Getting More Out of Clinical Documentation: Can Clinical Dashboards Yield Clinically Useful Information?

This study investigated coded data retrieved from clinical dashboards, which are decision-support tools that include a graphical display of clinical progress and clinical activities. Data were extracted from clinical dashboards representing 256 youth (M age = 11.9) from 128 practitioners who were trained in the Managing and Adapting Practice (MAP) system (Chorpita & Daleiden in BF Chorpita EL Daleiden 2014 Structuring the collaboration of science and service in pursuit of a shared vision. 43(2):323 338. 2014, Chorpita & Daleiden in BF Chorpita EL Daleiden 2018 Coordinated strategic action: Aspiring to wisdom in mental health service systems. 25(4):e12264. 2018) in 55 agencies across 5 regional mental health systems. Practitioners labeled up to 35 fields (i.e., descriptions of clinical activities), with the options of drawing from a controlled vocabulary or writing in a client-specific activity. Practitioners then noted when certain activities occurred during the episode of care. Fields from the extracted data were coded and reliability was assessed for Field Type, Practice Element Type, Target Area, and Audience (e.g., Caregiver Psychoeducation: Anxiety would be coded as Field Type = Practice Element; Practice Element Type = Psychoeducation; Target Area = Anxiety; Audience = Caregiver). Coders demonstrated moderate to almost perfect interrater reliability. On average, practitioners recorded two activities per session, and clients had 10 unique activities across all their sessions. Results from multilevel models showed that clinical activity characteristics and sessions accounted for the most variance in the occurrence, recurrence, and co-occurrence of clinical activities, with relatively less variance accounted for by practitioners, clients, and regional systems. Findings are consistent with patterns of practice reported in other studies and suggest that clinical dashboards may be a useful source of clinical information. More generally, the use of a controlled vocabulary for clinical activities appears to increase the retrievability and actionability of healthcare information and thus sets the stage for advancing the utility of clinical documentation.

Results of a pre-implementation analysis of Ethiopia's National Pediatric Cancer Registry.

In Ethiopia, cancer accounts for about 5.8% of total national mortality, with an estimated annual incidence of cancer of approximately 60,960 cases and an annual mortality of over 44,000 persons. This is likely an underestimation. Survival rates for pediatric malignancies are likewise suboptimal although exact figures are unknown since a national cancer registry is unavailable. The World Health Organization (WHO) provides recommendations for the creation of cancer registries to track such data. Here we describe our pharmacist-led, pre-implementation assessment of introducing an enhanced national pediatric cancer registry in Ethiopia. Our assessment project had three specific aims around which the methods were designed: 1) characterization of the current spreadsheet-based tool across participating sites, including which variables were being collected, how these variables compared to standards set by the WHO, and a description of how the data were entered and its completeness; 2) assessment of the perceptions of an enhanced registry from hospital staff; and 3) evaluation of workflow gaps regarding documentation. The hospital staff and leadership have generally positive perceptions of an enhanced pediatric cancer registry, which were further improved by our interactions. The workflow assessment revealed several gaps, which were addressed systematically using a three-phase implementation science approach. The assessment also demonstrated that the existing spreadsheet-based tool was missing WHO-recommended variables and had inconsistent completion due to the workflow gaps. A pediatric oncology summary sheet will be implemented in upcoming trips in patient charts to better summarize the patients' journey starting from diagnosis. This document will be used by the data clerks in an enhanced-spreadsheet to have a more complete data set.

Role of Pharmacy Analytics in Creating a Data-Driven Culture for Frontline Management.

Purpose: The purpose of this article is to offer key recommendations based on the authors' experiences for utilizing pharmacy analytics to support moving beyond standard-of-practice operational metrics towards high impact reporting to drive day-to-day decisions for frontline leaders. Summary: There is a continuous and vast amount of data generated through all facets of a health system's daily operations, yet many data elements go unused and fail to contribute to value creation and increased performance at an organizational level. It is critical, therefore, for departments of pharmacy to identify and implement effective strategies to leverage data through robust business analytics and reporting, ensuring managers at every level are provided the information they need to support data-driven decisions and meaningful interventions in the day-to-day operations of the organization. At the authors' institution, development and growth of a dedicated Pharmacy Analytics (PA) team has been instrumental to the pharmacy department for generating value and proactively supporting a business intelligence strategy that focuses on a data-driven management culture. Key recommendations to leverage pharmacy analytics are provided within four overarching themes: building transparency, leveraging synergy, optimizing actionability, and prioritizing partnerships. Conclusion: Through creation of a data-driven management culture, the authors provide recommendations for leveraging pharmacy analytics to reduce costs and impact outcomes across a range of hospital pharmacy operations.

Patient risk factors associated with embolic stroke volumes after revascularization.

OBJECTIVE: Previous research has shown that subclinical, microembolic infarcts result in long-term cognitive changes. Whereas both carotid endarterectomy (CEA) and carotid artery stenting (CAS) have potential for microembolic events, CAS has been shown to have a larger volume of infarct. We have previously shown that large-volume infarction is associated with long-term memory deterioration. The purpose of this study was to identify independent risk factors that trend toward higher embolic volumes in both procedures. METHODS: A total of 162 patients who underwent carotid revascularization procedures were prospectively recruited at two separate institutions. Preoperative and postoperative brain magnetic resonance images were compared to identify procedure-related microinfarcts. A novel semiautomated approach was used to define volumes of infarcts for each patient. Patient-related factors including comorbidities, symptomatic status, and medications were analyzed. Tweedie regression analysis was used to identify risk factors associated with procedure-related infarct volume. Variables with an unadjusted P value of ≤ .05 were included in the multivariate analysis. RESULTS: There were 80 CAS and 82 CEA procedures performed and analyzed for the data set; 81% of CAS patients had procedure-related new infarcts with a mean volume of 388.15 ± 927.90 mm3 compared with 30% of CEA patients with a mean volume of 74.80 ± 225.52 mm3. In the CAS cohort, increasing age (adjusted coefficient ± standard error, 0.06 ± 0.02; P < .01) and obesity (1.14 ± 0.35; P < .01) were positively correlated with infarct volume, whereas antiplatelet use (-1.11 ± 0.33; P < .001) was negatively correlated with infarct volume. For the CEA group, diabetes (adjusted coefficient ± standard error, 1.69 ± 0.65; P < .01) was identified as the only risk factor positively correlated with infarct volume, whereas increasing age (-0.10 ± 0.05; P = .03) was negatively correlated with infarct volume. CONCLUSIONS: Risk factors for CAS- or CEA-related infarct volumes are identified in our study. Although the result warrants further validation, this study showed that advanced age, obesity, and diabetes independently predicted volume of microinfarcts related to CAS and CEA. These data provide valuable information for patient factor-based risk stratification and preoperative consultation for each procedure.

Bootstrap analysis of diffusion tensor and mean apparent propagator parameters derived from multiband diffusion MRI.

PURPOSE: To directly compare diffusion metrics derived from multiband (MB) imaging sequences to those derived using a single-band acquisition. METHODS: In this work, diffusion metrics from DTI and mean apparent propagator MRI derived from a commercial MB sequence with an acceleration factor of 3 are compared with those derived from a conventional diffusion MRI sequence using a novel bootstrapping analysis scheme on oversampled diffusion MRI data. The average parameter values for fractional anisotropy and mean diffusivity derived from DTI, as well as propagator anisotropy and return to origin probability derived from mean apparent propagator MRI, are compared. RESULTS: Fractional anisotropy and propagator anisotropy are very similar when computed from data collected with and without MB, but show minor differences at low and high values of fractional anisotropy/propagator anisotropy. Mean diffusivity values are generally lower in the MB-derived maps, and return to origin probability is generally higher. The coefficient of variation of each parameter is shown to be slightly higher on average from the maps derived from MB versus single band when the TR is short, and slightly lower when the TR of the MB and single-band experiments is equal. CONCLUSION: These results demonstrate that the MB sequence tested in this work provides very similar results to a conventional diffusion MRI sequence. The MB sequence is affected minimally by the slight decrease in SNR associated with the parallel reconstruction and reduced TR, and there are relaxation effects associated with the reduced TR.

"Go! to Sleep": A Web-Based Therapy for Insomnia.

BACKGROUND: Insomnia is a common complaint of individuals presenting to healthcare providers and is associated with decreased quality of life and higher healthcare utilization. In-person cognitive behavioral therapy (CBT) is an effective treatment for insomnia but is hindered by cost and limited access to treatment. Initial research suggests that Web-based CBT may mitigate these obstacles. INTRODUCTION: This study tests the effectiveness of a Web-based program for insomnia based on principles of CBT and stress management. MATERIALS AND METHODS: We conducted a randomized trial with wait-list controls among adults with primary insomnia (n = 88). Two hundred sixty-three adults with comorbid insomnia were also included and analyzed separately. The intervention was a 6-week online program, and effectiveness was measured via the Insomnia Severity Index (ISI). RESULTS: Baseline ISI score for the intervention group (n = 43) was 17.0; 16.6 for the control group (n = 45). At first follow-up, the intervention group (n = 25) had a mean change from baseline of -7.3 (95% CI: -9.0, -5.6), sustained through second follow-up, while the control group (n = 35) had a change of -1.3 (-2.7, 0.1). The between-group difference was statistically significant (p < 0.001). Participants in the comorbid insomnia group had a baseline ISI score of 16.7 with improvement similar to the primary insomnia group (-6.9; -7.6, -6.2). DISCUSSION: We observed clinically meaningful improvements in insomnia severity in adults with primary or comorbid insomnia. Sustained improvement over 4 months underscores the effectiveness of a well-constructed online CBT for insomnia program. CONCLUSIONS: Go! to Sleep

Advanced Practice Pharmacists: a retrospective evaluation of the efficacy and cost of ClinicaL Pharmacist PractitionErs managing ambulatory Medicare patients in North Carolina (APPLE-NC).

BACKGROUND: Clinical Pharmacist Practitioners are advanced practicing pharmacists in North Carolina that provide disease-specific management. The purpose of this retrospective cohort study was to compare the efficacy and charges from referrals to a Clinical Pharmacist Practitioner by the primary care provider, to those managed by a primary care provider alone. METHODS: Patients were separated into cohorts depending if they had at least two appointments with a Clinical Pharmacist Practitioner from November 2008 to November 2011. A primary care provider saw all patients at least twice during the study period. Cohorts were then matched by age, gender, and disease states. Medicare billed data was evaluated from outpatient visits related to hypertension, diabetes mellitus, and peripheral neuropathy, as well as emergency department visits and inpatient admissions. Cost of medications was estimated using 2009 AWP data corresponding to medication histories within the electronic medical record. Efficacy was defined as ability to reach disease state goal determined using national guidelines and reduction in pain score. Efficacy was analyzed by difference-in-differences test and all other numerical data tested by paired t-tests. RESULTS: The Clinical Pharmacist Practitioners cohort experienced more outpatient visits (1338 vs. 858, p < 0.001), fewer emergency department visits (115 vs. 190, p < 0.05), and similar inpatient admissions (88 vs. 117, p > 0.05) than the primary care providers cohort, respectively. The Clinical Pharmacist Practitioners cohort showed changes in charges of +22.6 % for outpatient visits, -45.5 % emergency department visits, and -13.2 % inpatient admissions relative to the primary care provider cohort. There was no difference in average daily medication cost (Clinical Pharmacist Practitioners $38.52 vs. primary care providers $38.23, p = 0.97) or achievement of disease state goals. CONCLUSION: APPLE-NC demonstrated that through referrals, Clinical Pharmacist Practitioners provide services comparable in charges and efficacy to primary care providers. Consequently, the current increased need for primary care practitioners can be met in part by increasing the utilization of advanced practice pharmacists for chronic disease management. TRIAL REGISTRATION: This does not apply for this retrospective cohort study.

At the Intersection of Health Information Technology and Decision Support: Measurement Feedback Systems... and Beyond.

We select and comment on concepts and examples from the target articles in this special issue on measurement feedback systems, placing them in the context of some of our own insights and ideas about measurement feedback systems, and where those systems lie at the intersection of technology and decision making. We contend that, connected to the many implementation challenges relevant to many new technologies, there are fundamental design challenges that await a more elaborate specification of the clinical information and decision models that underlie these systems. Candidate features of such models are discussed, which include referencing multiple evidence bases, facilitating observed and expected value comparisons, fostering collaboration, and allowing translation across multiple ontological systems. We call for a new metaphor for these technologies that goes beyond measurement feedback and encourages a deeper consideration of the increasingly complex clinical decision models needed to manage the uncertainty of delivering clinical care.

Fit of evidence-based treatment components to youths served by wraparound process: a relevance mapping analysis.

This study investigated whether and which evidence-based treatment (EBT) components might generalize to youths served by the wraparound process. To examine these questions, the study used relevance mapping, an empirical methodology that compares youths in a given clinical population with participants in published randomized trials to determine who may be "coverable" by EBTs and which treatments may collectively be most applicable. In a large diverse clinical sample, youths receiving wraparound services (n = 828) were compared with youths receiving other services (n = 3,104) regarding (a) demographic and clinical profiles, (b) "coverability" by any EBTs, and (c) specific practices from those EBTs that most efficiently applied to each group. Participants in studies of EBTs matched the demographic and clinical characteristics of nearly as many youths receiving wraparound (58-59%) as those receiving non-wraparound services (61-64%). Moreover, the best-fitting solutions of relevant sets of practices were highly similar across groups. These results provide the first large-scale empirical characterization of fit between EBTs and youths receiving wraparound and suggest that these youths are well suited to benefit from clinical strategies commonly used in EBTs.

Healthcare Providers' Knowledge of Diets and Dietary Advice.

OBJECTIVES: Little is known about healthcare providers' knowledge of dietary evidence or about what dietary advice providers offer to patients. The objective of our study was to determine which diets providers recommended to patients and providers' beliefs about the evidence behind those recommendations. METHODS: This was a 22-question cross-sectional survey conducted between February 2013 and September 2013, in 45 ambulatory practices within two health systems. Attending physicians, housestaff, and advanced practitioners in internal medicine, medicine-pediatrics, family medicine, cardiology, and endocrinology practices were audited. Providers' attitudes, perceptions, and beliefs about diet modification were collected. Knowledge scores were constructed based on the number of correct responses to specific questions. RESULTS: Of 343 provider responses, largely from primary care specialties (n = 3027, 90%), the top dietary recommendations were low-salt diet (71%) for hypertension, low-carbohydrate diet (64%) for uncontrolled diabetes mellitus, low saturated fat diet (73%) for dyslipidemia, low-calorie diet (72%) for obesity, and low saturated fat diet (63%) for coronary heart disease. Providers believed that 51% of diet recommendations were supported by randomized trial evidence when they were not. Respondents' overall knowledge of randomized trial evidence for dietary interventions was low (mean [standard deviation] knowledge score 44.3% [22.4%], range 0.0%-100.0%). The survey study from two health systems, using a nonvalidated survey tool limits external and internal validity. CONCLUSIONS: Providers report recommending different diets depending on specific risk factors and generally believe that their recommendations are evidence based. Substantial gaps between their knowledge and the randomized trial evidence regarding diet for disease prevention remain.

Detecting enzyme activities with exogenous MRI contrast agents.

This review focuses on exogenous magnetic resonance imaging (MRI) contrast agents that are responsive to enzyme activity. Enzymes can catalyze a change in water access, rotational tumbling time, the proximity of a (19)F-labeled ligand, the aggregation state, the proton chemical-exchange rate between the agent and water, or the chemical shift of (19)F, (31)P, (13)C or a labile (1)H of an agent, all of which can be used to detect enzyme activity. The variety of agents attests to the creativity in developing enzyme-responsive MRI contrast agents.

Effect of dietary pulse intake on established therapeutic lipid targets for cardiovascular risk reduction: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Evidence from controlled trials encourages the intake of dietary pulses (beans, chickpeas, lentils and peas) as a method of improving dyslipidemia, but heart health guidelines have stopped short of ascribing specific benefits to this type of intervention or have graded the beneficial evidence as low. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to assess the effect of dietary pulse intake on established therapeutic lipid targets for cardiovascular risk reduction. METHODS: We searched electronic databases and bibliographies of selected trials for relevant articles published through Feb. 5, 2014. We included RCTs of at least 3 weeks' duration that compared a diet emphasizing dietary pulse intake with an isocaloric diet that did not include dietary pulses. The lipid targets investigated were low-density lipoprotein (LDL) cholesterol, apolipoprotein B and non-high-density lipoprotein (non-HDL) cholesterol. We pooled data using a random-effects model. RESULTS: We identified 26 RCTs (n = 1037) that satisfied the inclusion criteria. Diets emphasizing dietary pulse intake at a median dose of 130 g/d (about 1 serving daily) significantly lowered LDL cholesterol levels compared with the control diets (mean difference -0.17 mmol/L, 95% confidence interval -0.25 to -0.09 mmol/L). Treatment effects on apolipoprotein B and non-HDL cholesterol were not observed. INTERPRETATION: Our findings suggest that dietary pulse intake significantly reduces LDL cholesterol levels. Trials of longer duration and higher quality are needed to verify these results. TRIAL REGISTRATION: ClinicalTrials.gov, no. NCT01594567.

Family voice with informed choice: coordinating wraparound with research-based treatment for children and adolescents.

The wraparound process is a type of individualized, team-based care coordination that has become central to many state and system efforts to reform children's mental health service delivery for youths with the most complex needs and their families. Although the emerging wraparound research base is generally positive regarding placements and costs, effect sizes are smaller for clinical and functional outcomes. This article presents a review of literature on care coordination and wraparound models, with a focus on theory and research that indicates the need to better connect wraparound-enrolled children and adolescents to evidence-based treatment (EBT). The article goes on to describe how recently developed applications of EBT that are based on quality improvement and flexible application of "common elements" of research-based care may provide a more individualized approach that better aligns with the philosophy and procedures of the wraparound process. Finally, this article presents preliminary studies that show the feasibility and potential effectiveness of coordinating wraparound with the Managing and Adapting Practice system, and discusses intervention development and research options that are currently under way.

Beliefs about preventive care, individual health, and lifestyle change among low-income African American women at risk for diabetes.

Focus groups were held to better understand conceptions of disease prevention among low-income African American women at risk for diabetes. Mental calm was associated with health more than nutrition, exercise, or social connection. This finding suggests that prioritizing stress reduction will help with successful implementation of community holistic diabetes prevention programs.

Dietary intakes of red meat, poultry, and fish during high school and risk of colorectal adenomas in women.

Adolescent diet may be etiologically relevant for colorectal carcinogenesis. We examined the association between meat and fish intakes during adolescence and the risk of colorectal adenomas later in life among 19,771 women participating in the Nurses' Health Study II. Subjects had completed a validated food frequency questionnaire in 1998 (when aged 34-51 years) about their diets during high school and subsequently underwent at least 1 lower-bowel endoscopy during the study period (1998-2007). During this period, 1,494 subjects were diagnosed with colorectal adenomas. Intake of red meat during adolescence was not associated with colorectal adenoma risk when comparing those in the highest versus lowest category of intake (odds ratio (OR) = 1.04, 95% confidence interval (CI): 0.81, 1.35). Similarly, intake of fish during adolescence was not associated with colorectal adenoma risk (OR = 0.96, 95% CI: 0.78, 1.17). Intake of poultry during adolescence was associated with a lower risk of total colorectal (OR = 0.80, 95% CI: 0.64, 0.99), distal (OR = 0.71, 95% CI: 0.51, 0.99), rectal (OR = 0.51, 95% CI: 0.29, 0.90), and advanced (OR = 0.60, 95% CI: 0.38, 0.93) adenomas. Replacement of 1 serving per day of red meat with 1 serving per day of poultry or fish was associated with 41% and 35% decreased risks for rectal adenomas and advanced adenomas, respectively. Our findings do not suggest an association between red meat intake during adolescence and colorectal adenomas later in life, but higher poultry intake during this time was associated with a lower risk of colorectal adenomas.

More practice, less preach? the role of supervision processes and therapist characteristics in EBP implementation.

Identifying predictors of evidence-based practice (EBP) use, such as supervision processes and therapist characteristics, may support dissemination. Therapists (N = 57) received training and supervision in EBPs to treat community-based youth (N = 136). Supervision involving modeling and role-play predicted higher overall practice use than supervision involving discussion, and modeling predicted practice use in the next therapy session. No therapist characteristics predicted practice use, but therapist sex and age moderated the supervision and practice use relation. Supervision involving discussion predicted practice use for male therapists only, and modeling and role-play in supervision predicted practice use for older, not younger, therapists.

Dietary Assessment by Pattern Recognition: a Comparative Analysis.

Background: Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide use. Objective: This study aimed to assess 1) the validity of Diet ID in measuring diet quality, food group and nutrient intake against 2 traditional dietary assessment methods (i.e., food record [FR], food frequency questionnaire) and 2) the test reproducibility/reliability of Diet ID to obtain similar results with repeat assessments. Methods: Using a participant-sourcing platform for online research, we recruited 90 participants, 58 of whom completed DQPN, a 3-d FR (via the Automated Self-Administered 24-hour Dietary Assessment Tool), and a food frequency questionnaire (FFQ, via the Dietary History Questionnaire III). We estimated mean nutrient and food group intake with all 3 instruments and generated Pearson correlations between them. Results: Mean age (SD) of participants was 38 (11) y, and more than half were male (64%). The strongest correlations for DQPN when compared with the other 2 instruments were for diet quality, as measured by the Healthy Eating Index 2015; between DQPN and the FFQ, the correlation was 0.58 (P < 0.001), and between DQPN and the FR, the correlation was 0.56 (P < 0.001). Selected nutrients and food groups also showed moderate strength correlations. Test-retest reproducibility for measuring diet quality was evaluated for DQPN and showed a correlation of 0.70 (P < 0.0001). Conclusions: The current study offers evidence that DQPN is comparable to traditional dietary assessment tools for estimating overall diet quality. This performance, plus DQPN's ease-of-use and scalability, may recommend it in efforts to make dietary assessment a universal part of clinical care.

Eligibility of emergency psychiatry patients for clinical trials studying depression.

BACKGROUND: Differences often exist between people with depression who are eligible for clinical trials and those seen in clinical practice. The impact of exclusion criteria on eligibility has been previously reported for inpatients and outpatients, but has not been assessed for emergency psychiatry patients; a group that overlaps with inpatients and outpatients but also has important distinctives. Understanding the frequencies of commonly used exclusion criteria in this population could inform interpretation of existing data (generalizability) and highlight opportunities/needs for future trials. METHODS: We reviewed 67 clinical trials studying depression using Qualitative Content Analysis to identify common and recurring exclusion criteria. We examined the frequency of these exclusion criteria among a clinical sample of emergency psychiatry patients. RESULTS: Most clinical trials had exclusions for basic research requirements, age, symptom severity, psychosis, and substance use. Applying 9 commonly used exclusion criteria to the clinical population resulted in a 3.3 % eligibility rate (95 % CI 1.2 %-7.0 %). Exclusions for psychosis (85.1 % of trials), substance use (83.6 % of trials), and suicide risk (65.7 % of trials) would likely exclude 93 % of emergency psychiatry patients. The prevalence of psychosis, substance use, and suicide risk was much higher among emergency psychiatry patients than among previously studied populations. LIMITATIONS: Some eligibility criteria could not be measured. The Qualitative Content Analysis consolidated similar exclusion criteria, losing potentially important nuances in wordings. CONCLUSIONS: Exclusion criteria commonly used in contemporary clinical trials of depression limit generalizability to emergency psychiatry patients, due in large part to exclusions for psychosis, substance use, and suicide risk.

Soli-enabled noncontact heart rate detection for sleep and meditation tracking.

Heart rate (HR) is a crucial physiological signal that can be used to monitor health and fitness. Traditional methods for measuring HR require wearable devices, which can be inconvenient or uncomfortable, especially during sleep and meditation. Noncontact HR detection methods employing microwave radar can be a promising alternative. However, the existing approaches in the literature usually use high-gain antennas and require the sensor to face the user's chest or back, making them difficult to integrate into a portable device and unsuitable for sleep and meditation tracking applications. This study presents a novel approach for noncontact HR detection using a miniaturized Soli radar chip embedded in a portable device (Google Nest Hub). The chip has a [Formula: see text] dimension and can be easily integrated into various devices. The proposed approach utilizes advanced signal processing and machine learning techniques to extract HRs from radar signals. The approach is validated on a sleep dataset (62 users, 498 h) and a meditation dataset (114 users, 1131 min). The approach achieves a mean absolute error (MAE) of 1.69 bpm and a mean absolute percentage error (MAPE) of [Formula: see text] on the sleep dataset. On the meditation dataset, the approach achieves an MAE of 1.05 bpm and a MAPE of [Formula: see text]. The recall rates for the two datasets are [Formula: see text] and [Formula: see text], respectively. This study represents the first application of the noncontact HR detection technology to sleep and meditation tracking, offering a promising alternative to wearable devices for HR monitoring during sleep and meditation.