Missed appointments at a Swiss university outpatient clinic

Lehmann, Tanya; Aebi, A.; Lehmann, David C.; Olivet, Mae; Stalder, Hans

doi:10.1016/j.puhe.2007.01.007

Cited by 58 publications

(48 citation statements)

References 18 publications

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“…Delays greater than 90 days, however, are not associated with an increase in risk of missing in this group. We hypothesize that appointments scheduled after such a delay are most probably taken for a new reason for consultation that, similarly to what has been described in adults [31], adolescents would be less likely to miss. That is not always the case for follow-up appointments, which are probably mostly purposed by the provider, as patients may feel the follow-up appointments more frequently unnecessary than the providers, similarly to what has been reported by Wick et al [32] in a study conducted in general practices.…”

Section: Discussionmentioning

confidence: 72%

Missed Appointments in an Outpatient Clinic for Adolescents, an Approach to Predict the Risk of Missing

Chariatte

Berchtold

Akré

et al. 2008

Journal of Adolescent Health

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Section: Discussionmentioning

confidence: 72%

Missed Appointments in an Outpatient Clinic for Adolescents, an Approach to Predict the Risk of Missing

Chariatte

Berchtold

Akré

et al. 2008

Journal of Adolescent Health

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“…Lehmann et al [14] in a Swiss clinic found 206 of 1.296 appointments have not been met. Okotie et al [21] investigated 226 urological outpatients, 63.2% were punctual and 14.8% never came.…”

Section: Discussionmentioning

confidence: 98%

No-Shows in Outpatient Medical Institutions in Germany �C A Pilot Study about Explanations of Patients Why they Missed their Appointment

Frank¹

2014

SJPH

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Abstract:Patients, who miss an appointment in medical institutions (so called "no-shows") cause a significant damage to the health care system. We asked 181 patients (65% female, 35% male; average age 43.7 y.) how often they missed appointments in the past 12 months. The questionnaire's reliability was r = 0.76. We recorded 2,778 events. 3.13% of the appointment were missed and 0.43% came much too late. Most common reasons were forgetfulness and confusion of dates. Severity of pain and health-limitations correlated positive with punctuality. Among the no-shows were significantly more unemployed subjects than people with an occupation. There was no significant difference between pensioners and unemployed participants. Only 25% found memory aids such as letters, phone calls or short text messages helpful before the appointment. 60% of patients agreed to pay a fee of max. 1.-€ for such a service. As charge for doctor's loss of income due to the missed appointment a payment between 10.-€ and 20.-€ was judged to be appropriate. Two groups of "persons of risk" have been identified: 1. non-working people and 2. patients with poor memory. Both groups valued reminders for the appointment positively.

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“…[3][4][5][6] Studies of single missed appointments have produced conflicting results when it comes to designing effective interventions that can increase attendance. [7][8][9][10] This may be due to a reliance on small samples in disparate settings [11][12][13][14][15] and conflation of patients who occasionally miss appointments with patients who have an established pattern of missing many.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort

et al. 2017

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IntroductionUnderstanding the causes of low engagement in healthcare is a pre-requisite for improving health services’ contribution to tackling health inequalities. Low engagement includes missing healthcare appointments. Serially (having a pattern of) missing general practice (GP) appointments may provide a risk marker for vulnerability and poorer health outcomes.Methods and analysisA proof of concept pilot using GP appointment data and a focus group with GPs informed the development of missed appointment categories: patients can be classified based on the number of appointments missed each year. The full study, using a retrospective cohort design, will link routine health service and education data to determine the relationship between GP appointment attendance, health outcomes, healthcare usage, preventive health activity and social circumstances taking a life course approach and using data from the whole journey in the National Health Service (NHS) healthcare. 172 practices will be recruited (∼900 000 patients) across Scotland. The statistical analysis will focus on 2 key areas: factors that predict patients who serially miss appointments, and serial missed appointments as a predictor of future patient outcomes. Regression models will help understand how missed appointment patterns are associated with patient and practice characteristics. We shall identify key factors associated with serial missed appointments and potential interactions that might predict them.Ethics and disseminationThe results of the project will inform debates concerning how best to reduce non-attendance and increase patient engagement within healthcare systems. Significant non-academic beneficiaries include governments, policymakers and medical practitioners. Results will be disseminated via a combination of academic outputs (papers, conferences), social media and through collaborative public health/policy fora.

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Missed appointments at a Swiss university outpatient clinic

Cited by 58 publications

References 18 publications

Missed Appointments in an Outpatient Clinic for Adolescents, an Approach to Predict the Risk of Missing

Missed Appointments in an Outpatient Clinic for Adolescents, an Approach to Predict the Risk of Missing

No-Shows in Outpatient Medical Institutions in Germany �C A Pilot Study about Explanations of Patients Why they Missed their Appointment

Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort

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