Patient-Reported Outcome Measures in Plastic Surgery: Use and Interpretation in Evidence-Based Medicine

2011 ◽  
Vol 127 (3) ◽  
pp. 1361-1367 ◽  
Author(s):  
Andrea L. Pusic ◽  
Valerie Lemaine ◽  
Anne F. Klassen ◽  
Amie M. Scott ◽  
Stefan J. Cano
2017 ◽  
Vol 158 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Thomas L. Carroll ◽  
Stella E. Lee ◽  
Robin Lindsay ◽  
Drew Locandro ◽  
Gregory W. Randolph ◽  
...  

The assessment of patient-reported outcome measures (PROMs) in the outpatient setting is gaining momentum in clinical and research venues. Implementing this data capture into one’s practice, however, is not a one-size-fits-all venture, and it is critical to determine when, how, and where to include these patient-centered assessments. This installment of the “Evidence-Based Medicine in Otolaryngology” series provides insight into the implementation process and experiences with successful incorporation of PROMs into clinical practice. Specifically, 4 differing clinical scenarios and collection techniques are described, including data acquisition protocols, formats for clinician data usage, and applications of PROM results in clinical and research scenarios.


Author(s):  
YH Tan ◽  
JX Siew ◽  
B Thomas ◽  
KC Ng

Healthcare delivery is moving towards a more personalised and patient-centric approach. There is now an appropriate emphasis on providing value in our healthcare system. Patient-reported outcome measures (PROMs) assess our patients’ perceptions of the status of their health and quality of life, measured over a period of time. PROM is an integral component of a value-driven and value-based healthcare system and is key if we want to practise value-based medicine. In paediatrics and child health, PROMs, if implemented well with appropriate measurement tools that are regularly updated and validated in a self-learning healthcare ecosystem, will help to enhance personalised healthcare delivery and collectively improve the health of the community at large. This review covers the role of PROMs in paediatrics, as well as their role in value-based medicine.


10.2196/16827 ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. e16827 ◽  
Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli

Background Person-generated health data (PGHD) are health data that people generate, record, and analyze for themselves. Although the health benefits of PGHD use have been reported, there is no systematic way for patients to measure and report the health effects they experience from using their PGHD. Patient-reported outcome measures (PROMs) allow patients to systematically self-report their outcomes of a health care service. They generate first-hand evidence of the impact of health care services and are able to reflect the real-world diversity of actual patients and management approaches. Therefore, this paper argues that a PROM of utilizing PGHD, or PROM-PGHD, is necessary to help build evidence-based practice in clinical work with PGHD. Objective This paper aims to describe a method for developing PROMs for people who are using PGHD in conjunction with their clinical care—PROM-PGHD, and the method is illustrated through a case study. Methods The five-step qualitative item review (QIR) method was augmented to guide the development of a PROM-PGHD. However, using QIR as a guide to develop a PROM-PGHD requires additional socio-technical consideration of the PGHD and the health technologies from which they are produced. Therefore, the QIR method is augmented for developing a PROM-PGHD, resulting in the PROM-PGHD development method. Results A worked example was used to illustrate how the PROM-PGHD development method may be used systematically to develop PROMs applicable across a range of PGHD technology types used in relation to various health conditions. Conclusions This paper describes and illustrates a method for developing a PROM-PGHD, which may be applied to many different cases of health conditions and technology categories. When applied to other cases of health conditions and technology categories, the method could have broad relevance for evidence-based practice in clinical work with PGHD.


2019 ◽  
Vol 83 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Kavita Sharma ◽  
Kathryn Steele ◽  
Meg Birks ◽  
Georgina Jones ◽  
Gavin Miller

Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli

BACKGROUND Person-generated health data (PGHD) are health data that people generate, record, and analyze for themselves. Although the health benefits of PGHD use have been reported, there is no systematic way for patients to measure and report the health effects they experience from using their PGHD. Patient-reported outcome measures (PROMs) allow patients to systematically self-report their outcomes of a health care service. They generate first-hand evidence of the impact of health care services and are able to reflect the real-world diversity of actual patients and management approaches. Therefore, this paper argues that a PROM of utilizing PGHD, or PROM-PGHD, is necessary to help build evidence-based practice in clinical work with PGHD. OBJECTIVE This paper aims to describe a method for developing PROMs for people who are using PGHD in conjunction with their clinical care—<i>PROM-PGHD</i>, and the method is illustrated through a case study. METHODS The five-step qualitative item review (QIR) method was augmented to guide the development of a PROM-PGHD. However, using QIR as a guide to develop a PROM-PGHD requires additional socio-technical consideration of the PGHD and the health technologies from which they are produced. Therefore, the QIR method is augmented for developing a PROM-PGHD, resulting in the PROM-PGHD development method. RESULTS A worked example was used to illustrate how the PROM-PGHD development method may be used systematically to develop PROMs applicable across a range of PGHD technology types used in relation to various health conditions. CONCLUSIONS This paper describes and illustrates a method for developing a PROM-PGHD, which may be applied to many different cases of health conditions and technology categories. When applied to other cases of health conditions and technology categories, the method could have broad relevance for evidence-based practice in clinical work with PGHD.


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