Background: Although missed appointments in healthcare have been an area of concern for policy, practice and research, the primary focus has been on reducing single 'situational' missed appointments to the benefit of services. Little attention has been paid to the causes and consequences of more 'enduring' multiple missed appointments in primary care and the role this has in producing health inequalities.
Methods: We conducted a realist review of the literature on multiple missed appointments to identify the causes of 'missingness.' We searched multiple databases, carried out iterative citation-tracking on key papers on the topic of missed appointments and identified papers through searches of grey literature. We synthesised evidence from 197 papers, drawing on the theoretical frameworks of candidacy and fundamental causation.
Results: Missingness is caused by an overlapping set of complex factors, including patients not identifying a need for an appointment or feeling it is 'for them'; appointments as sites of poor communication, power imbalance and relational threat; patients being exposed to competing demands, priorities and urgencies; issues of travel and mobility; and an absence of choice or flexibility in when, where and with whom appointments take place.
Conclusions: Interventions to address missingness at policy and practice levels should be theoretically informed, tailored to patients experiencing missingness and their identified needs and barriers; be cognisant of causal domains at multiple levels and address as many as practical; and be designed to increase safety for those seeking care.
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http://dx.doi.org/10.1186/s12916-024-03456-2 | DOI Listing |
BMJ Open Ophthalmol
January 2025
Population Health Research Institute, City St George's, University of London, London, UK
Background/aims: To examine the association between sociodemographic characteristics and attendance at Hospital Eye Service (HES) referrals from the Diabetic Eye Screening Programme (DESP), in a large, ethnically diverse urban population.
Methods: Retrospective cohort study (4 January 2016-12 August 2019) of people with diabetic retinopathy (DR) referred from an English DESP to a tertiary referral eye hospital. We conducted a multivariable logistic regression with attendance as the primary outcome, controlling for age, sex, ethnicity, Index of Multiple Deprivation, best eye visual acuity and baseline DR grade.
Ocul Immunol Inflamm
January 2025
Division of Ocular Immunology, Wilmer Eye Institute, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Purpose: To assess the patient barriers to adherence with appointment follow-up in patients with ocular inflammatory disorders across the United States.
Methods: This was a multicenter study of adult and pediatric patients at the Wilmer Eye Institute, University of Texas at Austin, University of Wisconsin-Madison, University of Minnesota, Minneapolis Veterans Administration Hospital, and Washington University of St. Louis.
BJU Int
January 2025
Department of Urology, Austin Health, Heidelberg, Victoria, Australia.
Objectives: To summarise the impact of the coronavirus disease 2019 (COVID-19) pandemic on urological practice globally with a focus on Australian initiatives, as the pandemic resulted in radical changes in healthcare infrastructure and policies.
Methods: We conducted a literature review of the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica dataBASE (EMBASE) and Web of Science medical databases. The key terms used to conduct our search algorithm comprised of 'COVID', 'wait list or wait time or delay', 'urology', 'surgery' and 'outcomes', and generated 231 articles.
JMIR Cancer
January 2025
MedStar Health Research Institute, 3007 Tilden St, Washington, DC, 20008, United States, 1 202-244-9807.
Background: Patients with cancer frequently encounter complex treatment pathways, often characterized by challenges with coordinating and scheduling appointments at various specialty services and locations. Identifying patients who might benefit from scheduling and social support from community health workers or patient navigators is largely determined on a case-by-case basis and is resource intensive.
Objective: This study aims to propose a novel algorithm to use scheduling data to identify complex scheduling patterns among patients with transportation and housing needs.
J Dent
January 2025
Faculty of Dentistry, University of Otago, New Zealand.
Objective: The present study aimed to investigate the impact of utilizing an innovative and comprehensive patient-centered digital clinical decision aid designed to facilitate shared decision-making in missing tooth replacement between dental students and their patients.
Methods: A qualitative study using interview approach was conducted in Hong Kong SAR and Malaysia. Thirty dental undergraduate students, each with one patient from the Faculty of Dentistry at The University of Hong Kong (n = 15) and Universiti Teknologi MARA (n = 15), were introduced to a digitally designed decision aid in missing tooth replacement prior to their treatment appointments.
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