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American Journal of Surgery Jul 2022
Topics: Biomedical Research; Humans; Outcome Assessment, Health Care; Surgeons
PubMed: 35317922
DOI: 10.1016/j.amjsurg.2022.03.013 -
Circulation Jul 2008
Review
Topics: Evidence-Based Medicine; Health Policy; Health Services Accessibility; Healthcare Disparities; Humans; Outcome Assessment, Health Care; Patient-Centered Care; Quality Assurance, Health Care; Safety Management; Treatment Outcome
PubMed: 18625906
DOI: 10.1161/CIRCULATIONAHA.107.690917 -
The Patient Jul 2021
Topics: Economics, Medical; Humans; Outcome Assessment, Health Care; Public Health
PubMed: 33728553
DOI: 10.1007/s40271-021-00505-3 -
Expert Review of Pharmacoeconomics &... Aug 2021: Despite the number of systematic reviews of how artificial intelligence is being used in different areas of medicine, there is no study on the scope of artificial...
: Despite the number of systematic reviews of how artificial intelligence is being used in different areas of medicine, there is no study on the scope of artificial intelligence methods used in outcomes research, the cornerstone of health technology assessment (HTA). This systematic scoping review aims to systematically capture the scope of artificial intelligence methods used in outcomes research to enhance decision-makers' knowledge and broaden perspectives for health technology assessment and adoption.: The review identified 370 studies, consisted of artificial intelligence methods applied to adult patients who underwent any health/medical intervention and reported therapeutic, preventive, or prognostic outcomes. Artificial intelligence was mainly used for the prediction/prognosis of more frequently reported outcomes, efficacy/effectiveness, among morbidity outcomes. The predictive analysis was common in neoplastic disorders. Neural networks algorithm was predominantly found in surgical method studies, but a mixture of artificial intelligence algorithms was applied to the studies with the rest of the interventions.: There are certain gaps in artificial intelligence applications used in outcomes research across therapeutic areas and further considerations are needed by decision-makers before incorporating artificial intelligence usage into HTA decision-making processes.
Topics: Adult; Algorithms; Artificial Intelligence; Decision Making; Humans; Neoplasms; Neural Networks, Computer; Outcome Assessment, Health Care; Prognosis; Technology Assessment, Biomedical
PubMed: 33554681
DOI: 10.1080/14737167.2021.1886083 -
The Laryngoscope Feb 2002This is the fifth in a series of sequential "Tutorials in Clinical Research." The objective of the present report is to give the reader a broad overview of the field of... (Review)
Review
OBJECTIVES
This is the fifth in a series of sequential "Tutorials in Clinical Research." The objective of the present report is to give the reader a broad overview of the field of outcomes research. This summary is intended to enable the reader to understand outcomes research methodology and to start the design of an outcomes research study.
STUDY DESIGN
Tutorial.
METHODS
The authors developed the report from available materials and refined it to be concise but complete for use by the practicing clinician.
RESULTS
We describe the basic steps of record-based and patient-based outcomes research, including development of a staging system, identification of comorbid conditions, and creation or identification of an outcomes instrument.
CONCLUSION
Outcomes research is a unique methodology that uses patient-based outcomes to assess the effectiveness of medical treatment.
Topics: Evidence-Based Medicine; Female; Health Services Research; Humans; Male; Otorhinolaryngologic Diseases; Outcome Assessment, Health Care; Research Design; Treatment Outcome; United States
PubMed: 11889379
DOI: 10.1097/00005537-200202000-00010 -
The British Journal of Psychiatry : the... Jul 2002Outcomes research involves the secondary analysis of data collected routinely by clinical services, in order to judge the effectiveness of interventions and policy... (Review)
Review
BACKGROUND
Outcomes research involves the secondary analysis of data collected routinely by clinical services, in order to judge the effectiveness of interventions and policy initiatives. It permits the study of large databases of patients who are representative of 'real world' practice. However, there are potential problems with this observational design.
AIMS
To establish the strengths and limitations of outcomes research when applied in mental health.
METHOD
A systematic review was made of the application of outcomes research in mental health services research.
RESULTS
Nine examples of outcomes research in mental health services were found. Those that used insurance claims data have information on large numbers of patients but use surrogate outcomes that are of questionable value to clinicians and patients. Problems arise when attempting to adjust for important confounding variables using routinely collected claims data, making results difficult to interpret.
CONCLUSIONS
Outcomes research is unlikely to be a quick or cheap means of establishing evidence for the effectiveness of mental health practice and policy.
Topics: Confounding Factors, Epidemiologic; Diagnosis-Related Groups; Health Services Research; Humans; Mental Health Services; Outcome Assessment, Health Care; Sample Size
PubMed: 12091257
DOI: 10.1192/bjp.181.1.8 -
Clinical Therapeutics Feb 2003Outcomes research in oncology is a relatively young field, but its potential for expanding our understanding of patients' experiences with cancer gives it increasing... (Review)
Review
Outcomes research in oncology is a relatively young field, but its potential for expanding our understanding of patients' experiences with cancer gives it increasing relevance to clinical oncology research. We provide a brief overview of the growing prevalence of oncology outcomes research, and we discuss some of the key areas of inquiry currently engaging outcomes researchers. In doing so, we introduce the articles in this supplemental section, which address some of the unique concerns of outcomes researchers and outline the most important challenges confronting this research community.
Topics: Decision Making; Health Services Accessibility; Humans; Neoplasms; Outcome Assessment, Health Care; Quality of Health Care
PubMed: 12749520
DOI: 10.1016/s0149-2918(03)80103-0 -
Chest Oct 2022
Topics: Body Mass Index; Humans; Obesity; Outcome Assessment, Health Care; Risk Factors
PubMed: 36210119
DOI: 10.1016/j.chest.2022.06.043 -
Annual Review of Public Health 1999This paper describes the key methodological and substantive findings of Patient Outcomes Research Teams, the first outcomes and effectiveness research centers funded by... (Review)
Review
This paper describes the key methodological and substantive findings of Patient Outcomes Research Teams, the first outcomes and effectiveness research centers funded by the Agency for Health Care Policy and Research. Patient Outcomes Research Teams contributed to our increased understanding of how to perform meta analysis on nontrial data, use administrative data to characterize patterns of care, develop general and disease-specific outcome measures, and disseminate important outcome information to patients and physicians to reduce practice variation. Patient Outcomes Research Teams also influenced the development of outcomes measurement in the private sector.
Topics: Health Services Research; Humans; Outcome Assessment, Health Care; Treatment Outcome; United States
PubMed: 10352862
DOI: 10.1146/annurev.publhealth.20.1.337 -
Anesthesiology Mar 2015
Topics: Humans; Outcome Assessment, Health Care; Patient-Centered Care; Perioperative Care; Survival Rate
PubMed: 25689756
DOI: 10.1097/ALN.0000000000000587