair samples for analyzes of cortisol levels. Results The Greek sample reported significantly poorer overall health (p < 0.0001) than the Scandinavians and a significantly higher perceived stress (p < 0.0001). The Greeks were also less hopeful of the future (p < 0.0001), and to a larger extent fulfilled the HAD criteria for depression (p < 0.0001) and anxiety (p = 0.002). The strongest predictors explaining ill health in logistic regressions were being Greek (p = 0.001) and feeling hopeless about the future p = 0.001, OR = 6.00 (CI 2.10–14.88). Strong predictors in logistic regressions for high perceived stress were anxiety: high (p < 0.0001) and medium (p = 0.0001), as well as medium depression (p = 0.02). Conclusions Greek adult Primary Health Care visitors perceived their health more negatively than the Scandinavians, including a higher presence of depression, anxiety, and a lower hope for the future. The Greeks also reported higher perceived stress, but this was not reflected in higher cortisol levels. The findings presented here, identify possible adverse long-term effects of the economic crisis in the examined Greek population that are not seen in the Scandinavian cohort. These differences may also be interpreted against the background of socio-cultural differences in the northern and south-eastern corners of Europe.

scholarly journals The future of primary health care.

BMJ ◽  
1992 ◽  
Vol 304 (6842) ◽  
pp. 1582-1583
Author(s):  
V. Morley
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Primary Health ◽  
The Future

scholarly journals Drug-Related Problems of Patients in Primary Health Care Institutions: A Systematic Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiao-Feng Ni ◽  
Chun-Song Yang ◽  
Yu-Mei Bai ◽  
Zi-Xian Hu ◽  
Ling-Li Zhang
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Health Care ◽  
Primary Health Care ◽  
Cochrane Library ◽  
Drug Related Problems ◽  
Primary Health ◽  
Health Care Institutions ◽  
The Future ◽  
Primary Health Care Institutions

Introduction: Drug-related problems (DRPs) are not only detrimental to patients' physical health and quality of life but also lead to a serious waste of health care resources. The condition of DRPs might be more severe for patients in primary health care institutions.Objective: This systematic review aims to comprehensively review the characteristics of DRPs for patients in primary health care institutions, which might help find effective strategies to identify, prevent, and intervene with DRPs in the future.Methods: We searched three English databases (Embase, The Cochrane Library, and PubMed) and four Chinese databases (CNKI, CBM, VIP, and Wanfang). Two of the researchers independently conducted literature screening, quality evaluation, and data extraction. Qualitative and quantitative methods were combined to analyze the data.Results: From the 3,368 articles screened, 27 met the inclusion criteria and were included in this review. The median (inter-quartile range, IQR) of the incidences of DRPs was 70.04% (59%), and the median (IQR) of the average number of DRPs per patient was 3.4 (2.8). The most common type of DRPs was “treatment safety.” The causes of DRPs were mainly in the prescribing section, including “drug selection” and “dose selection”, while patients' poor adherence in the use section was also an important cause of DRPs. Risk factors such as the number of medicines, age, and disease condition were positively associated with the occurrence of DRPs. In addition, the medians (IQR) of the rate of accepted interventions, implemented interventions, and solved DRPs were 78.8% (22.3%), 64.15% (16.85%), and 76.99% (26.09%), respectively.Conclusion: This systematic review showed that the condition of DRPs in primary health care institutions was serious. In pharmaceutical practice, the patients with risk factors of DRPs should be monitored more closely. Pharmacists could play important roles in the identification and intervention of DRPs, and more effective intervention strategies need to be established in the future.

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