Risk Factors for Nonattendance in Delusional Infestation: A Multicenter Observational Study

BACKGROUND

Nonattendance is common among patients suffering from delusional infestation (DI) with a risk factor for poorer patient outcomes.

OBJECTIVE

The aim of this study was to determine the incidence rate and predictors of nonattendance among patients presenting to a psychodermatology department with DI and the subsequent effect on the success of prescribing new antipsychotics.

METHODS

Data of 265 patients were reviewed of the Amsterdam UMC, the Erasmus University Medical Center, the Royal London Hospital, and the Liverpool School of Tropical Medicine between January 2008 and October 2019.

RESULTS

We observed that among the patients who attended the first consultation, 57% (n = 144) did not attend their second visit. Recreational drug use was significantly higher in the nonattendance group compared to the attendance group (25% against 18%). Patients who had a history of previously prescribed antipsychotics at the time of the first consultation were less likely to get prescribed antipsychotics from the psychodermatology departments for DI; however, prescribing antipsychotic drugs by the psychodermatology department did not influence nonattendance significantly.

CONCLUSIONS

People suffering from DI are at high risk of nonattendance, even in specialist settings. Patients with current illicit drug use and younger patients are particularly at risk of this.

Evaluating the reasons for nonattendance to outpatient consultations: is waiting time an important factor?

Background

 Nonattendance is a common problem worldwide. Important factors for nonattendance are a queue or the waiting time until the planned service.

Aims

The aims of this study were to identify the reasons for nonattendance to planned consultations, assess the waiting time from registration to access to an outpatient specialist consultation, and identify the associations between the reasons for nonattendance and the waiting time until the planned outpatient specialist consultation.

Methods

A cross-sectional study based on a phone questionnaire was conducted among patients not attending a planned consultation at the outpatient department of the Lithuanian University of Health Sciences Kaunas Hospital in Kaunas, Lithuania. A total of 972 phone calls were made, and 389 telephone surveys were completed.

Results

The mean respondents’ waiting time until the planned outpatient consultation was 15.13 ± 10 days. The highest proportion of nonattendance was observed when the wait time was between 6 and 17 days.

More often, the patients did not attend the planned outpatient consultation due to worsened health status (24.69%), unidentified personal problems (14.91%), work-related problems (13.62%) and being unaware about the appointment (11.82%). A longer waiting time was significantly associated with the following reasons for nonattendance: work-related problems, health problems solved at another health care institution, unidentified personal problems and unknown reasons for nonattendance. The highest proportions of nonattending patients had consultations registered with neurologists (17.0%), traumatologists (11.3%) and cardiologists (10.5%).

Conclusions

Patients did not identify the long waiting time until outpatient specialist consultation among the main reasons for nonattendance. The issue of waiting time is not an important aspect of nonattendance.

Increased non-attendance at epilepsy clinic in patients with neuropsychiatric comorbidities: A prospective study

BACKGROUND

In patients with epilepsy, regular follow-up is vital for adequate seizure control, antiseizure drugs' (ASDs) side effects, psychiatric comorbidities, and planning for epilepsy surgery. Non-attendance creates barriers to adequate patient care, inefficient allocation of resources, loss of income, and unnecessary emergency department visits due to lack of seizure control. This study aimed to determine the causes and sociodemographic characteristics of the non-attendant population at the Epilepsy Clinic.

METHODS

A prospective and observational study was carried out on patients treated at the Epilepsy Clinic of the National Institute of Neurology and Neurosurgery (NINN) in Mexico from August 2015 to June 2016. A phone interview was made with all those patients who did not attend the epilepsy consultation. This call incorporated ad hoc questions to meet the objectives of this study.

RESULTS

During the study period, 1299 patients had an appointment at the epilepsy clinic, where 233 (17.9%) patients missed their consultation, 123 (52.8%) were male, mean age was 35.9 ± 14.42 years. The most frequent cause of non-attendance was forgetfulness of the appointment in 62 patients (26.6%). Two patients died; no patient was reported to have experienced SUDEP. Non-attendant patients showed statistically significant overall prevalence of psychiatric comorbidities (41.6%), particularly depression, anxiety, and interictal psychosis.

CONCLUSION

Information on non-attendance at various specialist consultations is scarce, and to our knowledge, this is the first study to address non-attendance in patients with epilepsy in Latin America. Improving hospital protocols to reduce non-attendance can increase patient adherence to follow-up, ultimately improving the quality of care in the epilepsy clinic.

Factors Associated with Nonattendance to a Geriatric Clinic among Mexican Older Adults

INTRODUCTION

Outpatient appointment nonattendance (NA) represents a public health problem, increasing the risk of unfavorable health-related outcomes. Although NA is significant among older adults, little is known regarding its correlates. This study aimed to identify the correlates (including several domains from the geriatric assessment) of single and repeated NA episodes in a geriatric medicine outpatient clinic, in general and in the context of specific comorbidities.

METHODS

This is a cross-sectional study including data from 3,034 older adults aged ≥60 years with ≥1 scheduled appointments between January 1, 2016, and December 31, 2016. Appointment characteristics as well as sociodemographic, geographical, and environmental information were obtained. Univariate and multivariate multinomial regression analyses were carried out.

RESULTS

The mean age was 81.8 years (SD 7.19). Over a third (37.4%) of participants missed one scheduled appointment, and 14.4% missed ≥2. Participants with a history of stroke (OR 1.336, p = 0.041) and those with a greater number of scheduled appointments during the study time frame (OR 1.182, p < 0.001) were more likely to miss one appointment, while those with Parkinson's disease (OR 0.346, p < 0.001), other pulmonary diseases (OR 0.686, p = 0.008), and better functioning for activities of daily living (ADL) (OR 0.883, p < 0.001) were less likely to do so. High socioeconomic level (OR 2.235, p < 0.001), not having a partner (OR 1.410, p = 0.006), a history of fractures (OR 1.492, p = 0.031), and a greater number of scheduled appointments (OR 1.668, p < 0.001) increased the risk of repeated NA, while osteoarthritis (OR 0.599, p = 0.001) and hypertension (OR 0.680, p = 0.002) decreased it. In specific comorbidity populations (hypertension, type 2 diabetes mellitus, and cancer), better ADL functioning protected from a single NA, while better mobility functioning protected from repeated NA in older patients with hypertension and cancer.

DISCUSSION/CONCLUSION

Identifying geriatric factors linked to an increased probability of NA may allow one to anticipate its likelihood and lead to the design and implementation of preventive strategies and to an optimization of the use of available health resources. The impact of these factors on adherence to clinical visits requires further investigation.

[Assessment of a newly-implemented blended teaching of intensive care and emergency medicine at Paris-Diderot University]

INTRODUCTION

Blended-learning methods could be a response to student nonattendance. Non-compulsory teaching combining e-learning/interactive face-to-face sessions has been implemented at Paris-Diderot Medical School for the teaching of intensive care and emergency medicine during the 2018/2019 university period. The aim of the study was to assess this newly-implemented blended teaching.

METHODS

Questionnaire submitted to the 388 DFASM3 medical students present at the faculty exam of intensive care/emergency medicine. Attendance at a teaching modality was defined by the follow-up of more than half of this teaching modality. Correlations between attendance at e-learning and/or interactive face-to-face sessions, and grade were performed.

RESULTS

A total of 358/388 (92%) students participated in this survey. A quarter of the students (88/321 - 25%) reported they usually attended at traditional lectures. Regarding blended-learning, 210/317 (67%) students reported having attended at e-learning courses and 84/321 (27%) attended at interactive face-to-face sessions. The distribution of students according to their attendance at e-learning and/or interactive face-to-face sessions was significantly different (P<0.01). There was a significant correlation (P<0.001) between attendance at e-learning and grade obtained at the faculty exam. Nevertheless, this correlation was also found for these students in another course taught traditionally. Overall, 309/315 (98%) students were satisfied with the blended teaching, 297/318 (93%) wanted its extent to the whole medical school's curriculum.

CONCLUSION

The use of combined learning methods reached more students than traditional teachings and allowed the University to focus on its role of knowledge transfer.

Measuring the effectiveness of patient-chosen reminder methods in a private orthodontic practice

OBJECTIVE

To evaluate the effectiveness of patient-chosen appointment reminder methods (phone call, e-mail, or SMS text) in reducing no-show rates.

MATERIALS AND METHODS

This was a retrospective case study that determined the correlation between patient-chosen appointment reminder methods and no-show rates in a private orthodontic practice. This study was conducted in a single office location of a multioffice private orthodontic practice using data gathered in 2015. The subjects were patients who self-selected the appointment reminder method (phone call, e-mail, or SMS text). Patient appointment data were collected over a 6-month period. Patient attendance was analyzed with descriptive statistics to determine any significant differences among patient-chosen reminder methods.

RESULTS

There was a total of 1193 appointments with an average no-show rate of 2.43% across the three reminder methods. No statistically significant differences ( P = .569) were observed in the no-show rates between the three methods: phone call (3.49%), e-mail (2.68%), and SMS text (1.90%).

CONCLUSIONS

The electronic appointment reminder methods (SMS text and e-mail) had lower no-show rates compared with the phone call method, with SMS text having the lowest no-show rate of 1.90%. However, since no significant differences were observed between the three patient-chosen reminder methods, providers may want to allow patients to choose their reminder method to decrease no-shows.

The financial impact of clinic no-show rates in an academic pediatric otolaryngology practice

PURPOSE

To investigate determinants of no-show rates in an academic pediatric otolaryngology practice including appointment time, age, sex, new patient status, payer mix, and median household income by zip code.

MATERIALS AND METHODS

Retrospective chart review of clinic no-show rates and patient demographics in a free standing children's hospital and affiliated outpatient clinics across eight providers in a one-year period.

RESULTS

Analysis shows that the overall no-show rate across all providers was 15% with the highest rate of 19% in the zip code with the lowest median income. Highest no-shows are in June, but overall, seasons did not play a significant role in no-show rates. Male gender, morning appointments, and having public insurance appear to significantly predict no-shows. Lost revenue on no-shows range from $191K to $384K per year. The average percentage of the amount billed paid by insurance range from the lowest by out-of-state Medicaid at 16% to the highest by managed care at 54%.

CONCLUSIONS

No-show rates account for a significant portion of lost revenue in the outpatient setting for an academic practice, and can be predicted by lower median income, male gender, morning appointments, and public insurance. Such patients may need different appointment reminders. Future clinic templates should be optimized for no-shows to increase productivity and access to care.

The effect of fines on nonattendance in public hospital outpatient clinics: study protocol for a randomized controlled trial

Background

Nonattendance at scheduled appointments in public hospitals presents a challenge for efficient resource use and may ultimately affect health outcomes due to longer waiting times. Seven percent of all scheduled outpatient appointments in the United Kingdom are estimated to be nonattended. Various reminder systems have been shown to moderately reduce nonattendance, although the effect of issuing fines for nonattendance has not yet been tested in a randomized context. However, such use of financial incentives could impact access to care differently across the different socioeconomic groups. The aim of this study is to assess the effect of fines on hospital outpatient nonattendance.

Methods/design

A 1:1 randomized controlled trial of scheduled outpatient appointments was used, with follow-ups until the date of appointment. The setting is an orthopedic clinic at a regional hospital in Denmark. Appointments for users who are scheduled for diagnostics, treatment, surgery, or follow-ups were included from May 2015 to November 2015. Appointments assigned to the intervention arm include an attachment of the appointment letter explaining that a fine will be issued in the case of nonattendance without prior notice. Appointments assigned to the control arm follow usual practice (same system but no letter attachment). The primary outcome is the proportion of nonattendance. Secondary outcomes are proportions of cancellations, sociodemographics, and health-problem characteristics. Furthermore, the intervention costs and production value of nonattended appointments will be measured. An analysis of effect and cost-effectiveness will be conducted based on a 5 % significance level.

Discussion

The study is initiated and funded by the Danish Regions, which have the responsibility for the Danish public healthcare sector. The results are expected to inform future decisions about the introduction of fines for nonattendance at public hospitals.

Trial registration

Current Controlled Trials, ISRCTN61925912. Registered on 6 July 2015.