scholarly journals Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review

Informatics ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 56
Author(s):  
Deepika Verma ◽  
Kerstin Bach ◽  
Paul Jarle Mork
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Clinical Outcomes ◽  
Outcome Measures ◽  
Clinical Decision Making ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Patient Reported

The field of patient-centred healthcare has, during recent years, adopted machine learning and data science techniques to support clinical decision making and improve patient outcomes. We conduct a literature review with the aim of summarising the existing methodologies that apply machine learning methods on patient-reported outcome measures datasets for predicting clinical outcomes to support further research and development within the field. We identify 15 articles published within the last decade that employ machine learning methods at various stages of exploiting datasets consisting of patient-reported outcome measures for predicting clinical outcomes, presenting promising research and demonstrating the utility of patient-reported outcome measures data for developmental research, personalised treatment and precision medicine with the help of machine learning-based decision-support systems. Furthermore, we identify and discuss the gaps and challenges, such as inconsistency in reporting the results across different articles, use of different evaluation metrics, legal aspects of using the data, and data unavailability, among others, which can potentially be addressed in future studies.

scholarly journals Patient-Reported Outcome Measures and Clinical Outcomes in Children with Foregut Anomalies

Children ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 587
Author(s):  
Isabel I. Sreeram ◽  
Chantal A. ten Kate ◽  
Joost van Rosmalen ◽  
Johannes M. Schnater ◽  
Saskia J. Gischler ◽  
...  
Keyword(s):  
Linear Regression ◽  
Clinical Outcomes ◽  
Outcome Measures ◽  
Clinical Decision Making ◽  
Linear Regression Analysis ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Added Value ◽  
Patient Reported

Increasing numbers of children and adults with chronic disease status highlight the need for a value-based healthcare system. Patient-reported outcome measures (PROMs) are essential to value-based healthcare, yet it remains unclear how they relate to clinical outcomes such as health and daily functioning. We aimed to assess the added value of self-reported PROMs for health status (HS) and quality of life (QoL) in the long-term follow-up of children with foregut anomalies. We evaluated data of PROMs for HS and/or QoL among eight-year-olds born with congenital diaphragmatic hernia (CDH), esophageal atresia (EA), or congenital lung malformations (CLM), collected within the infrastructure of a multidisciplinary, longitudinal follow-up program. Clinical outcomes were categorized into different outcome domains, and their relationships with self-reported HS and QoL were assessed through multivariable linear regression analyses. A total of 220 children completed HS and/or QoL self-reports. In children with CDH and EA, lower cognition was significantly associated with lower self-reported HS. Due to the low number of cases, multivariable linear regression analysis was not possible in children with CLM. HS, QoL, and clinical outcomes represent different aspects of a child’s wellbeing and should be measured simultaneously to facilitate a more holistic approach to clinical decision making.

Diabetic foot disease: a systematic literature review of patient-reported outcome measures

2021 ◽  
Author(s):  
Alberto J. Pérez-Panero ◽  
María Ruiz-Muñoz ◽  
Raúl Fernández-Torres ◽  
Cynthia Formosa ◽  
Alfred Gatt ◽  
...  
Keyword(s):  
Literature Review ◽  
Outcome Measures ◽  
Systematic Literature Review ◽  
Diabetic Foot ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Patient Reported ◽  
Diabetic Foot Disease ◽  
Foot Disease

scholarly journals Benefits and Disadvantages of Electronic Patient-reported Outcome Measures: Systematic Review

10.2196/15588 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e15588 ◽  
Author(s):  
Jill Meirte ◽  
Nick Hellemans ◽  
Mieke Anthonissen ◽  
Lenie Denteneer ◽  
Koen Maertens ◽  
...  
Keyword(s):  
Systematic Review ◽  
Data Quality ◽  
Outcome Measures ◽  
Symptom Management ◽  
Completion Time ◽  
Clinical Decision Making ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Health Technologies ◽  
Patient Reported

Background Patient-reported outcome measures (PROMs) are important in clinical practice and research. The growth of electronic health technologies provides unprecedented opportunities to systematically collect information via PROMs. Objective The aim of this study was to provide an objective and comprehensive overview of the benefits, barriers, and disadvantages of the digital collection of qualitative electronic patient-reported outcome measures (ePROMs). Methods We performed a systematic review of articles retrieved from PubMED and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed during all stages. The search strategy yielded a total of 2333 records, from which 32 met the predefined inclusion and exclusion criteria. The relevant ePROM-related information was extracted from each study. Results Results were clustered as benefits and disadvantages. Reported benefits of ePROMs were greater patient preference and acceptability, lower costs, similar or faster completion time, higher data quality and response rates, and facilitated symptom management and patient-clinician communication. Tablets were the most used ePROM modality (14/32, 44%), and, as a platform, Web-based systems were used the most (26/32, 81%). Potential disadvantages of ePROMs include privacy protection, a possible large initial financial investment, and exclusion of certain populations or the “digital divide.” Conclusions In conclusion, ePROMs offer many advantages over paper-based collection of patient-reported outcomes. Overall, ePROMs are preferred over paper-based methods, improve data quality, result in similar or faster completion time, decrease costs, and facilitate clinical decision making and symptom management. Disadvantages regarding ePROMs have been outlined, and suggestions are provided to overcome the barriers. We provide a path forward for researchers and clinicians interested in implementing ePROMs. Trial Registration PROSPERO CRD42018094795; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=94795

Importance of patient reported outcome measures versus clinical outcomes for breast cancer patients evaluation on quality of care

The Breast ◽  
2016 ◽  
Vol 27 ◽  
pp. 62-68 ◽  
Author(s):  
Melissa Kool ◽  
Joost R.M. van der Sijp ◽  
Judith R. Kroep ◽  
Gerrit-Jan Liefers ◽  
Ilse Jannink ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
Cancer Patients ◽  
Clinical Outcomes ◽  
Outcome Measures ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Breast Cancer Patients ◽  
Patient Reported
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