Current Allergic Rhinitis Experiences Survey (CARES): Health-care practitioners' awareness, attitudes and practices

2014 ◽  
Vol 35 (4) ◽  
pp. 316-322 ◽  
Author(s):  
Michael S. Blaiss ◽  
Leonard M. Fromer ◽  
Juby A. Jacob-Nara ◽  
Randall M. Long ◽  
Karen M. Mannion ◽  
...  
Keyword(s):  
Health Care ◽  
Allergic Rhinitis ◽  
Attitudes And Practices ◽  
Health Care Practitioners

Handbook on Sensitive Practice for Health Care Practitioners: Lessons from Adult Survivors of Childhood Sexual Abuse

2009 ◽  
Author(s):  
Candice L. Schachter ◽  
Carol A. Stalker ◽  
Eli Teram ◽  
Gerri C. Lasiuk ◽  
Alanna Danilkewich
Keyword(s):  
Health Care ◽  
Sexual Abuse ◽  
Childhood Sexual Abuse ◽  
Adult Survivors ◽  
Health Care Practitioners

A New Scale of Readiness for Health Care Students to Encounter Partner Abuse

2020 ◽  
pp. 088626052098113
Author(s):  
Simon Sawyer ◽  
Glenn Melvin ◽  
Angela Williams ◽  
Brett Williams
Keyword(s):  
Health Care ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Partner Abuse ◽  
Content Validation ◽  
Post Intervention ◽  
Good Reliability ◽  
Health Care Students ◽  
Australian Health ◽  
Health Care Practitioners

Partner abuse (PA) is associated with significant morbidity and mortality worldwide. Health care practitioners regularly encounter patients experiencing PA and require comprehensive education on how to respond. This study describes the creation and validation of a new measure of readiness to encounter patients experiencing PA for health care practitioners and students. Initial item development and content validation were informed by expert feedback. Psychometric properties were assessed using data collected from Australian health care students, using Principal Components Analysis (PCA) and Confirmatory Factor Analysis (CFA). Internal consistency, inter-scale correlations, and test–retest analysis were performed. An initial pool of 67 items was reduced to 48 following content validation by 5 experts as a measure of construct validity. A total of n = 926 responses were collected, which were randomly split into two groups to perform a PCA and CFA. The PCA resulted in a 31-item version, which was further reduced to a 27-item version following the CFA, containing four factors. Internal consistency and test–retest analyses demonstrated good reliability. The produced scale is a 27-item measure of readiness to encounter patients experiencing PA, which has demonstrated good psychometric properties with a sample of Australian health care students. Results indicate that self-efficacy and Emotional-readiness are a large component of readiness. The scale may be used to measure the readiness of a cohort, or as a pre and post-intervention measure, and results may provide insight into the educational needs of a cohort.

A survey of health care practitioners’ attitudes toward shared decision‐making for choice of next birth after cesarean

Birth ◽  
2021 ◽  
Author(s):  
Sarah Munro ◽  
Elizabeth S. Wilcox ◽  
Leah K. Lambert ◽  
Monica Norena ◽  
Sarah Kaufman ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Shared Decision Making ◽  
Shared Decision ◽  
Health Care Practitioners

scholarly journals Using logic models to enhance the methodological quality of primary health-care interventions: guidance from an intervention to promote nutrition care by general practitioners and practice nurses

2017 ◽  
Vol 23 (1) ◽  
pp. 53 ◽  
Author(s):  
Lauren Ball ◽  
Dianne Ball ◽  
Michael Leveritt ◽  
Sumantra Ray ◽  
Clare Collins ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Care Setting ◽  
Logic Model ◽  
Practice Nurses ◽  
Nutrition Care ◽  
Health Care Interventions ◽  
Primary Health ◽  
Health Care Practitioners ◽  
Logic Models

The methodological designs underpinning many primary health-care interventions are not rigorous. Logic models can be used to support intervention planning, implementation and evaluation in the primary health-care setting. Logic models provide a systematic and visual way of facilitating shared understanding of the rationale for the intervention, the planned activities, expected outcomes, evaluation strategy and required resources. This article provides guidance for primary health-care practitioners and researchers on the use of logic models for enhancing methodological rigour of interventions. The article outlines the recommended steps in developing a logic model using the ‘NutriCare’ intervention as an example. The ‘NutriCare’ intervention is based in the Australian primary health-care setting and promotes nutrition care by general practitioners and practice nurses. The recommended approach involves canvassing the views of all stakeholders who have valuable and informed opinions about the planned project. The following four targeted, iterative steps are recommended: (1) confirm situation, intervention aim and target population; (2) document expected outcomes and outputs of the intervention; (3) identify and describe assumptions, external factors and inputs; and (4) confirm intervention components. Over a period of 2 months, three primary health-care researchers and one health-services consultant led the collaborative development of the ‘NutriCare’ logic model. Primary health-care practitioners and researchers are encouraged to develop a logic model when planning interventions to maximise the methodological rigour of studies, confirm that data required to answer the question are captured and ensure that the intervention meets the project goals.

Sign in / Sign up

Export Citation Format

Share Document