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Objective: To assess the rate of missed postpartum appointments at a referral center for high-risk pregnancy and compare puerperal women who did and did not attend these appointments to identify related factors. Methods: This was a retrospective cross-sectional study with all women scheduled for postpartum consultations at a high-risk obstetrics service in 2018. The variables selected to compare women were personal, obstetric, and perinatal. The variables of interest were obtained from the hospital's electronic medical records. Statistical analyses were performed using the Chi-square, Fisher's exact, or Mann-Whitney tests. For the variable of the interbirth interval, a receiver operating characteristic curve (ROC) was used to best discriminate whether or not patients attended the postpartum consultation. The significance level for the statistical tests was 5%. Results: A total of 1,629 women scheduled for postpartum consultations in 2018 were included. The rate of missing the postpartum consultation was 34.8%. A shorter interbirth interval (p = 0.039), previous use of psychoactive substances (p = 0.027), current or former smoking (p = 0.003), and multiparity (p < 0.001) were associated with non-attendance. Conclusion: This study showed a high rate of postpartum appointment non-attendance. This is particularly relevant because it was demonstrated in a high-risk obstetric service linked to clinical severity or social vulnerability cases. This highlights the need for new approaches to puerperal women before hospital discharge and new tools to increase adherence to postpartum consultations, especially for multiparous women.

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BACKGROUND: Nonattendance to scheduled appointments in outpatient clinics is a frequent problem in ambulatory medicine with an impact on health systems and patients' health. The characterization of nonattendance is fundamental for the design of appropriate strategies for its management. AIMS: To identify causes of nonattendance of scheduled ambulatory medical appointments by adult patients. METHODS: Case and two controls study nested in a prospective cohort. A telephone-administered questionnaire was applied within the first 72 hours to identify the causes of attendance, nonattendance, or cancellation in patients who had a scheduled appointment to which they had been present, absent, or cancelled. RESULTS: A total of 150 absences (cases), 176 attendances, and 147 cancellations (controls) in a prospective cohort of 160 146 scheduled appointments (2012/2013) were included. According to self-reports in telephone interviews, the most frequent causes of nonattendance were forgetting 44% (66), unexpected competing events 15.3% (23), illness or unwellness 12% (18), work-related inconvenience 5.3% (8), transport-related difficulties 4.7% (4), and cause that motivated appointment scheduling already resolved 4.7% (4). DISCUSSION: The main cause of nonattendance is forgetting the scheduled appointment, but there is a proportion of different causes that do not respond to reminders but could respond to different strategies.

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RESUMEN: La duración de los tratamientos de ortodoncia siempre ha sido una de las mayores preocupaciones, tanto en los pacientes como en los Ortodoncistas. El proposito de esta investigacion fue determinar la magnitud de las inasistencias a los controles por parte de los pacientes y como estas y otras variables, influyen en la duración de los tratamientos de Ortodoncia en el Centro de Salud Familiar (CESFAM) Dr. Victor Manuel Fernandez, Servicio de Salud de Concepcion, Chile. Se realizo un estudio descriptivo, de tipo transversal, retrospectivo, en el que se utilizaron las fichas clínicas de todos los pacientes que fueron dados de alta por los Ortodoncistas del CESFAM Dr. V. M. F. durante el año 2017. La tabulación se realizó en Microsoft Excel y el análisis estadístico se hizo en InfoStat 17. Se incluyeron 246 pacientes, con una edad de ingreso promedio de 13,6 años. La maloclusion predominante fue la Clase I de Angle (71 %). Estos pacientes tuvieron una duracion de tratamiento promedio de 33,9 meses. Se concluyó que a mayor cantidad de inasistencias, el tratamiento de ortodoncia tuvo una duración mayor.

ABSTRACT: The duration of orthodontic treatments has always been one of the biggest concerns, both in patients and for orthodontists. The purpose of this investigation was to determine the magnitude of the absences to the controls of the patients and how they influence the duration of the orthodontic treatments in the CESFAM Dr. Victor Manuel Fernandez, Concepcion, Chile. A descriptive, cross-sectional, retrospective study was carried out, in which the clinical records of all patients discharged by the Orthodontists of CESFAM Dr. V.M.F. during the year 2017 were analyzed. The tabulation was performed in Microsoft Excel and the statistical analysis was carried out in InfoStat 17. In total, 246 patients were included, with an average age of admission of 13.6 years. The predominant malocclusion was Class I of Angle (71 %). These patients had an average treatment duration of 33.9 months. It was further concluded that the length of orthodontic treatment, was also affected by the increased number of times patients failed to show for treatment.

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Missed appointments have a great economic, social and administrative impact on the management of public health services. This research aimed to study factors associated with non-attendance to the first appointments of pediatric patients in secondary dental care services in the city of Curitiba, Brazil. A cross-sectional study was performed using secondary data from the electronic health records of the Curitiba Municipal Secretary of Health. The study included all children (0-12 years) referred to secondary dental clinics in the years 2010 to 2013. Data were analyzed by the chi-square test and Pearson linear trend chi-square (α = 0.05). Binary logistic regression models were built. Data from 1,663 children were assessed and the prevalence of non-attendance was 28.3%. The variables associated with the non-attendance in inferential analysis (p < 0.05) and in the final model were the household income per capita (95% CI: 1.93-2.82) and the waiting time in virtual queue (95% CI: 1.000-1.002). Socioeconomic aspects and the waiting time in virtual queue, should be considered in the strategic planning of health services as they may influence the attendance of pediatric patients in secondary dental referral service.

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OBJECTIVE: We aimed to estimate nonattendance to scheduled medical ambulatory appointments rates globally and by subgroups. DESIGN AND PARTICIPANTS: We designed a retrospective cohort of all adult outpatients over 18 years old who requested at least one scheduled ambulatory medical appointment from 1 January 2015 to 31 December 2016. SETTING: Hospital Italiano de Buenos Aires is a university general hospital in the Autonomous City of Buenos Aires, Argentina. It includes an integrated health care network that is formed by two high complexity hospitals and 22 primary care centers. RESULTS: The age median was 60.4 years, and 31.33% of the appointments were scheduled by men; 2 526 549 appointments fulfilled selection criteria, belonging to 348 420 patients. The global nonattendance rate was 27.84% (95% CI, 27.79-27.9). The nonattendance rate to general practitioner appointments was 25.53% (95% CI, 25.42-25.63); to clinical specialties, 27.78% (95% CI, 27.68-27.87); and to surgical specialties, 29.31% (95% CI, 29.23-29.4). CONCLUSIONS: Because of the consistent variability of nonattendance in different settings, it is strongly recommended that local estimates are used in the design of effective interventions to improve adherence with outpatient healthcare scheduled appointments.

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PURPOSE: Appointment scheduling systems traditionally book patients at fixed intervals, without taking into account the complexity factors of the health system. This paper analyzes several appointment scheduling policies of the literature and proposes the most suitable to a bariatric surgery clinic, considering the following complexity factors: (i) stochastic service times, (ii) patient unpunctuality, (iii) service interruptions, and (iv) patient no-shows. MATERIALS AND METHODS: We conducted the study using data collected in a bariatric surgery clinic located in Rio de Janeiro, Brazil. The dataset presented 1468 appointments from June 29, 2015, to June 29, 2016. We comparatively evaluate the main literature policies through a discrete event simulation (DES). RESULTS: The proposed policy (IICR) provides a 30% increase in attendance and allows a decrease in the total cost, maintaining the level of service in terms of average waiting time. CONCLUSION: IICR was successfully implemented, and the practical results were very close to the simulated ones.

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Abstract Missed appointments have a great economic, social and administrative impact on the management of public health services. This research aimed to study factors associated with non-attendance to the first appointments of pediatric patients in secondary dental care services in the city of Curitiba, Brazil. A cross-sectional study was performed using secondary data from the electronic health records of the Curitiba Municipal Secretary of Health. The study included all children (0-12 years) referred to secondary dental clinics in the years 2010 to 2013. Data were analyzed by the chi-square test and Pearson linear trend chi-square (α = 0.05). Binary logistic regression models were built. Data from 1,663 children were assessed and the prevalence of non-attendance was 28.3%. The variables associated with the non-attendance in inferential analysis (p < 0.05) and in the final model were the household income per capita (95% CI: 1.93-2.82) and the waiting time in virtual queue (95% CI: 1.000-1.002). Socioeconomic aspects and the waiting time in virtual queue, should be considered in the strategic planning of health services as they may influence the attendance of pediatric patients in secondary dental referral service.

Resumo O não comparecimento a consultas tem um grande impacto no gerenciamento dos serviços de saúde pública. O objetivo foi avaliar os fatores associados ao não comparecimento às primeiras consultas de pacientes pediátricos nos serviços de atenção secundária em saúde bucal na cidade de Curitiba, Brasil. Um estudo transversal foi desenvolvido com dados secundários obtidos de cadastros eletrônicos da Secretaria Municipal de Saúde de Curitiba. Participaram crianças de 0 a 12 anos de idade encaminhadas para atenção secundária nos anos de 2010 a 2013. Os dados foram analisados pelos testes de qui-quadrado de Pearson e qui-quadrado de tendência linear (α = 0,05). Foram constituídos modelos de regressão logística binária. Foram analisados os dados de 1.663 crianças. A prevalência de não comparecimento às primeiras consultas foi de 28,3%. As variáveis que estiveram associadas ao não comparecimento na análise inferencial (p < 0,05) e no modelo final foram a renda per capita familiar (95% CI: 1,93-2,82) e o tempo de espera em fila virtual (95% CI: 1,000-1,002). Aspectos econômicos e o tempo de espera em fila virtual devem ser considerados no planejamento estratégico dos serviços públicos de saúde bucal, pois podem influenciar o comparecimento de pacientes na atenção secundária.

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Patient no-show is a prevalent problem in health care services leading to inefficient resources allocation and limited access to care. This study aims to develop and validate a patient no-show predictive model based on empirical data. A retrospective study was performed using scheduled appointments between 2011 and 2014 from a Brazilian public primary care setting. Fifty percent of the dataset was randomly assigned to model development, and 50% was assigned to validation. Predictive models were developed using stepwise naïve and mixed-effect logistic regression along with the Akaike Information Criteria to select the best model. The area under the ROC curve (AUC) was used to assess the best model performance. Of the 57,586 scheduled appointments in the period, 70.7% (n = 40,740) were evaluated including 5,637 patients. The prevalence of no-show was 13.0% (n = 5,282). The best model presented an AUC of 80.9% (95% CI 80.1-81.7). The most important predictors were previous attendance and same-day appointments. The best model developed from data already available in the scheduling system, had a good performance to predict patient no-show. It is expected the model to be helpful to overbooking decision in the scheduling system. Further investigation is needed to explore the effectiveness of using this model in terms of improving service performance and its impact on quality of care compared to the usual practice.

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PURPOSE: No-shows of patients to their scheduled appointments have a significant impact on healthcare systems, including lower clinical efficiency and higher costs. The purpose of this study was to investigate the factors associated with patient no-shows in a bariatric surgery clinic. MATERIALS AND METHODS: We performed a retrospective study of 13,230 records for 2660 patients in a clinic located in Rio de Janeiro, Brazil, over a 17-month period (January 2015-May 2016). Logistic regression analyses were conducted to explore and model the influence of certain variables on no-show rates. This work also developed a predictive model stratified for each medical specialty. RESULTS: The overall proportion of no-shows was 21.9%. According to multiple logistic regression, there is a significant association between the patient no-shows and eight variables examined. This association revealed a pattern in the increase of patient no-shows: appointment in the later hours of the day, appointments not in the summer months, post-surgery appointment, high lead time, higher no-show history, fewer numbers of previous appointments, home address 20 to 50 km away from the clinic, or scheduled for another specialty other than a bariatric surgeon. Age group, forms of payment, gender, and weekday were not significant predictors. Predictive models were developed with an accuracy of 71%. CONCLUSION: Understanding the characteristics of patient no-shows allows making improvements in management practice, and the predictive models can be incorporated into the clinic dynamic scheduling system, allowing the use of a new appointment policy that takes into account each patient's no-show probability.

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BACKGROUND: Oral health plays a crucial role in general health, quality of life and well-being of pregnant women and their newborns. In Chile, pregnant women have dental care guaranteed by law. However, due to the lack of previous epidemiological studies on the benefits of this guarantee, it is necessary to describe this situation and evaluate the need to change the methods of providing dental services. OBJECTIVES: The objective of this study was to describe the pattern of providing dental benefits resulting from the Explicit Health Guarantee - Integral Oral Health in Pregnant Women (GES-SOIE) program to pregnant women attending the Juan Soto Fernández Family Health Center, Concepción, Chile, in 2014-2015. MATERIAL AND METHODS: A cross-sectional study of the electronic dental records of patients admitted to GES-SOIE was conducted. The variables studied were sociodemographic data, dental chair hours, non-attendance, treatment completion, and the type of referral to secondary healthcare (SHC). RESULTS: Of 233 pregnant women, 65.2% were registered for non-attendance, 21.2% required referral to SHC and 76.4% completed their treatment. When performing logistic regression, it was found that for each non-attendance the chance of not completing the treatment increased 1.4 times. CONCLUSIONS: The level of non-attendance and opting out of the treatment in pregnant women is high, which hinders the proper functioning and effectiveness of GES-SOIE.

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Resumo O objetivo deste estudo foi identificar os fatores associados ao não comparecimento dos usuários ao tratamento ortodôntico, em três centros de especialidades odontológicas regionais (CEO-R) localizados no estado do Ceará. Metodologia: Os dados foram extraídos de prontuários de pacientes que concluíram o tratamento ortodôntico. Foi calculada a taxa de ausências, com o objetivo de estabelecer um coeficiente de faltas entre os municípios. A fim de descrever o padrão geográfico da ocorrência, foram construídos mapas temáticos baseados nas distribuições. Para as associações entre a variável desfecho (falta ao tratamento) e as independentes (sexo, idade, quebra de aparelho, mudança de profissional, renda e local de residência do usuário), utilizou-se a análise de regressão logística múltipla com p ≤ 0,05. Resultados: Foram examinados 237 prontuários em 20 municípios, com 8.283 consultas ortodônticas realizadas e 2.665 (32,17%) faltas. Apresentou diferença estatisticamente significativa a variável mudança de profissional. Conclusão: O maior número de faltas foi associado à mudança de profissional.

Abstract The aim of this study was to identify the factors associated with the users failing to keep orthodontic treatment appointments (absences), in three regional dental specialty centers (CEO-R) located in the State of Ceará. Methodology: This was a cross-sectional epidemiological study with secondary data source of 3 CEO-R, from which 237 medical records of complete orthodontic treatments were examined, with 8.283 appointments and 2.665 (32.17%) missing appointments. Data collection was standardized by an electronic questionnaire.. Factors associated with users missing appointments were calculated by means of absence rates and thematic maps were constructed based on distributions of the geographical pattern of occurrence. To evaluate the association between the outcome variable (absence from treatment) and the independent variables (sex, age, breakage of appliance, change of professional, income and place of user's residence) multiple logistic regression analysis was used with p ≤ 0.05. Results: There were high absence rates for both city headquarters and non-headquarter CEO-Rs. The variable change of professional showed statistical significance, in relation to the number of absences. Conclusion: The highest number of absences was associated with change of professional.

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The aim of this study was to identify the factors associated with the users failing to keep orthodontic treatment appointments (absences), in three regional dental specialty centers (CEO-R) located in the State of Ceará. METHODOLOGY: This was a cross-sectional epidemiological study with secondary data source of 3 CEO-R, from which 237 medical records of complete orthodontic treatments were examined, with 8.283 appointments and 2.665 (32.17%) missing appointments. Data collection was standardized by an electronic questionnaire.. Factors associated with users missing appointments were calculated by means of absence rates and thematic maps were constructed based on distributions of the geographical pattern of occurrence. To evaluate the association between the outcome variable (absence from treatment) and the independent variables (sex, age, breakage of appliance, change of professional, income and place of user's residence) multiple logistic regression analysis was used with p ≤ 0.05. RESULTS: There were high absence rates for both city headquarters and non-headquarter CEO-Rs. The variable change of professional showed statistical significance, in relation to the number of absences. CONCLUSION: The highest number of absences was associated with change of professional.

O objetivo deste estudo foi identificar os fatores associados ao não comparecimento dos usuários ao tratamento ortodôntico, em três centros de especialidades odontológicas regionais (CEO-R) localizados no estado do Ceará. Metodologia: Os dados foram extraídos de prontuários de pacientes que concluíram o tratamento ortodôntico. Foi calculada a taxa de ausências, com o objetivo de estabelecer um coeficiente de faltas entre os municípios. A fim de descrever o padrão geográfico da ocorrência, foram construídos mapas temáticos baseados nas distribuições. Para as associações entre a variável desfecho (falta ao tratamento) e as independentes (sexo, idade, quebra de aparelho, mudança de profissional, renda e local de residência do usuário), utilizou-se a análise de regressão logística múltipla com p ≤ 0,05. Resultados: Foram examinados 237 prontuários em 20 municípios, com 8.283 consultas ortodônticas realizadas e 2.665 (32,17%) faltas. Apresentou diferença estatisticamente significativa a variável mudança de profissional. Conclusão: O maior número de faltas foi associado à mudança de profissional.

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