scholarly journals Health Data Processes: A Framework for Analyzing and Discussing Efficient Use and Reuse of Health Data With a Focus on Patient-Reported Outcome Measures

10.2196/12412 ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. e12412 ◽  
Author(s):  
Niels Henrik Ingvar Hjollund ◽  
José Maria Valderas ◽  
Derek Kyte ◽  
Melanie Jane Calvert
Keyword(s):  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Health Data ◽  
Patient Reported

scholarly journals Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method

10.2196/16827 ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. e16827 ◽  
Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli
Keyword(s):  
Health Care ◽  
Outcome Measures ◽  
Clinical Work ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Health Data ◽  
Health Conditions ◽  
Evidence Based ◽  
Development Method ◽  
Patient Reported

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.

scholarly journals Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method (Preprint)

2019 ◽  
Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli
Keyword(s):  
Health Care ◽  
Outcome Measures ◽  
Clinical Work ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Health Data ◽  
Health Conditions ◽  
Evidence Based ◽  
Development Method ◽  
Patient Reported

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.

Impact of Depression on Patient-Reported Outcome Measures After Lumbar Spine Decompression

Spine ◽  
2018 ◽  
Vol 43 (6) ◽  
pp. 434-439 ◽  
Author(s):  
Robert K. Merrill ◽  
Lukas P. Zebala ◽  
Colleen Peters ◽  
Sheeraz A. Qureshi ◽  
Steven J. McAnany
Keyword(s):  
Lumbar Spine ◽  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Patient Reported

Preoperative Opioid Use in Patients Undergoing Common Hand Surgeries

Hand ◽  
2021 ◽  
pp. 155894472097412
Author(s):  
Ali Aneizi ◽  
Dominique Gelmann ◽  
Dominic J. Ventimiglia ◽  
Patrick M. J. Sajak ◽  
Vidushan Nadarajah ◽  
...  
Keyword(s):  
Outcome Measures ◽  
Hand Surgery ◽  
Patient Characteristics ◽  
Patient Reported Outcome Measures ◽  
Pain Scale ◽  
Patient Reported Outcome ◽  
Measurement Information ◽  
Opioid Use ◽  
Patient Reported ◽  
Opioid Users

Background: The objectives of this study were to determine the baseline patient characteristics associated with preoperative opioid use and to establish whether preoperative opioid use is associated with baseline patient-reported outcome measures in patients undergoing common hand surgeries. Methods: Patients undergoing common hand surgeries from 2015 to 2018 were retrospectively reviewed from a prospective orthopedic registry at a single academic institution. Medical records were reviewed to determine whether patients were opioid users versus nonusers. On enrollment in the registry, patients completed 6 Patient-Reported Outcomes Measurement Information System (PROMIS) domains (Physical Function, Pain Interference, Fatigue, Social Satisfaction, Anxiety, and Depression), the Brief Michigan Hand Questionnaire (BMHQ), a surgical expectations questionnaire, and Numeric Pain Scale (NPS). Statistical analysis included multivariable regression to determine whether preoperative opioid use was associated with patient characteristics and preoperative scores on patient-reported outcome measures. Results: After controlling for covariates, an analysis of 353 patients (opioid users, n = 122; nonusers, n = 231) showed that preoperative opioid use was associated with higher American Society of Anesthesiologists class (odds ratio [OR], 2.88), current smoking (OR, 1.91), and lower body mass index (OR, 0.95). Preoperative opioid use was also associated with significantly worse baseline PROMIS scores across 6 domains, lower BMHQ scores, and NPS hand scores. Conclusions: Preoperative opioid use is common in hand surgery patients with a rate of 35%. Preoperative opioid use is associated with multiple baseline patient characteristics and is predictive of worse baseline scores on patient-reported outcome measures. Future studies should determine whether such associations persist in the postoperative setting between opioid users and nonusers.

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