scholarly journals Article Commentary: Patient-Reported Outcomes (PROs) and Patient-Reported Outcome Measures (PROMs)

2013 ◽  
Vol 6 ◽  
pp. HSI.S11093 ◽  
Author(s):  
Theresa Weldring ◽  
Sheree M.S. Smith

In recent years, there has been an increased focus on placing patients at the center of health care research and evaluating clinical care in order to improve their experience and ensure that research is both robust and of maximum value for the use of medicinal products, therapy, or health services. This paper provides an overview of patients’ involvement in clinical research and service evaluation along with its benefits and limitations. We describe and discuss patient-reported outcomes (PROs) and patient-reported outcome measures (PROMs), including the trends in current research. Both the patient-reported experiences measures (PREMs) and patient and public involvement (PPI) initiative for including patients in the research processes are also outlined. PROs provide reports from patients about their own health, quality of life, or functional status associated with the health care or treatment they have received. PROMs are tools and/or instruments used to report PROs. Patient report experiences through the use of PREMs, such as satisfaction scales, providing insight into the patients’ experience with their care or a health service. There is increasing international attention regarding the use of PREMS as a quality indicator of patient care and safety. This reflects the ongoing health service commitment of involving patients and the public within the wider context of the development and evaluation of health care service delivery and quality improvement.

2020 ◽  
pp. 1-11
Author(s):  
James L. Farnsworth ◽  
Todd Evans ◽  
Helen Binkley ◽  
Minsoo Kang

Context: Previous research suggests that several knee-specific patient-reported outcome measures have poor measurement properties. The patient-reported outcomes knee assessment tool (PROKAT) was created to improve assessment of knee-specific function. Examination of the measurement properties of this new measure is critical to determine its clinical value. Objective: Examine the measurement properties of the PROKAT. Design: Cross-sectional study. Setting: Clinical athletic training setting. Patients or Other Participants: The pilot study included 32 student-athletes (mean age = 20.78 [1.01], males = 56.30%). The full study included 203 student-athletes (mean age = 21.46 [4.64], males = 54.70%) from 3 separate institutions. The participants were recruited for both the pilot and full study using face-to-face and electronic (eg, email and social media sites) communications. Intervention(s): Evaluation of the measurement properties of the PROKAT occurred using the Rasch partial-credit model. Main Outcome Measures: Infit and outfit statistics, item step difficulties, person ability parameters, category function, item and test information functions, and Cronbach alpha. An independent samples t test was used to evaluate the differences in injured and noninjured athletes’ scores. Results: The Rasch partial-credit model analysis of pilot test items and qualitative participant feedback were used to modify the initial PROKAT. Evaluation of the revised PROKAT (32 items) indicated 27 items had acceptable model–data fit. The injured athletes scored significantly worse than the noninjured athletes (t188 = 12.89; P < .01). The ceiling effects for the PROKAT were minimal (3.9%). Conclusions: A major advantage of this study was the use of the Rasch measurement and the targeted population. Compared with alternative knee-specific patient-reported outcome measures (eg, Knee Injury Osteoarthritis Outcome Score, International Knee Documentation Committee Subjective Knee Form), the PROKAT has low ceiling effects in athletic populations. In addition, evidence suggests the measure may be capable of distinguishing between injured and noninjured athletes.


2021 ◽  
pp. 1-2
Author(s):  
Susana  Couto Irving 

Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study). <b>Background:</b> E-health based patient-reported outcome measures (PROMs) have the potential to automate early identification of both nutrition status and distress status in cancer patients while facilitating treatment and encouraging patient participation. This cross-sectional study assessed the acceptability, accuracy, and clinical utility of PROMs collected via E-Health tools among patients undergoing treatment for stomach, colorectal, and pancreatic tumors. <b>Results:</b> Eight-nine percent mostly, or completely, agreed that PROMs via tablets should be integrated in routine clinical care. Men were significantly more likely to require help completing the questionnaires than women (inv.OR = 0.51, 95% CI = (0.27, 0.95), p = 0.035). The level of help needed increased by 3% with each 1-year increase in age (inv. OR = 1.03, 95% CI = (1.01, 1.06), p = 0.013). On average, a patient tended to declare weight which was 0.84 kg inferior to their true weight (Bland and Altman 95 % CI = (–3.9, 5.6); SD: 2.41) and a height which was 0.95 cm superior to their true height (Bland and Altman 95 % CI = (−5, 3.1); SD 2.08). Patient-reported nutrition status was significantly associated with the professionally generated assessment (95% CI = (2.27, 4.15), p &#x3c; 0.001). As nutrition status declined, the distress score increased (95%CI = (0.88, 1.68), p &#x3c; 0.001). Of the patients, 48.8% who were both distressed and malnourished requested supportive care to address their problems. <b>Conclusion:</b> Patient-reported assessments utilizing E-health tools are an accurate and efficient method to encourage patient participation in cancer care while simultaneously ensuring that regular assessment of psycho-social and nutritional aspects of care are efficiently integrated in the daily clinical routine.


Author(s):  
D. Leander Rimmele ◽  
Lisa Lebherz ◽  
Marc Frese ◽  
Hannes Appelbohm ◽  
Hans-Jürgen Bartz ◽  
...  

Abstract Introduction The impact of stroke-related impairment on activities of daily living may vary between patients, and can only be estimated by applying patient-reported outcome measures. The International Consortium for Health Outcome Measurement has developed a standard set of instruments that combine clinical and longitudinal patient-reported outcome measures for stroke. The present study was designed (1) to implement and evaluate the feasibility of the use of it as a consistent outcome measure in clinical routine at the stroke center of a German university hospital, (2) to characterize impairment in everyday life caused by stroke, and (3) to identify predictive factors associated with patient-relevant outcomes. Methods We plan to enroll 1040 consecutive patients with the diagnosis of acute ischemic stroke, transient ischemic attack, or intracerebral hemorrhage in a prospective observational study. Demographics, cardiovascular risk factors, and living situation are assessed at inpatient surveillance. At 90 days and 12 months after inclusion, follow-up assessments take place including the Patient-reported Outcomes Measurement Information System 10-Question Short Form (PROMIS-10), the Patient- Health Questionnaire-4, and the simplified modified Ranking Scale questionnaire. The acceptance and feasibility (1) will be assessed by a process evaluation through qualitative semi-structured interviews with clinical staff and patients and quantitative analyses of the data quality evaluating practicability, acceptance, adoption, and fidelity to protocol. The primary outcome of objective 2 and 3 is health-related quality of life measured with the PROMIS-10. Additional outcomes are depressive and anxiety symptoms and patient participation in their social roles. Patient-reported outcomes will be assessed in their longitudinal course using (generalized) mixed regressions. Exploratory descriptive and inference statistical analyses will be used to find patterns of patient characteristics and predictive factors of the outcome domains. Perspective The results will describe and further establish the evaluation of stroke patients of a stroke center by standardized PROMs in everyday life. Trial registration The trial is registered at ClinicalTrials.gov (NCT03795948). Approval of the local ethics committee (Ethik-Kommission der Ärztekammer Hamburg) has been obtained.


2019 ◽  
Vol 105 (3) ◽  
pp. 185-188 ◽  
Author(s):  
Heidi Makrinioti ◽  
Andrew Bush ◽  
Chris Griffiths

There are no outcomes-based commissioning structures in child health. This needs to change. Preschool wheeze is a very common condition. Many families present at emergency departments with their wheezy children and stay briefly. This highlights that this group of children may be lacking a more personalised approach. There are no user-friendly patient-reported outcome measures in preschool wheeze. This needs to change. Research in this area is therefore highly anticipated.


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.


2018 ◽  
Vol 26 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Heather Taffet Gold ◽  
Raj J Karia ◽  
Alissa Link ◽  
Rachel Lebwohl ◽  
Joseph D Zuckerman ◽  
...  

We integrated and optimized patient-reported outcome measures into the electronic health record to provide quantitative, objective data regarding patients’ health status, which is important for patient care, payer contracts, and research. With a multidisciplinary team from information technology, clinical informatics, population health, and physician champions, we used formal human–computer interaction techniques and user-centered design to integrate several technology platforms and computerized adaptive testing for the National Institutes of Health Patient-Reported Outcomes Measurement Information System. The patient-reported outcome measure system leverages software frequently used by health systems and provides data for research and clinical care via a mobile-responsive web application using Symfony, with REDCap for configuring assessments and de-identified data storage. The system incorporates Oracle databases and Epic flowsheets. Patients complete patient-reported outcome measures, with data viewable in MyChart and Epic Synopsis Reports. Researchers can access data portals. The highly usable, successful patient-reported outcome measures platform is acceptable to patients and clinicians and achieved 73 percent overall completion rates.


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