scholarly journals Augmentation of Patient Health Care Choices for Morbid Obesity by Use of Computer Decision Analysis

2014 ◽  
Vol 7 (4) ◽  
Author(s):  
Yaw Sarpong
Keyword(s):  
Health Care ◽  
Morbid Obesity ◽  
Decision Analysis ◽  
Patient Health ◽  
Health Care Choices

scholarly journals Improving Communications With Patients and Families in Geriatric Care. The How, When, and What

2021 ◽  
Vol 8 ◽  
pp. 237437352110340
Author(s):  
Shirley Chien-Chieh Huang ◽  
Alden Morgan ◽  
Vanessa Peck ◽  
Lara Khoury
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Family Caregivers ◽  
Health Care Providers ◽  
Tertiary Care ◽  
Care Providers ◽  
Telephone Interviews ◽  
Written Information ◽  
Geriatric Unit ◽  
Patient Health

There has been little published literature examining the unique communication challenges older adults pose for health care providers. Using an explanatory mixed-methods design, this study explored patients’ and their family/caregivers’ experiences communicating with health care providers on a Canadian tertiary care, inpatient Geriatric unit between March and September 2018. In part 1, the modified patient–health care provider communication scale was used and responses scored using a 5-point scale. In part 2, one-on-one telephone interviews were conducted and responses transcribed, coded, and thematically analyzed. Thirteen patients and 7 family/caregivers completed part 1. Both groups scored items pertaining to adequacy of information sharing and involvement in decision-making in the lowest 25th percentile. Two patients and 4 family/caregivers participated in telephone interviews in part 2. Interview transcript analysis resulted in key themes that fit into the “How, When, and What” framework outlining the aspects of communication most important to the participants. Patients and family/caregivers identified strategic use of written information and predischarge family meetings as potentially valuable tools to improve communication and shared decision-making.

The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review

2021 ◽  
pp. 0272989X2110190
Author(s):  
Ilyas Khan ◽  
Liliane Pintelon ◽  
Harry Martin
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Decision Analysis ◽  
Medical Devices ◽  
Hybrid Methods ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Health Care Decision ◽  
Wide Range ◽  
Care Decision

Objectives The main objectives of this article are 2-fold. First, we explore the application of multicriteria decision analysis (MCDA) methods in different areas of health care, particularly the adoption of various MCDA methods across health care decision making problems. Second, we report on the publication trends on the application of MCDA methods in health care. Method PubMed was searched for literature from 1960 to 2019 in the English language. A wide range of keywords was used to retrieve relevant studies. The literature search was performed in September 2019. Articles were included only if they have reported an MCDA case in health care. Results and Conclusion The search yielded 8,318 abstracts, of which 158 fulfilled the inclusion criteria and were considered for further analysis. Hybrid methods are the most widely used methods in health care decision making problems. When it comes to single methods, analytic hierarchy process (AHP) is the most widely used method followed by TOPSIS (technique for order preference by similarity to ideal solution), multiattribute utility theory, goal programming, EVIDEM (evidence and value: impact on decision making), evidential reasoning, discrete choice experiment, and so on. Interestingly, the usage of hybrid methods has been high in recent years. AHP is most widely applied in screening and diagnosing and followed by treatment, medical devices, resource allocation, and so on. Furthermore, treatment, screening and diagnosing, medical devices, and drug development and assessment got more attention in the MCDA context. It is indicated that the application of MCDA methods to health care decision making problem is determined by the nature and complexity of the health care problem. However, guidelines and tools exist that assist in the selection of an MCDA method.

scholarly journals Psychometrics of the Computer-Based Relationships With Health Care Provider Scale in Older Adults

2011 ◽  
Vol 19 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Elizabeth H. Anderson ◽  
Patricia J. Neafsey ◽  
Sheri Peabody
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Health Care Provider ◽  
Care Provider ◽  
Patient Adherence ◽  
Internal Consistency Reliability ◽  
Scientific Data ◽  
Patient Health ◽  
Computer Based

The type and quality of the provider–patient health care relationship impacts patient adherence. The study purpose was to convert the 5-item paper and pencil Relationships With Health Care Provider Scale (RHCPS) to a reliable and valid computer-based scale for use with older adults. Outpatient adults (N = 121) older than 59 years were recruited. The RHCPS underwent several iterations documenting internal consistency reliability, content and factorial validity, and scale usability in a computer tablet format. A total of 5 expert judges rated all 5 items as valid, which resulted in a scale content validity index of 1. Cronbach’s standardized alpha was .81. Principal components analysis extracted 1 factor (eigenvalue > 1; confirmed by scree plot) as anticipated. Computer-based RHCPS has the potential to reveal valuable clinical and scientific data on patient–provider relationships among older adults.

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