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This study examines the trends, patterns, and potential health disparities in health care utilization among children with medical complexity, before and during COVID pandemic through a retrospective chart review. Our findings show significant differences in the average number of visits per patient over the years and support the adoption of telehealth consultations, while highlighting concerns about demographic disparities.

Despite increasing attention on suicidality in autistic people, we know little about suicidal presentations when autistic individuals present to hospital emergency departments (ED). We conducted an exploratory retrospective chart review of suicidal thoughts and behaviours (STB) of autistic adults who presented to a psychiatric ED. The analysis included 16 charts over a 10-week period. Findings highlight that reported STB were not always the presenting issue. Life transitions and interpersonal conflicts were common antecedents, and active rumination about STB was distressing and fatiguing. Findings imply that ED visits serve as important opportunities for suicidal risk reduction for autistic individuals, through implementation of strategies for identification of STB such as active screening, and the provision of suicide resources tailored to autistic people.

Electronic health records (EHRs) with large sample sizes and rich information offer great potential for dementia research, but current methods of phenotyping cognitive status are not scalable. The aim of this study was to evaluate whether natural language processing (NLP)-powered semiautomated annotation can improve the speed and interrater reliability of chart reviews for phenotyping cognitive status. In this diagnostic study, we developed and evaluated a semiautomated NLP-powered annotation tool (NAT) to facilitate phenotyping of cognitive status. Clinical experts adjudicated the cognitive status of 627 patients at Mass General Brigham (MGB) health care, using NAT or traditional chart reviews. Patient charts contained EHR data from two data sets: (1) records from January 1, 2017, to December 31, 2018, for 100 Medicare beneficiaries from the MGB Accountable Care Organization and (2) records from 2 years prior to COVID-19 diagnosis to the date of COVID-19 diagnosis for 527 MGB patients. All EHR data from the relevant period were extracted; diagnosis codes, medications, and laboratory test values were processed and summarized; clinical notes were processed through an NLP pipeline; and a web tool was developed to present an integrated view of all data. Cognitive status was rated as cognitively normal, cognitively impaired, or undetermined. Assessment time and interrater agreement of NAT compared to manual chart reviews for cognitive status phenotyping was evaluated. NAT adjudication provided higher interrater agreement (Cohen κ=0.89 vs κ=0.80) and significant speed up (time difference mean 1.4, SD 1.3 minutes; P<.001; ratio median 2.2, min-max 0.4-20) over manual chart reviews. There was moderate agreement with manual chart reviews (Cohen κ=0.67). In the cases that exhibited disagreement with manual chart reviews, NAT adjudication was able to produce assessments that had broader clinical consensus due to its integrated view of highlighted relevant information and semiautomated NLP features. NAT adjudication improves the speed and interrater reliability for phenotyping cognitive status compared to manual chart reviews. This study underscores the potential of an NLP-based clinically adjudicated method to build large-scale dementia research cohorts from EHRs.

Purpose Little is known about non-tobacco substance use (SU) and its treatment in cancer patients. National guidelines address tobacco only, and assessment of SU in cancer patients is not standardized. It is not clear how oncology clinicians assess, document, and follow-up on SU. Methods We conducted an electronic health record review of patients enrolled in a smoking cessation trial at one large hospital site ( N  = 176). Chart review of oncology treatment notes assessed whether SU assessment was documented, the content of the documentation/assessment (e.g., frequency of use), and details about documentation (e.g., where/who documented). Results Sixty-nine percent (121/176) of cancer patients had SU documented. Many patients (42%, 74/176) had only one substance documented; 66% (116/176) had alcohol use documented. For a substantial minority of patients (43/176; 24%), the provider did not specify the substance assessed (e.g., “drug use,” “illicits”). SU was primarily documented by physicians (84%, 102/121), in routine progress notes (56%, 68/121), in the “social history” section of the note (84%, 102/121). Only 4 patients had a documented SU follow-up plan. When examining the subset of patients who reported problematic alcohol use ( N  = 27), the content of documentation was inconsistent (e.g., number of drinks/day vs. qualitative descriptors of use). Conclusions About 1/3 of oncology patients did not have SU assessment documented. SU other than alcohol use was infrequently documented, many clinicians documented SU but did not specify substance type, and few clinicians documented a follow-up plan for problematic SU. Oncology settings should utilize standardized assessment and referral for SU treatment.

Free clinics may present long wait times. A retrospective chart review was conducted at a free clinic to understand contributing factors. Three wait times (total visit time, lobby wait time, and triage time) were analyzed across 349 patients. Variables included in the models were the total number of patients, providers, and volunteers; interpreter services; social work involvement; medical complexity; new vs. returning patient; scheduled vs. walk-in appointment; transportation provision; medical volunteer training level; and on-site medications and labs. Data analysis with multiple regressions was conducted. Factors that significantly affected wait times included the level of medical complexity (p<.001), medical volunteer training levels (p<.001), in-house labs (p<.001), in-house medications (p=.04), and new patients (p=.01). An intervention involving time benchmarks at the beginning of clinics reduced first-wave lobby wait times (p<.001). Future interventions addressing these factors may reduce wait times at other clinics.

This article describes the rate of suicidal ideation (SI) across three timepoints among treatment-seeking patients recently discharged from psychiatric hospitalization—a group that is at ultrahigh-risk for suicide. Retrospective chart review was used to quantify the rate of SI in 252 consecutive patients discharged to a post-hospital mental health clinic. Data include patients’ lifetime history of SI, SI at the time of hospital intake, and SI at post-hospital outpatient clinic intake, as well as demographics and diagnosis. Overall, 67% of the sample reported a lifetime history of SI, 49% reported SI during hospital intake, and 6% reported SI at post-hospital clinic intake. Age was the only variable associated with history of SI ( p  = .04), with younger patients more likely (OR = 1.85) to report a history of SI. These results may help inform the development of interventions for the population of ultrahigh-risk patients being discharged from hospital after psychiatric care.

Introduction: Our study provides data on the prevalence of human papillomavirus (HPV) related disease and vaccination rates among users of pre-exposure prophylaxis (PrEP) in a primary care clinic. Results highlight an opportunity to partner HIV and HPV prevention efforts. Methods: This is a retrospective chart review of PrEP patients in an urban Midwestern Family Medicine clinic. We conducted univariate analyses for HPV vaccination status and the prevalence of any HPV-related disease. We then examined bivariate relationships between vaccination status and insurance coverage, provider type, and age. Results: Of all 78 PrEP patients identified, 21.8% (n = 17) were vaccinated. Of the 59 patients 45 years or younger, 28.8% (n = 17) were vaccinated. There was no association between insurance or provider type and vaccination status. Patients 26 years or younger were 3 times more likely to be vaccinated than those ages 27 to 45 (56.3% vs 18.6%, P = .0011). Three unvaccinated patients had HPV-related disease. Conclusions: Despite ongoing risk of HPV infection and frequent interaction with the medical system, this study found most PrEP users continue to be unvaccinated. This is a significant missed opportunity for HPV prevention. With the FDA approval of the HPV vaccine for individuals age 9 to 45, PrEP patients in this age range would benefit from clinicians partnering HPV vaccination with PrEP prescribing.

Considering the limited resources for providing inpatient services, identification of the factors influencing length of stay (LOS) is of great importance. The current study is a retrospective chart review which was planned to investigate the determinants of LOS in two gender-specific psychiatric wards within Baqiatallah Hospital (BQH) located in Tehran. The observation period was between March 21, 2011 and March 19, 2016. 3203 patients were recruited in terms of inclusion and exclusion criteria. Next, required data on 25 explanatory variables were extracted from their case-files. Descriptive measures were used for analysis and Independent Samples T-test, one-way ANOVA, Pearson’s correlation coefficient and Bonferroni’s post-hoc test for inferential analysis. Lastly, a multiple linear regression model was run to determine significant predictors of psychiatric LOS. Variables significantly correlated with patients’ LOS included gender, age, employment status, marital status, number of divorces, disability rate, discharge diagnosis, physical comorbidity, number of previous hospitalizations, suicide ideation, number of suicide attempts, history of assault, tobacco consumption, a history of narcotic drug abuse and number of ECT sessions. Through the analysis of multiple linear regression, it came to light that significant predictors of LOS in the final model could account for 37.9% of the variance in LOS. From the findings of current study, it can be inferred that clinical aspects as well as treatment procedures have major effects on LOS. Although the factors examined here could not explain an acceptable variance in LOS, the results are useful for the treatment team when they want to devise a care plan or give discharge to a patient.

Despite promising outcomes in randomized-controlled trials, uptake of supported employment and education (SEE) services among youth in early psychosis intervention (EPI) programs has been lower than expected. This study examined factors associated with the use of SEE in the first 3 months of EPI services. A prospective chart review was conducted of the records of 225 patients who were consecutively enrolled in a large EPI program. We compared participants who used SEE with those who did not use SEE in the first 3 months of treatment using t tests and chi-square tests. Multivariate logistic regression was used to model the odds of using SEE, while controlling for other factors. Among the full sample of 225 patients, 39.6% ( N  = 89) used SEE in the first 3 months of treatment. Compared with patients who did not use SEE, SEE users were more likely to have no legal involvement (75.0% versus 88.8%; χ 2 = 6.48; p  = 0.01) and use Individual Resiliency Training (IRT) in the first 3 months of treatment (34.6% versus 74.2%; χ 2 = 33.74; p  =  < 0.001). Not using IRT (OR = 0.19; 95% CI 0.10–0.36; p  =  < 0.001) was associated with a decreased odds of using SEE in the first 3 months of treatment in the final multivariate model. These findings can be used to facilitate the development of a targeted and active approach to improving engagement in SEE among EPI service users.

Despite its importance in the lived experience of dementia, symptom fluctuation has been little studied outside Lewy body dementia. We aimed to characterize symptom fluctuation in patients with Alzheimer's disease (AD) and mixed dementia. A qualitative analysis of health records that included notations on good days and bad days yielded 52 community-dwelling patients (women, n = 30; aged 39–91 years; mild dementia, n = 26, chiefly AD, n = 36). Good days/bad days were most often described as changes in the same core set of symptoms (e.g. less/more verbal repetition). In other cases, only good or only bad days were described (e.g. no bad days, better sense of humor on good days). Good days were typically associated with improved global cognition, function, interest, and initiation. Bad days were associated with frequent verbal repetition, poor memory, increased agitation and other disruptive behaviors. Clinically important variability in symptoms appears common in AD and mixed dementia. Even so, what makes a day “good” is not simply more (or less) of what makes a day “bad”. Further investigation of the factors that facilitate or encourage good days and mitigate bad days may help improve quality of life for patients and caregivers.