Aims: COVID-19 has compounded a growing waiting list problem, with over 4.5 million patients now waiting for planned elective care in the UK. Views of patients on waiting lists are rarely considered in prioritization. Our primary aim was to understand how to support patients on waiting lists by hearing their experiences, concerns, and expectations. The secondary aim was to capture objective change in disability and coping mechanisms.
Methods: A minimum representative sample of 824 patients was required for quantitative analysis to provide a 3% margin of error. Sampling was stratified by body region (upper/lower limb, spine) and duration on the waiting list. Questionnaires were sent to a random sample of elective orthopaedic waiting list patients with their planned intervention paused due to COVID-19. Analyzed parameters included baseline health, change in physical/mental health status, challenges and coping strategies, preferences/concerns regarding treatment, and objective quality of life (EuroQol five-dimension questionnaire (EQ-5D), Generalized Anxiety Disorder 2-item scale (GAD-2)). Qualitative analysis was performed via the Normalization Process Theory.
Results: A total of 888 patients responded. Better health, pain, and mood scores were reported by upper limb patients. The longest waiters reported better health but poorer mood and anxiety scores. Overall, 82% had tried self-help measures to ease symptoms; 94% wished to proceed with their intervention; and 21% were prepared to tolerate deferral. Qualitative analysis highlighted the overall patient mood to be represented by the terms 'understandable', 'frustrated', 'pain', 'disappointed', and 'not happy/depressed'. COVID-19-mandated health and safety measures and technology solutions were felt to be implemented well. However, patients struggled with access to doctors and pain management, quality of life (physical and psychosocial) deterioration, and delay updates.
Conclusion: This is the largest study to hear the views of this 'hidden' cohort. Our findings are widely relevant to ensure provision of better ongoing support and communication, mostly within the constraints of current resources. In response, we developed a reproducible local action plan to address highlighted issues. Cite this article: 2021;2(8):573-583.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384445 | PMC |
http://dx.doi.org/10.1302/2633-1462.28.BJO-2021-0056.R1 | DOI Listing |
Aliment Pharmacol Ther
January 2025
Department of Gastroenterology, East and North Hertfordshire NHS Trust, Hertfordshire, UK.
Background: Acid reflux is a common presentation in primary care leading to a high volume of referrals to endoscopy that are often normal.
Aims: To determine whether a non-endoscopic capsule sponge biomarker test could triage patients with low-risk reflux symptoms, reduce endoscopy waiting lists and identify Barrett's oesophagus in a real-world setting.
Methods: Patients with reflux symptoms on NHS endoscopy waiting lists who were offered a capsule sponge (test group) between February 2021 and August 2022 were included in this national multicentre prospective cohort study and compared with eligible patients on the standard endoscopy pathway (counterfactual group).
Prim Health Care Res Dev
January 2025
Norwich Medical School, University of East Anglia, Norwich, UK.
Aim: We describe activity, outcomes, and benefits after streaming low urgency attenders to eneral practice services at oor of ccident and mergency departments (GDAE).
Background: Many attendances to A&Es are for non-urgent health problems that could be better met by primary care rather than urgent care clinicians. It is valuable to monitor service activity, outcomes, service user demographics, and potential benefits when primary care is co-located with A&E departments.
J Eval Clin Pract
February 2025
Department of Orthopaedics and Trauma, Gold Coast Hospital and Health Service, Southport, Queensland, Australia.
Rationale: Hospitals are increasingly utilising allied-health professionals to provide clinical triage to patients. While these positions are routinely implemented, and several observational studies have reported positive outcomes, the effectiveness of this intervention has been rarely tested in a clinical trial.
Aims And Objectives: The objectives of this study were to (i) evaluate a podiatry-led orthopaedic triage service using patient-reported outcome measures (PROMs), and (ii) determine if it is cost-effective in terms of incremental cost/quality-adjusted life years (QALYs).
Pediatr Transplant
February 2025
Department of Surgery, NYU Grossman School of Medicine, New York, New York, USA.
Purpose: In October 2018, the OPTN changed adult heart transplant (HT) allocation policy, increasing the number of adult candidates that had higher priority than pediatric candidates, potentially disadvantaging pediatric waitlist registrants.
Methods: To understand the impact of this policy change, we used SRTR data to identify 1469 pre-policy (7/2016-9/2018) and 2901 (10/2018-12/2022) post-policy pediatric (< 18 years) HT registrants. We quantified mortality and transplant risks using weighted cause-specific hazard models, and then using weighted competing risks regression.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Surgery, University Medical Center HCMC, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 72714, Vietnam.
Purpose Of Review: This narrative review evaluates the limitations of current heart transplantation allocation models, which prioritize medical urgency and waitlist time but fail to adequately predict long-term post-transplant outcomes. It aims to identify advanced metrics that can strengthen the prioritization framework while addressing persistent racial, geographic, and socioeconomic inequities in access to transplantation.
Recent Findings: Recent research indicates that incorporating frailty, nutritional status, immunological compatibility, and pulmonary hemodynamics into allocation frameworks can enhance the prediction of transplant outcomes.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!