A Pilot Project to Integrate Individualized Measurement Into Measurement-Based Care in a Child Partial Hospitalization Program.

Measurement-based care (MBC), or the regular use of progress measures to inform clinical decision-making, improves quality of care and clinical outcomes. MBC typically focuses on standardized rather than individualized outcome measurement. In this pilot study, we examined the clinical utility of integrating individualized measurement with existing standardized outcome monitoring in a children's partial hospitalization program. Participants were 48 youth (M age 10.13 ±â€¯1.39; 54.2% male, 41.7% female, 4.2% transgender or nonbinary). Comorbidity was common; 83.4% of youth had more than one diagnosis at intake. Using the Youth Top Problems for individualized outcome measurement, we examined Top Problem content and clinical improvement over time. Finally, we examined completion rates and describe implementation issues. Top Problems were heterogeneous and sensitive to change. Of the 144 problems, 107 (74%) had a focus consistent with measures used in program, while 37 (26%) were not captured by standardized measures used in program. Effect sizes from admission to final measurement ranged from Cohen's d = .75 - 1.00. Initial adoption of the MBC was strong, but sustained use of the system over the treatment course was challenging. Individualized outcome measurement in children's partial hospitalization programs is feasible to administer and sensitive to clinical change that is unique from change captured in standardized measures. Parents were able to self-identify clinically meaningful, highly individualized Top Problems. Challenges of implementation and clinical assessment in acute settings and potential strategies for improving implementation are discussed.

A new metric for characterizing limb loading dynamics in post anterior cruciate ligament reconstruction individuals.

BACKGROUND: Unresolved neuromuscular deficits often persist in post-anterior cruciate ligament reconstruction (ACLR) individuals manifesting as altered impact and active peak force production during running that can contribute to detrimental limb loading. Elevated impact and active peaks are common in pathological populations indicating a stiffer limb loading strategy. Although impact and active peaks are sensitive to changes in limb loading, to our knowledge, there are no established, standardized measures or cutoff criteria to differentiate between healthy and pathological limb loading. However, prior studies have demonstrated that the ratio between traditional biomechanical measures can be used to successfully establish quantifiable and graphical ranges to delineate between healthy and pathological movement. RESEARCH QUESTION: Therefore, this study sought to exploit the impact-to-active peak ratio to generate a new, standardized metric to quantify and characterize limb loading dynamics in healthy controls and post-ACLR individuals during running. METHODS: Twenty-eight post-ACLR individuals and 18 healthy controls performed a running protocol. Impact peak and active peak data were extracted from their strides as they ran at a self-selected speed. A linear regression model was fit to the healthy control data and the models 95 % prediction intervals were used to define a boundary region of healthy limb loading dynamics. RESULTS: The post-ACLR individuals produced a higher impact-to-active peak ratio than the healthy controls indicating that they adopted a stiffer limb loading strategy. The boundary regions derived from the impact and active peak model successfully classified the healthy controls and post-ACLR individual's limb loading dynamics with an accuracy, sensitivity, and specificity of 89 %, 100 %, and 75 %, respectively. SIGNIFICANCE: The ability to effectively evaluate limb loading dynamics using impact and active peaks can provide clinicians with a new, non-invasive metric to quantify and characterize healthy and pathological movement in a clinical setting.

Application of step-by-step mentorship combined with individualized assessment in practical nursing skill training in higher vocational colleges / 中华医学教育探索杂志

Objective:To explore the application of step-by-step mentorship combined with individualized assessment in practical nursing skill training in higher vocational colleges.Methods:A total of 219 nursing students of Class 2020 were selected from a higher vocational college; they were randomly divided into control group (107 students) and experimental group (112 students), both of which were offered nursing training courses in the first semester. The control group was offered conventional teaching, while the experimental group was offered step-by-step mentorship combined with individualized assessment. The two groups were compared for post-training assessment scores of theoretical knowledge and practical skills and pre-training and post-training comprehensive nursing ability as well as their recognition of the teaching methods after training. The t-test and chi-square test were performed using SPSS 22.0. Results:The post-training assessment scores of theoretical knowledge and practical skills were significantly higher in both subitem score [(89.68±3.58) vs. (82.56±3.35)] and total score [(91.75±3.01) vs. (85.36±2.58)] in the experimental group than in the control group ( P<0.05). There were no significant differences in pre-training comprehensive nursing ability between the two groups, while the post-training comprehensive nursing ability scores were significantly higher in both subitem score and total score [(86.53±2.61) vs. (80.32±2.31)] in the experimental group than in the control group ( P<0.05). After the training, students in the experimental group showed increased recognition of the teaching methods in stimulating their learning interest and initiative, improving their self-learning ability, improving their comprehensive literacy, improving their ability to apply theoretical knowledge, and improving their clinical thinking ability compared with the control group ( P<0.05). Conclusion:The application of step-by-step mentorship combined with individualized assessment in practical nursing skill training in higher vocational colleges can improve students' academic performance and comprehensive nursing ability and increase their recognition of the teaching methods, thus making it worthwhile to be widely adopted.

The Depravity Standard and individualized assessment: A case study modality for Miller resentencing cases.

In the wake of Supreme Court decisions Miller v. Alabama (2012), Montgomery v. Louisiana (2016), and Jones v. Mississippi (2020) that collectively abolished mandatory life sentencing for juveniles, individualized assessment of juvenile homicide offenders is paramount. Yet few actuarial tools exist to inform risk assessment. The Depravity Standard, a 25-item inventory designed to operationalize the heinous, cruel, and depraved features of the offense and its offender that bear on aggravating circumstances, is a notable exception. The current case study applies the Depravity Standard to the codefendants in the seminal Miller case, Evan Miller and Colby Smith, and reveals significant differential evidence of depravity in their intent and conduct within the same criminal episode. The Depravity Standard is a valid and reliable way to quantitatively and qualitatively substantiate evidence of aggravation (Miller) and mitigation (Smith) among adolescents who perpetrate homicide offenses even within the context of the same event. The case study demonstrates a methodology to inform individualized assessment that is required by the courts in Miller resentencing cases.

Tailoring Pain Interference Measurement in People with Cancer: A Feasibility Study.

CONTEXT: Most patient-reported outcomes (PRO) are not directly tailored to an individual patient's values, partially because tailored PROs require clinical interviews or are difficult to use in statistical analyses. OBJECTIVES: This study tested a method for tailoring pain PROs, Precision PROs, that can be implemented, and analyzed using standard statistical tests. METHODS: People with cancer and pain (n = 231) completed an online survey and then a second survey (n = 161) one to two weeks later. Participants reviewed the PROMIS pain interference item bank, chose the four items most important to their quality of life, and then completed those items. Kappas compared choices between the two surveys. Participants completed measures of pain intensity, physical function, and a standard pain interference measure. RESULTS: All participants were able to select four items that were personally meaningful. Only one item (enjoyment of life) was chosen by more than half the sample (50.6%). Kappas for item choice were in the moderate to nearly perfect range for 32 of 35 items. The majority of the sample (59%) preferred tailoring their own PRO questions to completing a previously determined, non-patient-specific PRO. The Precision PRO scores had similar associations with pain intensity and physical function as the standard pain interference measure. CONCLUSION: The Precision PRO approach was feasible, more preferred by patients, and showed consistency over a short timeframe. This approach could be used to make PRO assessment in clinical care and clinical trials more patient-centered. Additional research is needed to determine the generalizability of this approach to other outcomes and populations.

Individualized evaluation and treatment of chronic obstructive pulmonary disease / 中国医师杂志

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease that is characterized by persistent respiratory symptoms and airflow limitation that is due to chronic airway inflammation. Individualized assessment and treatment for COPD has become significantly important. This paper describes the current status regarding individualized assessment and treatment for patients with COPD, in order to improve the understanding of the different characteristics between COPD individuals for physicians.

Development and Validation of an Esophageal Squamous Cell Carcinoma Risk Prediction Model for Rural Chinese: Multicenter Cohort Study.

BACKGROUND: There are rare prediction models for esophageal squamous cell carcinoma (ESCC) for rural Chinese population. We aimed to develop and validate a prediction model for ESCC based on a cohort study for the population. METHODS: Data of 115,686 participants were collected from esophageal cancer (EC) early diagnosis and treatment of cancer program as derivation cohort while data of 54,750 participants were collected as validation cohort. Risk factors considered included age, sex, smoking status, alcohol drinking status, body mass index (BMI), tea drinking status, marital status, annual household income, source of drinking water, education level, and diet habit. Cox proportional hazards model was used to develop ESCC prediction model at 5 years. Calibration ability, discrimination ability, and decision curve analysis were analyzed in both derivation and validation cohort. A score model was developed based on prediction model. RESULTS: One hundred eighty-six cases were diagnosed during 556,949.40 person-years follow-up in the derivation cohort while 120 cases from 277,302.70 in the validation cohort. Prediction model included the following variables: age, sex, alcohol drinking status, BMI, tea drinking status, and fresh fruit. The model had good discrimination and calibration performance: R 2, D statistic, and Harrell's C statistic of prediction model were 43.56%, 1.70, and 0.798 in derivation cohort and 45.19%, 1.62, and 0.787 in validation cohort. The calibration analysis showed good coherence between predicted probabilities and observed probabilities while decision curve analysis showed clinical usefulness. The score model was as follows: age (3 for 45-49 years old; 4 for 50-54 years old; 7 for 55-59 years old; 9 for 60-64 years; 10 for 65-69 years), sex (5 for men), BMI (1 for ≤25), alcohol drinking status (2 for alcohol drinkers), tea drinking status (2 for tea drinkers), and fresh fruit (2 for never) and showed good discrimination ability with area under the curve and its 95% confidence interval of 0.792 (0.761,0.822) in the deviation cohort and 0.773 (0.736,0.811) in the validation cohort. The calibration analysis showed great coherence between predicted probabilities and observed probabilities. CONCLUSIONS: We developed and validated an ESCC prediction model using cohort study with good discrimination and calibration capability which can be used for EC screening for rural Chinese population.

Selection of high-risk individuals for esophageal cancer screening: A prediction model of esophageal squamous cell carcinoma based on a multicenter screening cohort in rural China.

The mortality benefit of esophageal squamous cell carcinoma (ESCC) screening has been reported in several studies; however, the results of ESCC screening programs in China are suboptimal. Our study aimed to develop an ESCC risk prediction model to identify high-risk individuals for population-based esophageal cancer screening. In total, 86 745 participants enrolled in a population-based esophageal cancer screening program in rural China between 2007 and 2012 were included in the present study and followed up until December 31, 2015. Models for identifying individuals at risk of ESCC within 3 years were created using logistic regressions. The area under the receiver operating curve (AUC) was determined to estimate the model's overall performance. A total of 298 individuals were diagnosed with ESCC within 3 years after baseline. The model of ESCC included the predictors of age, sex, family history of upper gastrointestinal cancer, smoking status, alarming symptoms of retrosternal pain, back pain or neck pain, consumption of salted food and fresh fruits and disease history of peptic ulcer or esophagitis (AUC of 0.81; 95% confidence interval: 0.78-0.83). Compared to the current prescreening strategy in our program, the cut-off value of 10 in the score-based model could result in 3.11% fewer individuals subjected to endoscopies and present higher sensitivity, slightly higher specificity and lower number needed to screen. This score-based risk prediction model of ESCC based on eight epidemiological risk factors could increase the efficiency of the esophageal cancer screening program in rural China.

Individualized Progress Measures Are More Acceptable to Clinicians Than Standardized Measures: Results of a National Survey.

Despite research supporting measurement-based care grounded in standardized progress measures, such measures are underutilized by clinicians. Individualized measures of client-specific targets present an alternative, but little is known about their acceptability or use. We compared attitudes toward and use of standardized and individualized progress measures in a national sample of 504 clinicians. Clinicians reported neutral to positive attitudes toward both types of measures, but strongly preferred and were more likely to use individualized measures. Clinician attitudes, theoretical orientation, and work setting predicted assessment preferences and practices. Implications for dissemination and implementation of measurement-based care are discussed.

Applying a statistical method in transvaginal ultrasound training: lessons from the learning curve cumulative summation test (LC-CUSUM) for endometriosis mapping.

BACKGROUND: Methods available for assessing the learning curve, such as a predefined number of procedures or direct mentoring are lacking. Our aim was to describe the use of a statistical method to identify the minimal training length of an experienced sonographer, newly trained in deep infiltrating endometriosis (DIE) mapping by evaluating the learning curve of transvaginal ultrasound (TVUS) in the preoperative assessment of endometriosis. METHODS: A retrospective study in a tertiary referral center for endometriosis. Reports and stored data from TVUS scans performed by one operator with training in general gynecological ultrasound, but not in endometriosis mapping, were analyzed retrospectively for patients who subsequently underwent laparoscopy, which served as a reference standard. The performance of TVUS was assessed for the following sites: endometriomas, bladder, vagina, pouch of Douglas, bowel and uterosacral ligaments, and correlated with laparoscopic findings. Sensitivity, specificity, PPV, NPV, and accuracy were calculated, and the operator's diagnostic performance was assessed using the learning curve cumulative summation test (LC-CUSUM). RESULTS: Data from 94 women were available for analysis. The learning curve using the LC-CUSUM graph showed that the sonographer reached the predefined level of proficiency in detecting endometriosis lesions after 20, 26, 32, 31, 38, and 44 examinations for endometriomas, bladder nodules, vaginal nodules, pouch of Douglas obliteration, bowel nodules, and uterosacral ligament nodules, respectively. CONCLUSIONS: LC-CUSUM allows monitoring of individual performance during the learning process of new methodologies. This study shows that a sonographer trained in general gynecologic ultrasonography, who devotes time to learn TVUS for DIE mapping, can achieve proficiency for diagnosing the major types of endometriotic lesions after examining less than 50 patients who subsequently undergo surgery in a training setting.

A Model To Identify Individuals at High Risk for Esophageal Squamous Cell Carcinoma and Precancerous Lesions in Regions of High Prevalence in China.

BACKGROUND & AIMS: We aimed to develop a population-based model to identify individuals at high risk for esophageal squamous cell carcinoma (ESCC) in regions of China with a high prevalence of this cancer. METHODS: We collected findings from 15,073 permanent residents (45-69 years old) of 334 randomly selected villages in Hua County, Henan Province, China who underwent endoscopic screening (with iodine staining) for ESCC from January 2012 through September 2015. The entire esophagus and stomach were examined; biopsies were collected from all focal lesions (or from standard sites in the esophagus if no abnormalities were found) and analyzed histologically. Squamous dysplasia, carcinoma in situ, and ESCC were independently confirmed by 2 pathologists. Before endoscopy, subjects completed a questionnaire on ESCC risk factors. Variables were evaluated with unconditional univariate logistic regression analysis; variables found to be significantly associated with ESCC were then analyzed by multivariate logistic regression modeling. We used the Akaike information criterion to develop our final model structure and the coding form of variables with multiple measures. We developed 2 groups of models, separately defining severe dysplasia and above (SDA) (lesions including severe dysplasia and higher-grade lesions) and moderate dysplasia and above (lesions including moderate dysplasia and higher-grade lesions) as outcome events. Age-stratified and whole-age models were developed; their discriminative ability in the full multivariate model and the simple age model was compared. We performed area under the receiver operating characteristic curve (AUC) and the DeLong test to evaluate model performance. RESULTS: Our age-stratified prediction models identified individuals 60 years of age or younger with SDA with an AUC value of 0.795 (95% confidence interval, 0.736-0.854) and individuals older than 60 years with SDA with an AUC value of 0.681 (95% confidence interval, 0.618-0.743). Factors associated with SDA in individuals 60 years or younger included age closer to 60 years, use of coal or wood as a main source of cooking fuel, body mass index of 22 kg/m2 or less, unexplained epigastric pain, and rapid ingestion of meals. In subjects older than 60 years, SDA associated with age, family history of ESCC, cigarette smoking, body mass index of 22 kg/m2 or less, pesticide exposure, irregular eating habits, intake of high temperature foods, rapid ingestion of meals, and ingestion of leftover food in summer months. Use of our model in screening could have allowed 27% of subjects 60 years or younger and 9% of subjects older than 60 years to avoid endoscopy without missing SDAs. This means that approximately 2500 of endoscopies in total (16.6%) could have been avoided. CONCLUSIONS: We developed a low-cost, easy-to-use model to identify individuals at risk for severe dysplasia or cancer of the esophagus living in a region of China with a high risk of ESCC. This model might be used to select individuals and groups of persons who should undergo endoscopy analysis for esophageal cancer.