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Reducing the pressures of outpatient care: the potential role of patient-reported outcomes.
Aiyegbusi, Olalekan Lee; Hughes, Sarah E; Peipert, John Devin; Schougaard, Liv Marit Valen; Wilson, Roger; Calvert, Melanie J.
  • Aiyegbusi OL; Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
  • Hughes SE; National Institute for Health Research (NIHR) Applied Research Collaboration West Midlands, Birmingham, B15 2TT, UK.
  • Peipert JD; NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, B15 2TT, UK.
  • Schougaard LMV; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, B15 2TT, UK.
  • Wilson R; NIHR Oxford-Birmingham Blood and Transplant Research Unit (BTRU) in Precision Therapeutics, University of Birmingham, Birmingham, B15 2TT, UK.
  • Calvert MJ; Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK.
J R Soc Med ; 116(2): 44-64, 2023 02.
Article in English | MEDLINE | ID: covidwho-2227166
ABSTRACT
The global demand for hospital treatment exceeds capacity.The COVID-19 pandemic has exacerbated this issue, leading to increased backlogs and longer wait times for patients. The amount of outpatient attendances undertaken in many settings is still below pre-pandemic levels and this, combined with delayed referrals, means that patients are facing delays in treatment and poorer health outcomes. Use of digital health technologies, notably the use of remote symptom monitoring systems based on patient-reported outcomes (PROs), may offer a solution to reduce outpatient waiting lists and tailor care to those in greatest need. Drawing on international examples, the authors explore the use of electronic PRO systems to triage clinical care. We summarise the key benefits of the approach and also highlight the challenges for implementation, which need to be addressed to promote equitable healthcare delivery.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J R Soc Med Year: 2023 Document Type: Article Affiliation country: 01410768231152222

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J R Soc Med Year: 2023 Document Type: Article Affiliation country: 01410768231152222