scholarly journals Validation of the comprehensiveness of an instrument on ethical problems in primary care

2014 ◽  
Vol 35 (1) ◽  
pp. 148-156 ◽  
Author(s):  
José Roque JUNGES ◽  
Elma Lourdes Campos Pavone Zóboli ◽  
Rafaela SCHAEFER ◽  
Carlise Rigon Dalla NORA ◽  
Mikaela BASSO

The study aimed to validate the comprehensiveness of an instrument on the occurrence of ethical problems in primary health care and discuss their results. This is a methodological research. The technique used was Delphi, which seeks to obtain a consensus on a subject by experts, using structured questionnaires that are modified to obtain consensus on the comprehensibility of content. The sample was composed by nine professionals with expertise in primary health care in São Leopoldo. Data collection was in March and April 2011. In the first round, the professional was asked to respond whether the described situation has represented an ethical problem, whether the statement was clear and whether there was any suggestion to rewriting the problem. Were presented thirty-six statements, and to twenty was suggested new rewrite. After the review and systematization the proposed amendments, has begun the second round to seek consensus among all the statements that its writing had changed. In the second round, the consensus required by the method was obtained. Using the method supported significantly to build the instrument in its initial stage, what makes it appropriated and comprehensive for the subsequent steps of the validation.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L F Pinto ◽  
D Soranz ◽  
L J Santos ◽  
M S Paranhos ◽  
L S Malta ◽  
...  

Abstract Brazil is divided into five administrative regions, 27 federation units and 5,570 municipalities. Mato Grosso do Sul is one of the states located in the Midwest region and has 1.6 million km2 and a resident population of 2.8 million inhabitants, that is, it has an even lower demographic density than its region - only 7.8 inhabitants/km2. Mato Grosso do Sul has part of the Pantanal, a biome considered the largest continuous floodplain in the world, rich in biodiversity. For this reason, displacements for data collection in household surveys combine roads and rivers. In 2019, the Brazilian National Institute of Geography and Statistics (Istituto Nazionale di Statistica del Brasile) in partnership with the Ministry of Health launched the world's largest household sample survey, the National Health Survey (PNS-2019), in which part of its questions included the use of Primary Care Assessment Tool (PCAT, adult version), created by professors Barbara Starfield and Leiyu Shi in the 2000s. IBGE interviewers visited more than 100,000 households across the country. In Mato Grosso do Sul, more than 3,000 households were surveyed. In this work, we present the data collection instrument used by IBGE and its multiple analysis possibilities in the scope of primary health care, crossing the variables from other questionnaire modules in order to compare the results from Brazil with the state of Mato Grosso do Sul and its capital, Campo Grande. Developing a baseline and measuring the attributes of primary health care in each of the Brazilian states is another step towards giving health policy accountability, towards strong primary care. IBGE's experience in household surveys and innovation in data collection in primary care is an example for the world that yes, it is possible to develop statistically representative national sample surveys and make them perennial in their regular household surveys, by the time World Health Organization (WHO) discusses universal health coverage. Key messages Evaluation of primary care using an internationally validated instrument is possible on national bases with random household sample surveys. A questionnaire elaborated academically can be used as an instrument of public policy to evaluate nationwide health services.


2019 ◽  
Vol 8 (3) ◽  
pp. 305 ◽  
Author(s):  
Antonio Nuñez-Montenegro ◽  
Alonso Montiel-Luque ◽  
Esther Martin-Aurioles ◽  
Felicisima Garcia-Dillana ◽  
Monica Krag-Jiménez ◽  
...  

To asses inappropriate prescribing and its predisposing factors in polymedicated patients over the age of 65 in primary health care. Design: cross-sectional study. Setting: Primary care centres in the Costa del Sol Health District and Northern Health Area of Malaga in southern Spain. Participants: Patients older than 65 years who use multiple medications. Data collection was conducted during 1 year in a population of 425 individuals who comprised a stratified randomized sample of the population of health care users in the study area. The data were collected by interview on a structured data collection form. Study variables. Dependent variable: Potentially inappropriate prescribing (PIP) (STOPP/START criteria). Predictor variables: Sociodemographic characteristics, clinical characteristics and medication use. A descriptive analysis of the variables was performed. Statistical inference was based on bivariate analysis (Student’s t or Mann-Whitney U test and chi-squared test) and multivariate analysis was used to control for confounding factors. 73.6% of participants met one or more STOPP/START criteria. According to information about prescribed treatments, 48.5% of participants met at least one STOPP criterion and 43.30% of them met at least one START criterion. The largest percentage of inappropriate prescriptions was associated with cardiovascular treatments. More than three-quarters of the participants had one or more inappropriate prescriptions for medicines in primary care, according to STOPP/START criteria. In addition, PIP was directly related to the number of prescribed medications, gender and specific pathologies (diabetes).


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Pinto ◽  
J V Santos ◽  
M Lobo ◽  
J Viana ◽  
J Souza ◽  
...  

Abstract Background In Portugal, there are different organizational models in primary health care (PHC), mainly regarding the payment scheme. USF-B is the only type with financial incentives to the professional (pay-for-performance). Our goal was to assess the relationship between groups of primary healthcare centres (ACES) with higher proportion of patients within USF-B model and the rate of avoidable hospitalizations, as proxy of primary care quality. Methods We conducted a cross-sectional study considering the 55 ACES from mainland Portugal, in 2017. We used data from public hospitalizations to calculate the prevention quality indicator (avoidable hospitalizations) adjusted for age and sex, using direct standardization. The main independent variable was the proportion of patients in one ACES registered in the USF-B model. Unemployment rate, proportion of patients with family doctor and presence of Local Health Unit (different organization model) within ACES were also considered. The association was assessed by means of a linear regression model. Results Age-sex adjusted PQI value varied between 490 and 1715 hospitalizations per 100,000 inhabitants across ACES. We observed a significant effect of the proportion of patients within USF-B in the crude PQI rate (p = 0.001). However, using the age-sex adjusted PQI, there was not a statistical significant association (p = 0.504). This last model was also adjusted for confounding variables and the association remains non-significant (p = 0.865). Conclusions Our findings suggest that, when adjusting for age and sex, there is no evidence that ACES with more patients enrolled in a pay-for-performance model is associated with higher quality of PHC (using avoidable hospitalizations as proxy). Further studies addressing individual data should be performed. This work was financed by FEDER funds through the COMPETE 2020 - POCI, and by Portuguese funds through FCT in the framework of the project POCI-01-0145-FEDER-030766 “1st.IndiQare”. Key messages Adjusting PQI to sex and age seems to influence its value more than the type of organizational model of primary health care. Groups of primary healthcare centres with more units under the pay-for-performance scheme was not associated with different rate of avoidable hospitalizations.


2014 ◽  
Vol 27 (5) ◽  
pp. 419-426 ◽  
Author(s):  
Elisabete Pimenta Araujo Paz ◽  
Pedro Miguel Santos Dinis Parreira ◽  
Alexandrina de Jesus Serra Lobo ◽  
Rosilene Rocha Palasson ◽  
Sheila Nascimento Pereira de Farias

Objective To develop the cross-cultural validation and assessment of the psychometric properties of the Questionnaire about the quality and satisfaction dimensions of patients with primary health care. Methods Methodological cultural adaptation and assessment study of the psychometric properties, involving 398 users from a primary care service. The construct validity was verified through principal components factor analysis and internal consistency assessment as determined by Cronbach’s alpha, using SPSS. Results A factorial structure was identified that is equivalent to the original instrument, showing six factors that explain 70.81% of the total variance. All internal consistency coefficients were higher than 0.84, indicating appropriate psychometric properties. Conclusion The results show that the Brazilian Portuguese version of the instrument is culturally and linguistically appropriate to assess the satisfaction of users attended in primary care services.


Author(s):  
Sabrina T. Wong ◽  
Julia M. Langton ◽  
Alan Katz ◽  
Martin Fortin ◽  
Marshall Godwin ◽  
...  

AbstractAimTo describe the process by which the 12 community-based primary health care (CBPHC) research teams worked together and fostered cross-jurisdictional collaboration, including collection of common indicators with the goal of using the same measures and data sources.BackgroundA pan-Canadian mechanism for common measurement of the impact of primary care innovations across Canada is lacking. The Canadian Institutes for Health Research and its partners funded 12 teams to conduct research and collaborate on development of a set of commonly collected indicators.MethodsA working group representing the 12 teams was established. They undertook an iterative process to consider existing primary care indicators identified from the literature and by stakeholders. Indicators were agreed upon with the intention of addressing three objectives across the 12 teams: (1) describing the impact of improving access to CBPHC; (2) examining the impact of alternative models of chronic disease prevention and management in CBPHC; and (3) describing the structures and context that influence the implementation, delivery, cost, and potential for scale-up of CBPHC innovations.FindingsNineteen common indicators within the core dimensions of primary care were identified: access, comprehensiveness, coordination, effectiveness, and equity. We also agreed to collect data on health care costs and utilization within each team. Data sources include surveys, health administrative data, interviews, focus groups, and case studies. Collaboration across these teams sets the foundation for a unique opportunity for new knowledge generation, over and above any knowledge developed by any one team. Keys to success are each team’s willingness to engage and commitment to working across teams, funding to support this collaboration, and distributed leadership across the working group. Reaching consensus on collection of common indicators is challenging but achievable.


1995 ◽  
Vol 19 (6) ◽  
pp. 371-371
Author(s):  
Michael Phelan

This one day seminar was arranged by the King's Fund Organisational Audit team (KFOA), to take a multidisciplinary view of quality improvement in primary care. Despite the title of the day all the speakers were general practitioners and managers, and input from other professional groups was limited to questions and comments from the audience of nearly 200.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S157-S157
Author(s):  
Shabinabegam A M Sheth ◽  
Bhavya Bairy ◽  
Aurobind Ganesh ◽  
Sumi Jain ◽  
Prabhat Chand ◽  
...  

AimsAs per National Mental Health Survey-2015-16, 83 out of 100 people having mental health problems do not have access to care in India. Further, primary health care providers (PCPs) have not been adequately trained in the screening, diagnosis, and initial management of common mental health conditions. There is thus a need to train health care providers at the State level to incorporate mental health into primary health care. In this paper, we report the findings of a collaborative project between the National Institute of Mental Health and Neuro Sciences (NIMHANS) Bangalore India, and the state of Chhattisgarh incorporating mental health into primary care and addressing urban-rural disparities through tele-mentoring.MethodWe assessed the impact of the NIMHANS Extended Community Health Care Outcome (ECHO), an online, blended training program on participants' knowledge and competence (primary outcome) and commitment, satisfaction, and performance (Secondary outcomes) using Moore's evaluation framework. Primary and secondary outcomes were determined through a pre-post evaluation, assessment of trainee participation in the quarterly tele ECHO clinic as well as periodic assignments, respectively.ResultOver ten months of the NIMHANS ECHO program, there was a significant improvement in the participants' knowledge post-ECHO (p < 0.05, t = −3.52). Self-efficacy in diagnosis and management of mental health problems approached significance; p < 0.001. Increased engagement in tele-ECHO sessions was associated with better performance for declarative and procedural knowledge. The attrition rate was low (5 out of 30 dropped out), and satisfaction ratings of the course were high across all fields. The participants reported a 10- fold increase in the number of patients with mental health problems they had seen, following the training. A statistically significant increase in the number of psychotropic drugs prescribed post ECHO with t = −3.295, p = 0.01.ConclusionThe outcomes indicate that the NIMHANS ECHO with high participant commitment is a model with capacity building potential in mental health and addiction for remote and rural areas by leveraging technology. This model has the potential to be expanded to other states in the country in providing mental health care to persons in need of care.


Author(s):  
Mikaela Lopes de Caldas ◽  
Francisco Das Chagas Cardoso Filho

A tuberculose (TB) é uma doença infecciosa e transmissível, causada pelo Mycobacterium tuberculosis. A detecção de casos figura entre as principais medidas de controle da tuberculose, embora grandes avanços tenham ocorrido no que se relaciona ao diagnóstico, tratamento e prevenção da doença, a mesma ainda requer atenção especial, por parte dos profissionais da saúde (equipe multiprofissional) e da sociedade como um todo. A Atenção Básica se caracteriza como ferramenta primordial na suspeição e na detecção dos casos de tuberculose na comunidade. O objetivo geral do presente trabalho é identificar produções científicas que avaliem o desempenho da Atenção Básica no controle da tuberculose. Os objetivos específicos foram: ressaltar a importância da Atenção Básica na detecção dos casos suspeitos; expor a relevância da Atenção Básica como fator indispensável no controle da tuberculose. Caracteriza-se como uma pesquisa bibliográfica explicativa e explorativa, realizada no recorte histórico de 1998 a 2011, período esse definidor para a implementação de medidas de controle da tuberculose. Encontraram-se 29 referências, das quais 19 obedeciam aos critérios de inclusão. Portanto, a Atenção Básica caracterizada como principal porta de entrada ao acesso à saúde, proporciona a aproximação do cidadão às medidas de controle da tuberculose, assim como promove a educação em saúde, que visa a prevenção dos agravos e proporcionam autonomia e autoconhecimento que são indispensáveis para a manutenção da saúde frente às doenças preveníveis como a tuberculose, porém que se configuram como problemas de saúde pública. Palavras-chave: Tuberculose. Atenção Básica. Controle. AbstractTuberculosis (TB) is an infectious and communicable disease caused by mycobacterium tuberculosis. The case detection is one of the main control  measures of tuberculosis, although major advances have occurred regarding the diagnosis, treatment and prevention of the disease, the same still requires special attention on the part of health professionals (multidisciplinary team) and society as a whole. The primary care is characterized as a primary tool in suspicion and detection of tuberculosis cases in the community. The overall objective of this study is to identify scientific production to assess the performance of primary health care in tuberculosis control. The specific objectives were to highlight the importance of primary care in the detection of suspected cases; expose the relevance of primary health care as an essential factor in tuberculosis control. It is characterized as an explanatory and exploratory literature survey, conducted in historical period from 1998 to 2011, a period defined for the implementation of tb control measures. It was found 29 references, 19 of which obeyed the inclusion criteria. Therefore, the primary care characterized as the main gateway to access to health, provides the citizen’s approach to tuberculosis control measures and promotes health education aimed at prevention of injuries and provides autonomy and self-knowledge that are essential for maintenance health against preventable diseases such as tuberculosis, but which are seen as  the main  public health problems. Keywords: Tuberculosis. Primary Care. Control. 


2018 ◽  
Author(s):  
Matthew Willis ◽  
Paul Duckworth ◽  
Angela Coulter ◽  
Eric T Meyer ◽  
Michael Osborne

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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