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Boulanger MC, Petrillo LA, Temel JS. Listen to the patient: integrating patient-reported outcomes into clinical care. J Natl Cancer Inst 2023; 115:1451-1453. [PMID: 37740689 DOI: 10.1093/jnci/djad174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/19/2023] [Indexed: 09/25/2023] Open
Affiliation(s)
- Mary C Boulanger
- Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Laura A Petrillo
- Division of Palliative Care, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Jennifer S Temel
- Division of Hematology and Oncology, Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, MA, USA
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Deacon RM, Mills L, Bruno R, Mammen K, Dunlop A, Childs S, Shakeshaft A, Holmes J, Lintzeris N. Identifying thresholds for clinically meaningful change among clients of drug and alcohol services using the Australian Treatment Outcomes Profile. Addiction 2023; 118:2457-2465. [PMID: 37421220 DOI: 10.1111/add.16295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/12/2023] [Indexed: 07/10/2023]
Abstract
AIMS The Austraian Treatment Outcomes Profile (ATOP) is a brief clinical outcomes tool used widely in the Australian alcohol and other drugs treatment sector to monitor clients' substance use, health, wellbeing and clinical risk factors. It has demonstrated reliability and validity, and has recommended clinical cut-offs for assessing single-occasion client-rated health scores. This study determined clinically meaningful change thresholds for ATOP substance use and health and wellbeing variables for use by clinicians in monitoring client progress, and for quality improvement and service evaluation. DESIGN, SETTING AND PARTICIPANTS A framework for assessing clinically meaningful changes scores was developed by (1) calculating statistically reliable change thresholds using data-driven techniques with a reference sample of clinical ATOP data and (2) conducting a multi-disciplinary subject matter expert group to review the utility and validity of data-derived clinically meaningful change. The study was conducted within Outpatient Alcohol and Other Drug treatment services in New South Wales, Australia. The reference sample comprised 6100 ATOPs from clients at entry to public outpatient Alcohol and Other Drug treatment services; the subject matter expert group comprised 29 key stakeholders from the specialist alcohol and other drug treatment sector. MEASUREMENTS AND FINDINGS We used the Reliable Change Index method to calculate clinically meaningful change thresholds for ATOP variables. For substance use variables, a change of 30% in days of use in the last 28 (minimum 4 days) was the threshold for clinically meaningful change for substance use; for health and wellbeing variables, a change of 2 or more points in psychological health, physical health or quality of life scores (measured on 0-10 scales) was the minimum clinically meaningful change. CONCLUSIONS Clinically meaningful change thresholds have been proposed for Australian Treatment Outcomes Profile substance use and health and wellbeing items, based on statistical reliability and subject matter expert assessment. These will be used in the development of an outcomes metric for assessing change and assigning meaning in aggregated data for evaluation of services.
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Affiliation(s)
- Rachel M Deacon
- Sydney School of Medicine (Central Clinical School), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW, Australia
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
| | - Llewellyn Mills
- Sydney School of Medicine (Central Clinical School), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW, Australia
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
| | - Raimondo Bruno
- School of Psychological Sciences, University of Tasmania, Hobart, Tasmania, Australia
- National Drug and Alcohol Research Centre, The University of New South Wales, Sydney, NSW, Australia
| | - Kristie Mammen
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW, Australia
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
| | - Adrian Dunlop
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
- National Drug and Alcohol Research Centre, The University of New South Wales, Sydney, NSW, Australia
- Drug and Alcohol Services, Hunter New England Local Health District, Sydney, NSW, Australia
- Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia
| | - Steven Childs
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
- Drug and Alcohol Services, Central Coast Local Health District, Gosford, NSW, Australia
| | - Anthony Shakeshaft
- National Drug and Alcohol Research Centre, The University of New South Wales, Sydney, NSW, Australia
- Poche Centre for Indigenous Health, The University of Queensland, Brisbane, QLD, Australia
| | - Jennifer Holmes
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Nicholas Lintzeris
- Sydney School of Medicine (Central Clinical School), Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, NSW, Australia
- NSW Drug and Alcohol Clinical Research and Improvement Network (DACRIN), Sydney, NSW, Australia
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Nagase H, Ito R, Ishii M, Shibata H, Suo S, Mukai I, Zhang S, Rothnie KJ, Trennery C, Yuanita L, Ishii T. Relationship Between Asthma Control Status and Health-Related Quality of Life in Japan: A Cross-Sectional Mixed-Methods Study. Adv Ther 2023; 40:4857-4876. [PMID: 37698717 PMCID: PMC10567960 DOI: 10.1007/s12325-023-02660-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/21/2023] [Indexed: 09/13/2023]
Abstract
INTRODUCTION There is limited information regarding multidimensional relationships between asthma control and health-related quality of life (HRQoL), work productivity, and asthma symptom burden in Japan. Furthermore, systematic qualitative investigations about asthma burden have not been performed. METHODS This cross-sectional, mixed-methods study included Japanese patients (≥ 20 years) with asthma adherent to inhaled corticosteroids/long-acting β2-agonists (ICS/LABA). The primary endpoint was impact of asthma on HRQoL, measured using the Asthma Health Questionnaire-33 (AHQ-33). Secondary endpoints were cough burden (Japanese-adapted Leicester Cough Questionnaire [J-LCQ]) and impact of asthma on work/activities (asthma-specific Work Productivity and Activity Impairment Questionnaire [WPAI:Asthma]). Quantitative data were assessed for the overall population and for well-controlled (WC) and not well-controlled (NWC) asthma subgroups. Qualitative verbal interviews further assessed the impact of NWC asthma on patients' HRQoL; emergent themes were extracted using thematic analyses. RESULTS Of 454 patients, 45.2% (n = 205) had NWC asthma. Patients with NWC asthma had significantly worse asthma- and cough-related HRQoL across all AHQ-33 and J-LCQ domains and significantly greater work and activity impairment versus patients with WC asthma, across all assessed WPAI:Asthma domains. AHQ-33 total score was highly correlated with J-LCQ total and domain scores (r = - 0.8132 to r = - 0.7407). Nine themes emerged from qualitative interviews and confirmed that patients with NWC asthma had considerable HRQoL impairment due to asthma symptoms. CONCLUSIONS Patients with NWC asthma had higher symptom burden and worse HRQoL than patients with WC asthma, despite ICS/LABA adherence. Cough burden correlated with HRQoL, suggesting cough may be one of the key markers to inform treatment strategy for patients with asthma.
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Affiliation(s)
- Hiroyuki Nagase
- Division of Respiratory Medicine and Allergology, Department of Medicine, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.
| | - Risako Ito
- Value Evidence and Outcomes, GSK, 1-8-1 Akasaka, Minato-ku, Tokyo, 107-0052, Japan.
| | - Moe Ishii
- Mebix, Inc., Minato-ku, Tokyo, Japan
| | | | | | - Isao Mukai
- Medical Affairs Asthma & COPD, GSK, Minato-ku, Tokyo, Japan
| | - Shiyuan Zhang
- Value Evidence and Outcomes, GSK, Collegeville, PA, USA
| | | | | | - Liza Yuanita
- Medical Affairs Asthma & COPD, GSK, Minato-ku, Tokyo, Japan
| | - Takeo Ishii
- Value Evidence and Outcomes, GSK, 1-8-1 Akasaka, Minato-ku, Tokyo, 107-0052, Japan
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Instenes I, Breivik K, Borregaard B, Larsen AI, Allore H, Bendz B, Deaton C, Rotevatn S, Norekvål TM. Phenotyping Self-Reported Health Profiles in Octogenarians and Nonagenarians After Percutaneous Coronary Intervention: A Latent Profile Analysis. Heart Lung Circ 2023; 32:1321-1333. [PMID: 37925313 DOI: 10.1016/j.hlc.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/11/2023] [Accepted: 09/01/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Little is known about self-reported health in octogenarians (≥80 years) and nonagenarians (≥90 years) following percutaneous coronary intervention (PCI), including characteristics of different health outcomes. This study aimed to phenotype latent health profiles of self-reported health in older adults 2 months post-PCI. METHODS A prospective, multicentre, real-world study (CONCARDPCI) of 270 octogenarians and nonagenarians was performed with five validated and standardised measures of self-reported health at 2 months post-PCI. Latent profile analysis was used to identify health profiles, and multinomial logistic regression analyses were used to investigate the associations between patient characteristics and health profiles. RESULTS Three latent health profiles were identified: The Poor health profile included 29%, the Moderate health profile included 39%, and the Good health profile included 32% of the participants. Older adults who were frail (OR 2.50, 95% CI 1.17-5.33), had a low exercise level (OR 0.49, 95% CI 0.39-0.95), and low alcohol intake (OR 0.61, 95% CI 0.39-0.95) were more likely to belong to the Poor health profile relative to the Good health profile. Furthermore, older age (OR 1.19, 95% CI 1.03-1.37) and lower exercise level (OR 0.64, 95% CI 0.43-0.97) were associated with belonging to the Moderate health profile relative to the Good health profile. CONCLUSION Two months after PCI, most participants displayed having Moderate to Good health profiles. Those with a Poor health profile were more likely to be frail and less active. These findings highlight that follow-up care has to be patient-centred and tailored to improve the health status of older adults.
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Affiliation(s)
- Irene Instenes
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kyrre Breivik
- Regional Centre for Child and Youth Mental Health and Child Welfare-West, Bergen, Norway
| | - Britt Borregaard
- Department of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Alf Inge Larsen
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Cardiology, Stavanger University Hospital, Stavanger, Norway
| | - Heather Allore
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, Yale University, Yale School of Public Health, New Haven, CT, USA
| | - Bjørn Bendz
- Department of Cardiology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christi Deaton
- Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Svein Rotevatn
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Tone Merete Norekvål
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway.
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Jayakumar P, Heng M, Okelana B, Vrahas M, Rodriguez-Villalon A, Joeris A. Patient-Reported Outcome Measurement in Orthopaedic Trauma. J Am Acad Orthop Surg 2023; 31:e906-e919. [PMID: 37796280 DOI: 10.5435/jaaos-d-23-00375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 10/06/2023] Open
Abstract
Patient-reported outcome (PRO) measurements are validated tools developed to quantify self-reported aspects of capability, mindset, and circumstances in a standardized fashion. While PRO measurements have primarily been used in the research realm, a growing body of work now underscores substantial opportunities in applying the data generated by these tools to advance patient-centered musculoskeletal care. Specifically, the insights into a patient's health status derived from these measures can augment the standard biomedical approach to the management of patients with orthopaedic trauma. For instance, PRO measures have demonstrated the high prevalence of psychological distress and social concerns within trauma populations and shown that mindsets and circumstances account for a substantial amount of the variation in levels of symptom intensity and capability in these patients. Such findings support the need for a more integrated, biopsychosocial, and multidisciplinary team-based approach to orthopaedic trauma care that include both technical and nontechnical skillsets. In this chapter, we explore the range of available fixed-scale and computer adaptive PRO measures that can quantify aspects of capability, mindsets, and circumstances of the patient with orthopaedic trauma during their experience of injury, recovery, and rehabilitation. Furthermore, we define human, technical, and system-level challenges within the often complex, dynamic, and clinically intense trauma setting. Finally, we highlight potential opportunities through successfully implementing PRO measurements for clinical decision support, shared decision making, predicting health outcomes, and developing advanced care pathways for patients and populations with orthopaedic trauma.
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Affiliation(s)
- Prakash Jayakumar
- From the AO Innovation Translation Center, Clinical Science, AO Foundation, Dübendorf, Switzerland (Jayakumar, Rodriguez-Villalon, and Joeris), the University of Miami Health System Miller School of Medicine, Miami, FL (Heng), The Department of Surgery and Perioperative Care, University of Texas at Austin, Austin, TX (Dr. Okelana), Department of Orthopedics, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Vrahas), and Advancing Outcomes and Building Expertise in Research for Trauma Consortium
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Atreya S, Salins N. End-of-Life Care Education as Blended Learning Approach for General Practitioners: a Scoping Review. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2023; 38:1440-1458. [PMID: 37648949 PMCID: PMC10509089 DOI: 10.1007/s13187-023-02358-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/16/2023] [Indexed: 09/01/2023]
Abstract
General practitioners (GPs) are critical in providing primary palliative care in the community. Apprehensions about managing a dying person at home, difficulties in goals of care discussion, limited resources and lack of palliative care education often hinder end-of-life care provision in the community. This review focused on the end-of-life care training programs accessed by GPs and sought to understand if the training programs' content and mode of delivery aligned with their preferred needs. MEDLINE, EMBASE, CINAHL, and PsycINFO were searched to identify articles published in English between 01 January 1990 and 30 September 2022. Additionally, searches were conducted using SCOPUS, the Web of Science, and the Cochrane database using free texts. The reviewers screened the titles, abstracts, and full text to identify eligible studies and extracted textual data to analyse and generate themes. Out of 5532 citations initially accessed, 17 studies were included in the review. Six themes were generated: knowledge translation, skill development, a change in attitude, self-efficacy, satisfaction, and patient outcomes. The GPs' end-of-life care knowledge, skills, attitude, self-efficacy, and patient outcomes were better when their training had a combination of small-group interactive workshops, trigger case-based reflective learning, mentor-facilitated experiential learning, web-based modules, and peer learning. The synthesis of review findings supports blended learning as a training approach for general the practitioners' end-of-life care education as it facilitates learning and patient outcomes.
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Affiliation(s)
- Shrikant Atreya
- Department of Palliative Care and Psycho-Oncology, Tata Medical Center, Kolkata, West Bengal, 700160, India
| | - Naveen Salins
- Department of Palliative Medicine and Supportive Care, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Spencer KL, Absolom KL, Allsop MJ, Relton SD, Pearce J, Liao K, Naseer S, Salako O, Howdon D, Hewison J, Velikova G, Faivre-Finn C, Bekker HL, van der Veer SN. Fixing the Leaky Pipe: How to Improve the Uptake of Patient-Reported Outcomes-Based Prognostic and Predictive Models in Cancer Clinical Practice. JCO Clin Cancer Inform 2023; 7:e2300070. [PMID: 37976441 PMCID: PMC10681558 DOI: 10.1200/cci.23.00070] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 09/08/2023] [Accepted: 09/29/2023] [Indexed: 11/19/2023] Open
Abstract
PURPOSE This discussion paper outlines challenges and proposes solutions for successfully implementing prediction models that incorporate patient-reported outcomes (PROs) in cancer practice. METHODS We organized a full-day multidisciplinary meeting of people with expertise in cancer care delivery, PRO collection, PRO use in prediction modeling, computing, implementation, and decision science. The discussions presented here focused on identifying challenges to the development, implementation and use of prediction models incorporating PROs, and suggesting possible solutions. RESULTS Specific challenges and solutions were identified across three broad areas. (1) Understanding decision making and implementation: necessitating multidisciplinary collaboration in the early stages and throughout; early stakeholder engagement to define the decision problem and ensure acceptability of PROs in prediction; understanding patient/clinician interpretation of PRO predictions and uncertainty to optimize prediction impact; striving for model integration into existing electronic health records; and early regulatory alignment. (2) Recognizing the limitations to PRO collection and their impact on prediction: incorporating validated, clinically important PROs to maximize model generalizability and clinical engagement; and minimizing missing PRO data (resulting from both structural digital exclusion and time-varying factors) to avoid exacerbating existing inequalities. (3) Statistical and modeling challenges: incorporating statistical methods to address missing data; ensuring predictive modeling recognizes complex causal relationships; and considering temporal and geographic recalibration so that model predictions reflect the relevant population. CONCLUSION Developing and implementing PRO-based prediction models in cancer care requires extensive multidisciplinary working from the earliest stages, recognition of implementation challenges because of PRO collection and model presentation, and robust statistical methods to manage missing data, causality, and calibration. Prediction models incorporating PROs should be viewed as complex interventions, with their development and impact assessment carried out to reflect this.
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Affiliation(s)
- Katie L. Spencer
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Kate L. Absolom
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Matthew J. Allsop
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Samuel D. Relton
- Leeds Institute of Data Analytics, University of Leeds, Leeds, United Kingdom
| | - Jessica Pearce
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
- Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
| | - Kuan Liao
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Centre for Health Informatics, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
| | - Sairah Naseer
- School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Omolola Salako
- College of Medicine, University of Lagos, Lagos, Nigeria
| | - Daniel Howdon
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Jenny Hewison
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Galina Velikova
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
- Leeds Institute of Medical Research, University of Leeds, Leeds, United Kingdom
| | - Corinne Faivre-Finn
- Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Hilary L. Bekker
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Sabine N. van der Veer
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Centre for Health Informatics, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
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Garcia BN, Tyser A, Roca H, Kazmers NH. Patient-Reported Outcome Measurement and Minimal Clinically Important Difference for Hand Surgeons. J Am Acad Orthop Surg 2023; 31:756-765. [PMID: 37418325 DOI: 10.5435/jaaos-d-23-00318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/05/2023] [Indexed: 07/09/2023] Open
Abstract
Patient-reported outcome measurement (PROM) tools are used to evaluate health status and response to treatment and have been integral in the effort to improve the quality of care provided. Patient reported outcomes (PROs) have garnered additional attention since becoming a priority of the National Institutes of Health in the early part of this century, and their use in both clinical practice and research has subsequently increased. In the upper extremity, a variety of PRO instruments exist that can assist physicians in their ability to track and/or prognosticate outcomes, make comparisons between treatments as well as strengthen research methodologies, and help determine the value of care. A more complete interpretation of the clinical significance of patient-reported outcome measurements is informed by parameters such as minimal clinically important difference, substantial clinical benefit and patient acceptable symptom state.
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Affiliation(s)
- Brittany N Garcia
- From the Department of Orthopaedics, University of Utah, Salt Lake City, UT
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Mokanyk AR, Taylor CL, De la Garza Ramos R, Tadepalli S, Girasulo SA, Rossi MCS, O'Donnell BA, Bauman JA, Sekhar R, Abbed KM, Matmati N, Yanamadala V. System-wide integration of patient reported outcome measure collection through an electronic medical record system: A state-wide retrospective study. J Clin Neurosci 2023; 114:137-143. [PMID: 37392561 DOI: 10.1016/j.jocn.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/09/2023] [Accepted: 06/11/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND AND PURPOSE In spine neurosurgery practice, patient-reported outcome measures (PROMs) are tools used to convey information about a patient's health experience and are an integral component of a clinician's decision-making process as they help guide treatment strategies to improve outcomes and minimize pain. Currently, there is limited research showing effective integration strategies of PROMs into electronic medical records. This study aims to provide a framework for other healthcare systems by outlining the process from start to finish in seven Hartford Healthcare Neurosurgery outpatient spine clinics throughout the state of Connecticut. METHODS On March 1, 2021, a pilot implementation program began in one clinic and on July 1, 2021, all outpatient clinics were implementing the revised clinical workflow that included the electronic collection of PROMs within the electronic health record (EHR). A retrospective chart analysis studied all adult (18+) new patient visits in seven outpatient clinics by comparing the rates of PROMs collection in Half 1 (March 1, 2021-August 31, 2022) and in Half 2 (September 1, 2022-February 28, 2022) across all sites. Additionally, patient characteristics were studied to identify any variables that may lead to higher rates of collection. RESULTS During the study period, 3528 new patient visits were analyzed. There was a significant change in rates of PROMs collection across all departments between H1 and H2 (p < 0.05). Additional significant predictors for PROMs collection were the sex and ethnicity of the patient as well as the provider type for the visit (p < 0.05). CONCLUSIONS This study proved that implementing the electronic collection of PROMs into an already existing clinical workflow reduces previously identified collection barriers and enables PROMs collection rates that meet or exceed current benchmarks. Our results provide a successful step-by-step framework for other spine neurosurgery clinics to implement a similar approach.
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Affiliation(s)
- Abigail R Mokanyk
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA
| | - Christopher L Taylor
- Frank H. Netter MD School of Medicine, 370 Bassett Rd, North Haven, CT 06473, USA
| | - Rafael De la Garza Ramos
- Department of Neurosurgery, Montefiore Medical Center, Albert Einstein College of Medicine in New York City, USA
| | - Swetha Tadepalli
- University of Connecticut, College of Liberal Art and Sciences, Storrs, CT 06269, USA
| | - Samantha A Girasulo
- University of Connecticut, College of Liberal Art and Sciences, Storrs, CT 06269, USA
| | - Maria C S Rossi
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA
| | - Brooke A O'Donnell
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA
| | - Joel A Bauman
- Department of Neurosurgery, Hartford HealthCare Medical Group, Hartford, CT 06106, USA
| | - Rajat Sekhar
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA; Frank H. Netter MD School of Medicine, 370 Bassett Rd, North Haven, CT 06473, USA
| | - Khalid M Abbed
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA; Frank H. Netter MD School of Medicine, 370 Bassett Rd, North Haven, CT 06473, USA
| | - Nabil Matmati
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA; Frank H. Netter MD School of Medicine, 370 Bassett Rd, North Haven, CT 06473, USA.
| | - Vijay Yanamadala
- Department of Neurosurgery, Hartford HealthCare Medical Group, St. Vincent's Medical Center, Bridgeport, CT 06606, USA; Frank H. Netter MD School of Medicine, 370 Bassett Rd, North Haven, CT 06473, USA
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McMullan C, Hughes SE, Aiyegbusi OL, Calvert M. Usability testing of an electronic patient-reported outcome system linked to an electronic chemotherapy prescribing and patient management system for patients with cancer. Heliyon 2023; 9:e16453. [PMID: 37260889 PMCID: PMC10227339 DOI: 10.1016/j.heliyon.2023.e16453] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/02/2023] Open
Abstract
Background People affected by cancer experience a wide range of symptoms which have a major impact on their functioning and health-related quality of life (HRQoL). One way to measure the impact of cancer symptoms is through the use of patient-reported outcomes. Methods An electronic patient-reported outcome (ePRO) application (ChemoPRO®) was designed to be used by cancer patients to report their symptoms and communicate with their clinical team. Usability testing sessions were conducted with people with lived experience of cancer to understand how real users interact with the ChemoPRO® system. One-to-one testing sessions were conducted to assess use of the system and identify areas for further refinement. User satisfaction was assessed using a brief satisfaction questionnaire previously used by Aiyegbusi et al. (date). Results Ten people with lived experience of cancer took part in the usability study. Symptoms and HRQoL measures, including the Euroqol EQ5D5L and the PRO-CTCAE™ were included in the ePRO system. Participants had a mean age of 62.3 years. Three critical errors and 21 non-critical errors were reported. All participants were enthusiastic about the app. Participants liked the simplicity and responsiveness of the patient-facing app and highlighted the potential for communicating with their clinical team. The overall usability and satisfaction score was 4.5 (sd = 0.09). Conclusion This usability study suggests that people with lived experience of cancer found the ChemoPRO® app acceptable and easy to use. One of the key features of this particular ePRO system that should be developed further is system functionality to facilitate communication between patients and clinicians. Future testing should include testing in a clinical setting and testing with people from ethnic minorities.
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Affiliation(s)
- Christel McMullan
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham-Oxford Blood and Transplant Research Unit (BTRU) in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK
| | - Sarah E. Hughes
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham-Oxford Blood and Transplant Research Unit (BTRU) in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research (NIHR) Applied Research Collaboration West Midlands, Birmingham, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
| | - Olalekan Lee Aiyegbusi
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham-Oxford Blood and Transplant Research Unit (BTRU) in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research (NIHR) Applied Research Collaboration West Midlands, Birmingham, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
| | - Melanie Calvert
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- NIHR Birmingham-Oxford Blood and Transplant Research Unit (BTRU) in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research (NIHR) Applied Research Collaboration West Midlands, Birmingham, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
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61
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Brady KJS, Peipert JD, Atkinson TM, Pompili C, Pinto M, Shaw JW, Roydhouse J. International Society for Quality of Life Research commentary on the US Food and Drug Administration draft guidance for industry on core patient-reported outcomes in cancer clinical trials. Qual Life Res 2023:10.1007/s11136-023-03396-z. [PMID: 37217665 PMCID: PMC10202747 DOI: 10.1007/s11136-023-03396-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/08/2023] [Indexed: 05/24/2023]
Abstract
In June 2021, the US Food and Drug Administration (FDA) released a draft guidance for industry on core patient-reported outcomes (PROs) and related considerations for instrument selection and trial design in registrational cancer clinical trials, building on prior communications about the use of PROs to assess efficacy and tolerability in oncology drug development. The International Society for Quality of Life Research (ISOQOL) Standards and Best Practices Committee led an initiative to draft a commentary about the guidance, focusing on its positive aspects and areas that would benefit from additional clarification and consideration. For comprehensiveness, the authors reviewed existing public comments on the draft guidance, and the commentary underwent a thorough review process through three ISOQOL Special Interest Groups (Psychometrics, Clinical Practice, and Regulatory and Health Technology Assessment Engagement) followed by the ISOQOL Board. The goal of this commentary is to situate this new and relevant guidance document within the context of recent regulatory efforts on PROs and highlight areas in which further work may ultimately benefit the field.
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Affiliation(s)
| | - John Devin Peipert
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Cecilia Pompili
- Patient-Centred Outcomes Research (PCOR), University of Leeds, Leeds, UK
| | - Monica Pinto
- Rehabilitation Medicine Unit, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Naples, Italy
| | | | - Jessica Roydhouse
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
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Ge C, Guo K, Li Y, Li G, Zhang H, Yang J, Liu Y, Yin C, Liu S, Xie S, Chen X. Analysis of patient-reported outcomes in the approval of novel oncology drugs in the United States, 2017-2022. EClinicalMedicine 2023; 59:101953. [PMID: 37089618 PMCID: PMC10113764 DOI: 10.1016/j.eclinm.2023.101953] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/25/2023] Open
Abstract
Background With the growing notion of patient-focused drug development, the quality of life and other patient-reported outcomes (PROs) of cancer patients are gaining considerable attention. Several drug regulatory agencies, including the U.S. Food and Drug Administration (FDA), are calling attention to PROs. This review aims to comprehensively characterise the application of PROs and regulatory considerations for PROs in the FDA-approved novel oncology drugs. Methods The FDA review documents and labels for novel oncology drugs approved from July 2017 to July 2022 were retrieved. We collected and analysed drug approval information, types of endpoints for PROs, PRO measures, designs of trials including PROs, and regulatory comments on PRO-related contents. Findings Results demonstrated that PROs were used more commonly for solid tumours than hematologic malignancies, which might be correlated with the disease characteristics. We further categorised and analysed existing PRO measures, providing insight for tool selection in future oncology trial design. Our findings also indicated that PROs currently do not play a significant role in oncology drug approvals. The major deficiencies related to PROs commented on by FDA reviewers were analysed, followed by recommendations for improvements. Interpretation This review demonstrates that PROs currently do not play a significant role in oncology drug marketing review, and how they can be used to support the approval of new oncology drugs is still in the exploratory stage. This current situation is not only related to the deficiencies in the design and implementation of PRO-related contents in oncology trials, but more importantly, it is a reminder that we should pay more attention to patient experience in the development of oncology drugs. Funding This study was not supported by any funding.
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Affiliation(s)
- Chenghao Ge
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Kaiyuan Guo
- School of Medicine, Tsinghua University, Beijing, China
| | - Yi Li
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Guanqiao Li
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Hong Zhang
- Center for Drug Evaluation, National Medical Products Administration, Beijing, China
| | - Jiaxuan Yang
- School of Medicine, Tsinghua University, Beijing, China
| | - Yang Liu
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Chen Yin
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Sen Liu
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
| | - Songmei Xie
- Center for Drug Evaluation, National Medical Products Administration, Beijing, China
- Corresponding author.
| | - Xiaoyuan Chen
- Tsinghua Clinical Research Institute, School of Medicine, Tsinghua University, Beijing, China
- Office of Clinical Trial Institute, Beijing Tsinghua Changgung Hospital, Beijing, China
- Corresponding author. Tsinghua Clinical Research Institute, Tsinghua University, Beijing, China.
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63
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Coles T. Supporting Clinical Decision-Making in Emergency Departments With Patient-Reported Outcome Measures. JACC. ADVANCES 2023; 2:100339. [PMID: 38939590 PMCID: PMC11198564 DOI: 10.1016/j.jacadv.2023.100339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Affiliation(s)
- Theresa Coles
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
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64
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Sutton SR, Taniguchi AN, Nguyen SA, Albergotti WG, Kaczmar JM, Kejner AE, Newman JG. The Inconsistent Assessment of Quality of Life in Patients Treated for Head and Neck Cancer with Anti-EGFR Inhibitors: A Systematic Scoping Review. Cancers (Basel) 2023; 15:2475. [PMID: 37173942 PMCID: PMC10177329 DOI: 10.3390/cancers15092475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 04/21/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
In patients receiving treatment for head and neck cancer (HNC), there is a correlation between quality of life (QoL) scores and treatment outcomes. Higher QoL scores have been associated with improved survival. Despite this, the assessment of QoL in clinical trials varies considerably. Three databases (Scopus, PubMed, and Cinahl) were queried for articles published in English between 2006 and 2022. Two reviewers (SRS and ANT) performed study screening, data extraction, and risk of bias assessment. The authors identified 21 articles that met the inclusion criteria. A total of 5961 patients were evaluated. QoL was reported as average scores for specific variables across five different surveys in 12 included articles. Supplemental QoL data were available in 10 included studies. Critical appraisal of studies indicated a high risk of bias due to the inclusion of trials. There is no standard method for reporting QoL data in clinical trials for HNC patients undergoing treatment with anti-EGFR inhibitors. Future clinical trials should standardize their method for assessing and reporting quality-of-life data to increase patient-centered care and refine treatment choices to optimize survival.
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Affiliation(s)
- Sarah R. Sutton
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
- School of Medicine, University of Nevada, Reno, NV 89557, USA
| | - April N. Taniguchi
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Shaun A. Nguyen
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - William G. Albergotti
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - John M. Kaczmar
- Division of Hematology and Oncology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Alexandra E. Kejner
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Jason G. Newman
- Department of Otolaryngology—Head and Neck Surgery, Medical University of South Carolina, Charleston, SC 29425, USA
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65
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Kawashima A, Evans CJ. Needs-based triggers for timely referral to palliative care for older adults severely affected by noncancer conditions: a systematic review and narrative synthesis. BMC Palliat Care 2023; 22:20. [PMID: 36890522 PMCID: PMC9996955 DOI: 10.1186/s12904-023-01131-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 02/01/2023] [Indexed: 03/10/2023] Open
Abstract
BACKGROUND Older people with noncancer conditions are less likely to be referred to palliative care services due to the inherent uncertain disease trajectory and a lack of standardised referral criteria. For older adults with noncancer conditions where prognostic estimation is unpredictable, needs-based criteria are likely more suitable. Eligibility criteria for participation in clinical trials on palliative care could inform a needs-based criteria. This review aimed to identify and synthesise eligibility criteria for trials in palliative care to construct a needs-based set of triggers for timely referral to palliative care for older adults severely affected by noncancer conditions. METHODS A systematic narrative review of published trials of palliative care service level interventions for older adults with noncancer conditions. Electronic databases Medline, Embase, CINAHL, PsycINFO, CENTRAL, and ClinicalTrials.gov. were searched from inception to June 2022. We included all types of randomised controlled trials. We selected trials that reported eligibility criteria for palliative care involvement for older adults with noncancer conditions, where > 50% of the population was aged ≥ 65 years. The methodological quality of the included studies was assessed using a revised Cochrane risk-of-bias tool for randomized trials. Descriptive analysis and narrative synthesis provided descriptions of the patterns and appraised the applicability of included trial eligibility criteria to identify patients likely to benefit from receiving palliative care. RESULTS 27 randomised controlled trials met eligibility out of 9,584 papers. We identified six major domains of trial eligibility criteria in three categories, needs-based, time-based and medical history-based criteria. Needs-based criteria were composed of symptoms, functional status, and quality of life criteria. The major trial eligibility criteria were diagnostic criteria (n = 26, 96%), followed by medical history-based criteria (n = 15, 56%), and physical and psychological symptom criteria (n = 14, 52%). CONCLUSION For older adults severely affected by noncancer conditions, decisions about providing palliative care should be based on the present needs related to symptoms, functional status, and quality of life. Further research is needed to examine how the needs-based triggers can be operationalized as referral criteria in clinical settings and develop international consensus on referral criteria for older adults with noncancer conditions.
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Affiliation(s)
- Arisa Kawashima
- Department of Nursing for Advanced Practice, Division of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.,King's College London, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Faculty of Nursing, Midwifery and Palliative Care, London, UK
| | - Catherine J Evans
- King's College London, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Faculty of Nursing, Midwifery and Palliative Care, London, UK. .,Sussex Community NHS Foundation Trust, Brighton, UK.
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Cruz Rivera S, Liu X, Hughes SE, Dunster H, Manna E, Denniston AK, Calvert MJ. Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies. Lancet Digit Health 2023; 5:e168-e173. [PMID: 36828609 DOI: 10.1016/s2589-7500(22)00252-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 11/01/2022] [Accepted: 12/07/2022] [Indexed: 02/24/2023]
Abstract
Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outcomes, reflecting a more holistic picture of health and wellbeing and ultimately helping patients and clinicians to make the best health-care decisions together. By positioning patient-reported outcomes (PROs) as a model input or output we propose a framework to embed PROMs within the function and evaluation of AI health care. However, the integration of PROs in AI systems presents several challenges. These challenges include (1) fragmentation of PRO data collection; (2) validation of AI systems trained and validated against clinician performance, rather than outcome data; (3) scarcity of large-scale PRO datasets; (4) inadequate selection of PROMs for the target population and inadequate infrastructure for collecting PROs; and (5) clinicians might not recognise the value of PROs and therefore not prioritise their adoption; and (6) studies involving PRO or AI frequently present suboptimal design. Notwithstanding these challenges, we propose considerations for the inclusion of PROs in AI health-care technologies to avoid promoting survival at the expense of wellbeing.
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Affiliation(s)
- Samantha Cruz Rivera
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK; Data-Enabled Medical Technologies and Devices Hub, University of Birmingham, Birmingham, UK.
| | - Xiaoxuan Liu
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Sarah E Hughes
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK; National Institute of Health Research Applied Research Collaborative West Midlands, Birmingham, UK
| | - Helen Dunster
- University of Birmingham Enterprise, University of Birmingham, Birmingham, UK
| | - Elaine Manna
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Alastair K Denniston
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK; Data-Enabled Medical Technologies and Devices Hub, University of Birmingham, Birmingham, UK; Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK; Health Data Research UK, London, UK; National Institute for Health and Care Research Biomedical Research Centre for Ophthalmology, Moorfields Hospital London NHS Foundation Trust and Institute of Ophthalmology, University College London, London, UK; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Melanie J Calvert
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK; Data-Enabled Medical Technologies and Devices Hub, University of Birmingham, Birmingham, UK; National Institute for Health and Care Research Applied Research Collaboration West Midlands, University of Birmingham, Birmingham, UK; Health Data Research UK, London, UK; National Institute for Health and Care Research Biomedical Research Centre for Ophthalmology, Moorfields Hospital London NHS Foundation Trust and Institute of Ophthalmology, University College London, London, UK; National Institute for Health and Care Research Birmingham-Oxford Blood and Transplant Research Unit in Precision Transplant and Cellular Theraputics, Birmingham, UK; National Institute for Health and Care Research Birmingham Biomedical Research Centre, Birmingham, UK; National Institute for Health and Care Research Surgical Reconstruction and Microbiology Centre, Birmingham, UK
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