5.N. Round table: Improving Primary Health Care for Children and Adolescents: What Are The Future Steps?

OBJECTIVE: to analyze the factors associated with the underreporting on the part of nurses within Primary Health Care of abuse against children and adolescents.METHOD: cross-sectional study with 616 nurses. A questionnaire addressed socio-demographic data, profession, instrumentation and knowledge on the topic, identification and reporting of abuse cases. Bivariate and multivariate logistic regression was used.RESULTS: female nurses, aged between 21 and 32 years old, not married, with five or more years since graduation, with graduate studies, and working for five or more years in PHC predominated. The final regression model showed that factors such as working for five or more years, having a reporting form within the PHC unit, and believing that reporting within Primary Health Care is an advantage, facilitate reporting.CONCLUSION: the study's results may, in addition to sensitizing nurses, support management professionals in establishing strategies intended to produce compliance with reporting as a legal device that ensures the rights of children and adolescents.

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

10.2196/preprints.11232 ◽

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

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Automatic Medicine? Technology and the Future of Primary Health Care

The Political Economy of Robots ◽

10.1007/978-3-319-51466-6_5 ◽

2017 ◽

pp. 81-100

Author(s):

Daniel Skinner ◽

Berkeley Franz

Keyword(s):

Health Care ◽

Primary Health Care ◽

Primary Health ◽

The Future

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Productive Cough in Children and Adolescents - View from Primary Health Care System

Medical Archives ◽

10.5455/medarh.2017.71.66-68 ◽

2017 ◽

Vol 71 (1) ◽

pp. 66 ◽

Cited By ~ 2

Author(s):

Edin Begic ◽

Zijo Begic ◽

Amra Dobraca ◽

Edo Hasanbegovic

Keyword(s):

Health Care ◽

Primary Health Care ◽

Children And Adolescents ◽

Health Care System ◽

Primary Health Care System ◽

Productive Cough ◽

Primary Health ◽

Care System

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

International Journal of Health Geographics ◽

10.1186/s12942-020-00248-8 ◽

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.

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PRIMARY CARE QUALITY FROM PROFESSIONALS’ PERSPECTIVE: HEALTH OF CHILDREN AND ADOLESCENTS WITH HIV

Texto & Contexto - Enfermagem ◽

10.1590/0104-07072017000180016 ◽

2017 ◽

Vol 26 (2) ◽

Cited By ~ 1

Author(s):

Graziela Piovesan ◽

Cristiane Cardoso de Paula ◽

Luis Felipe Dias Lopes ◽

Stela Maris de Mello Padoin ◽

Raquel Einloft Kleinubing ◽

...

Keyword(s):

Primary Care ◽

Health Care ◽

Primary Health Care ◽

Children And Adolescents ◽

Health Care Quality ◽

Health Care Service ◽

Care Quality ◽

Integration Of Care ◽

Primary Health ◽

Care Assessment

ABSTRACT Objective: evaluate, based on the professionals’ experience, the primary health care quality in home cities of children and adolescents with HIV, treated at a specialized service. Method: cross-sectional study involving 527 professionals in 25 interior cities in Rio Grande do Sul, Brazil, in the first semester of 2014. The Primary Care Assessment Tool was applied. Pearson’s chi-square Test, the Mann Whitney Test and the Poisson Regression were used. Results: the Estratégia Saúde da Família and the primary health care service presented a high score related to the essential attributes: longitudinality (7.17 and 6.74), coordination-integration of care (6.87 and 7.03) and coordination-information systems (8.24 and 8.19); and a low score for the attribute access (3.96 and 3.8). The variables: female gender (0.009), education as general practitioner (<0.001), statutory staff (0.029), coordinator position (0.087) and not having another job (0.027) were also associated with the high score. Conclusion: the coverage of the Estratégia Saúde da Família needs to be expanded and structural and organizational shortages in the access need to be overcome.

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