UNASSIGNED: Patients\' missed appointments can cause interference in the functions of the clinics and the visit of other patients. One of the most effective strategies to solve the problem of no-show rate is the use of an open access scheduling system (OA). This systematic review was conducted with the aim of investigating the impact of OA on the rate of no-show of patients in outpatient clinics.
UNASSIGNED: Relevant articles in English were investigated based on the keywords in title and abstract using PubMed, Scopus, and Web of Science databases and Google Scholar search engine (July 23, 2023). The articles using OA and reporting the no-show rate were included. Exclusion criteria were as follows: (1) review articles, opinion, and letters, (2) inpatient scheduling system articles, and (3) modeling or simulating OA articles. Data were extracted from the selected articles about such issues as study design, outcome measures, interventions, results, and quality score.
UNASSIGNED: From a total of 23,403 studies, 16 articles were selected. The specialized fields included family medicine (62.5%, 10), pediatrics (25%, four), ophthalmology, podiatric, geriatrics, internal medicine, and primary care (6.25%, one). Of 16 articles, 10 papers (62.5%) showed a significant decrease in the no-show rate. In four articles (25%), the no-show rate was not significantly reduced. In two papers (12.5%), there were no significant changes.
UNASSIGNED: According to this study results, it seems that in most outpatient clinics, the use of OA by considering some conditions such as conducting needs assessment and system design based on the patients\' and providers\' actual needs, and cooperating of all system stakeholders through consistent training caused a significant decrease in the no-show rate.

UNASSIGNED: Behavioral measurement-based care (MBC) can improve patient outcomes and has also been advanced as a critical learning health system (LHS) tool for identifying and mitigating potential disparities in mental health treatment. However, little is known about the uptake of remote behavioral MBC in safety net settings, or possible disparities occurring in remote MBC implementation.
UNASSIGNED: This study uses electronic health record data to study variation in completion rates at the clinic and patient level of a remote MBC symptom measure tool during the first 6 months of implementation at three adult outpatient psychiatry clinics in a safety net health system. Provider-reported barriers to MBC adoption were also measured using repeated surveys at one of the three sites.
UNASSIGNED: Out of 1219 patients who were sent an MBC measure request, uptake of completing at least one measure varied by clinic: General Adult Clinic, 38% (n = 262 of 696); Substance Use Clinic, 28% (n = 73 of 265); and Transitions Clinic, 17% (n = 44 of 258). Compared with White patients, Black and Portuguese or Brazilian patients had lower uptake. Older patients also had lower uptake. Spanish language of care was associated with much lower uptake at the patient level. Significant patient-level disparities in uptake persisted after adjusting for the clinic, mental health diagnoses, and number of measure requests sent. Providers cited time within visits and bandwidth in their workflow as the greatest consistent barriers to discussing MBC results with patients.
UNASSIGNED: There are significant disparities in MBC uptake at the patient and clinic level. From an LHS data infrastructure perspective, safety net health systems may need to address the need for possible ways to adapt MBC to better fit their populations and clinical needs, or identify targeted implementation strategies to close data gaps for the identified disparity populations.

BACKGROUND: Confronting the COVID-19 epidemic forced the closure or relocation of the majority of health facilities. It is likely that non-COVID-19 patients suffered collateral effects.
METHODS: The clinic and operating room records were analyzed at selected Palestinian government hospitals in the West Bank region.
RESULTS: The reduction in patient clinic visits varied from 49% to 90%, with Ear-Nose-Throat (ENT), urology, and pediatric clinics being the most affected. The reduction in operation numbers in the center (which had independent decision-making) ranged from 7.1% to 23.4%, but in the north and south (which followed centralized choices), the reduction ranged from 19.6% to 91.8%.
CONCLUSIONS: COVID-19 affected outpatient visits. The pandemic affected some services, but West Bank hospitals were able to provide normal obstetric and gynecological treatments and help patients who needed primary or intermediate surgery.

BACKGROUND: Application of accumulated experience and management measures in the prevention and control of coronavirus disease 2019 (COVID-19) has generally depended on the subjective judgment of epidemic intensity, with the quality of prevention and control management being uneven. The present study was designed to develop a novel risk management system for COVID-19 infection in outpatients, with the ability to provide accurate and hierarchical control based on estimated risk of infection.
METHODS: Infection risk was estimated using an auto regressive integrated moving average model (ARIMA). Weekly surveillance data on influenza-like-illness (ILI) among outpatients at Xuanwu Hospital Capital Medical University and Baidu search data downloaded from the Baidu Index in 2021 and 22 were used to fit the ARIMA model. The ability of this model to estimate infection risk was evaluated by determining the mean absolute percentage error (MAPE), with a Delphi process used to build consensus on hierarchical infection control measures. COVID-19 control measures were selected by reviewing published regulations, papers and guidelines. Recommendations for surface sterilization and personal protection were determined for low and high risk periods, with these recommendations implemented based on predicted results.
RESULTS: The ARIMA model produced exact estimates for both the ILI and search engine data. The MAPEs of 20-week rolling forecasts for these datasets were 13.65% and 8.04%, respectively. Based on these two risk levels, the hierarchical infection prevention methods provided guidelines for personal protection and disinfection. Criteria were also established for upgrading or downgrading infection prevention strategies based on ARIMA results.
CONCLUSIONS: These innovative methods, along with the ARIMA model, showed efficient infection protection for healthcare workers in close contact with COVID-19 infected patients, saving nearly 41% of the cost of maintaining high-level infection prevention measures and enhancing control of respiratory infections.

OBJECTIVE: To determine headache diagnosis and treatment patterns in the outpatient setting, focusing on documentation of the International Classification of Headache Disorders (ICHD) criteria.
METHODS: Retrospective cohort data were collected from electronic medical records of adults aged 18-35 who presented to resident-staffed family medicine outpatient clinics in the Midwest, USA, for a new or worsening headache between 2015 and 2016. Diagnosis codes were used to summarize the overall nature and prevalence of headaches. A random subset of 30 patients each for migraine headache (MGH) with and without aura and tension-type headache (TTH) were reviewed to determine how many of the five possible ICHD criteria were documented. Demographics/clinical characteristics, ICHD criteria, number and type of medications, and healthcare utilization (imaging, primary and emergency department care) through one year following the initial visit were summarized and compared across headache types.
RESULTS: There were 716 unique patients during the study period (414 MGH, 227 unspecified headaches, 75 TTH, or others). Complete ICHD criteria were documented for two patients in total. There was partial documentation (e.g., one to four of the possible five) for 30% of TTH, 63% of MGH without aura, and 77% of MGH with aura (p<0.05). Across headache types, patients were prescribed an average of 2.3 to 3.3 medications over one year, with MGH patients generally trying more medications (up to eight for those with aura and up to 12 for those without). Abortive or rescue medications were prescribed to nearly all patients; prophylactics were prescribed for 50% of MGH with aura, 66.7% of MGH without aura, and 53.3%. Non-pharmacologic interventions were less prescribed: 33.3% of TTH patients and 3.3% of MGH types combined (p<0.05). Healthcare utilization was highest for MGH with aura (ED visits) and without aura (clinic visits) patients compared to TTH (p<0.001).
CONCLUSIONS: Headache-related documentation is often incomplete, which may limit interpretation and associations between diagnoses, prescribing patterns, and healthcare utilization. Future studies should evaluate the use of electronic medical records (EMR)-based templates to improve documentation, and additional detailed studies are needed in the local setting to determine whether treatment, including the use of non-pharmacologic and prophylactic methods of treatment, is optimal.

Due to the decreased availability, accessibility, and quality of services, the COVID-19 pandemic has an impact on the healthcare system. In the wake of the COVID-19 pandemic, patients\' perceptions of healthcare have changed, and out-patient visits to clinics have decreased. As part of the COVID-19 outbreak in East Jerusalem, this study aims to assess how patients perceive the way that outpatient clinic services were delivered before and during COVID-19 outbreak.
Convenience sampling and self-reported questionnaires were used in a cross-sectional study. Three hundred people from three significant outpatient clinic hospitals in East Jerusalem-Al-Makassed Hospital, Augusta Victoria Hospital, and Sant-Joseph Hospital- made up the sample. Multivariate tests, frequencies, and percentages were used in the statistical analysis.
The results showed that the most of the participants (98.6%) had negative opinion when the current situation is compared with before the COVID-19 period in terms of accessibility, availability of resources, quality of care, attitudes and patient\'s preference. Finally, multivariate analysis indicated a significant relationship between participant opinion and education level and participants with educational levels of 12 study years or less had more positive opinions of the delivery of the healthcare system during the COVID-19 outbreak period than the group with more than 12 study years. Also, the multivariate analysis revealed a significant `relationship between participant opinion and the duration of the illness as those with years of illness and less had more negative opinion toward the delivery of the healthcare system than those with more than 3 years of illness.
This study found that when the current situation during the COVID-19 outbreak is compared to before the COVID-19 period in terms of accessibility, availability of resources, quality of care, attitudes, and patient preferences, the majority of the participants with chronic diseases or cancer had a negative opinion. Policymakers and health managers should enhance patient preferences and attitudes during the COVID-19 pandemic and other pandemics by increasing accessibility, availability of health resources, and the quality of healthcare.

BACKGROUND: Delayed access to outpatient care may negatively impact on health outcomes. We aimed to evaluate implementation of the Specific Timely Appointments for Triage (STAT) model of access in an epilepsy clinic to reduce a long waitlist and waiting time.
METHODS: This study is an intervention study using pre-post comparison and an interrupted time series analysis to measure the effect of implementation of the STAT model to an epilepsy clinic. Data were collected over 28 months to observe the number of patients on the waitlist and the waiting time over three time periods: 12 months prior to implementation of STAT, ten months during implementation and six months post-intervention. STAT combines one-off backlog reduction with responsive scheduling that protects time for new appointments based on historical data. The primary outcomes were the number of patients on the waitlist and the waiting time across the three time periods. Secondary outcomes evaluated pre- and post-intervention changes in number of appointments offered weekly, non-arrival and discharge rates.
RESULTS: A total of 938 patients were offered a first appointment over the study period. The long waitlist was almost eliminated, reducing from 616 during the pre-intervention period to 11 post-intervention (p = 0.002), but the hypothesis that waiting time would decrease was not supported. The interrupted time series analysis indicated a temporary increase in waiting time during the implementation period but no significant change in slope or level in the post- compared to the pre-intervention period. Direct comparison of the cohort of patients seen in the pre- and post-intervention periods suggested an increase in median waiting time following the intervention (34 [IQR 25-86] to 46 [IQR 36-61] days (p = 0.001)), but the interquartile range reduced indicating less variability in days waited and more timely access for the longest waiters.
CONCLUSIONS: The STAT model was implemented in a specialist epilepsy outpatient clinic and reduced a large waitlist. Reductions in the waitlist were achieved with little or no increase in waiting time. The STAT model provides a framework for an alternative way to operate outpatient clinics that can help to ensure that all people referred are offered an appointment in a timely manner.

Low health literacy (HL) among people living with HIV (PLWHIV) encounter more disease related complications, more difficulty understanding health-related information and low adherence. Considering that, the HL levels among PLWHIV needs to be further investigated. The objective of this study was to investigate the levels of HL and patient involvement among PLWHIV in an outpatient clinic in Denmark. A second objective was to examine differences in HL levels across socio-demographic characteristics.
In 2019, a population of 682 PLWHIV from a Danish outpatient hospital clinic were enrolled in cross-sectional study. Patients who had a digital postbox received an electronic questionnaire including following domains; health literacy, patient involvement, and socio-demographic status. Health literacy was measured using the Health Literacy Questionnaire (HLQ) through scores on three subscales: social support for health (HLQ4), engaging with healthcare providers (HLQ6), and understanding health information (HLQ9). An unpaired t-test was used to investigate mean differences in the HLQ scores across socio-demographic variables.
A total of 338 (55%) patients responded to the questionnaire. The included participants demonstrated high levels of HLQ4 (mean = 4.2) and HLQ6 (mean = 4.2), but lower for HLQ9 (mean = 2.9). In total 70-80% reported being involved in decisions about their health. We found a positive association between high level of HL (HLQ9) and living with a partner and higher levels of HL (HLQ4, HLQ6, and HLQ9) and employment.
PLWHIV in a Danish out-patient care population were found to have high levels of HL despite differences in demographic characteristics. Further research is needed to examine the levels of HL among non-responders to develop HL approaches and strategies to meet the needs of individuals with different HL skills.

UNASSIGNED: Minority and low socioeconomic communities may face practical barriers to vaccination, including decreased access to health care and less trust in healthcare organizations; however, few studies have focused on these barriers as the cause of differential vaccine uptake. We worked with community partners to implement and evaluate two community-driven approaches to COVID-19 vaccination distribution-through faith-based organizations (FBOs) and outpatient clinics-with a focus on understanding the differences between the populations who accessed each distribution method.
UNASSIGNED: Participants who came to the vaccination locations were approached and asked to complete a survey during their 15 min post-vaccination observation period. Differences between distribution locations were examined using Chi-square tests.
UNASSIGNED: The survey rendered 1,476 valid responses, with a total of 927 participants recruited at clinical locations and 519 at FBOs during vaccination events. There were significant differences by race/ethnicity, with distribution methods at FBOs reaching a higher proportion of Hispanic/Latino and Marshallese participants. The proportion of uninsured participants who had lower health literacy and had lower educational attainment was higher with the FBO distribution method. FBO participants were more likely to report \"completely\" trusting the COVID-19 vaccine. There was no significant difference between FBO and clinic participants with regard to the level of vaccine hesitancy. There were no statistically significant differences with regard to access.
UNASSIGNED: A higher proportion of Hispanic/Latino and Marshallese participants utilized FBOs for vaccination, suggesting collaborations with FBOs can potentially increase vaccination uptake among minority communities and help mitigate vaccination disparities.

UNASSIGNED: Psychology is at the beginning of a cooperative revolution. Traditionally, psychological research has been conducted by individual labs, limiting its scope in clinical samples and promoting replication problems. Large-scale collaborations create new opportunities for highly powered studies in this resource-intensive research area. To present the current state of a Germany-wide platform for coordinating research across university outpatient clinics for psychotherapy.
UNASSIGNED: Since 1999, over 50 such clinics were created in Germany. They represent a unique infrastructure for research, training, and clinical care. In 2013, a steering committee initiated a nationwide research platform for systematic coordination of research in these clinics (German abbreviation \"KODAP\"). Its main goal is to aggregate and analyze longitudinal treatment data - including patient, therapist, and treatment characteristics - across all participating clinics.
UNASSIGNED: An initial survey (100% response rate) yielded recommendations for improved integration of data collection. Pilot data from 4,504 adult (16 clinics) and 568 child and adolescent patients (7 clinics) proved feasibility of data transfer and aggregation despite different data formats. Affective, neurotic, stress, and somatoform (adults) and anxiety and behavioral (children and adolescents) disorders were most frequent; comorbidity was high. Overcoming legal, methodological, and technical challenges, a common core assessment battery was developed, and data collection started in 2018. To date, 42 clinics have joined.
UNASSIGNED: KODAP shows that research collaboration across university outpatient clinics is feasible. Fulfilling the need for stronger cumulative and cooperative research in Clinical Psychology will contribute to better knowledge about mental health, a core challenge to modern societies.