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Purpose: The purpose of this study was to perform a comprehensive systematic review of the literature on voice-related patient-reported outcome (PRO) measures in adults and to evaluate each instrument for the presence of important measurement properties. Method: MEDLINE, the Cumulative Index of Nursing and Allied Health Literature, and the Health and Psychosocial Instrument databases were searched using relevant vocabulary terms and key terms related to PRO measures and voice. Inclusion and exclusion criteria were developed in consultation with an expert panel. Three independent investigators assessed study methodology using criteria developed a priori. Measurement properties were examined and entered into evidence tables. Results: A total of 3,744 studies assessing voice-related constructs were identified. This list was narrowed to 32 PRO measures on the basis of predetermined inclusion and exclusion criteria. Questionnaire measurement properties varied widely. Important thematic deficiencies were apparent: (a) lack of patient involvement in the item development process, (b) lack of robust construct validity, and (c) lack of clear interpretability and scaling. Conclusions: PRO measures are a principal means of evaluating treatment effectiveness in voice-related conditions. Despite their prominence, available PRO measures have disparate methodological rigor. Care must be taken to understand the psychometric and measurement properties and the applicability of PRO measures before advocating for their use in clinical or research applications.

Purpose: The purpose of this study was to perform a comprehensive systematic review of the literature on voice-related patient-reported outcome (PRO) measures in adults and to evaluate each instrument for the presence of important measurement properties. Method: MEDLINE, the Cumulative Index of Nursing and Allied Health Literature, and the Health and Psychosocial Instrument databases were searched using relevant vocabulary terms and key terms related to PRO measures and voice. Inclusion and exclusion criteria were developed in consultation with an expert panel. Three independent investigators assessed study methodology using criteria developed a priori. Measurement properties were examined and entered into evidence tables. Results: A total of 3,744 studies assessing voice-related constructs were identified. This list was narrowed to 32 PRO measures on the basis of predetermined inclusion and exclusion criteria. Questionnaire measurement properties varied widely. Important thematic deficiencies were apparent: (a) lack of patient involvement in the item development process, (b) lack of robust construct validity, and (c) lack of clear interpretability and scaling. Conclusions: PRO measures are a principal means of evaluating treatment effectiveness in voice-related conditions. Despite their prominence, available PRO measures have disparate methodological rigor. Care must be taken to understand the psychometric and measurement properties and the applicability of PRO measures before advocating for their use in clinical or research applications., Voice disorders have an estimated point prevalence of 20 million (0.98%) in the United States (Cohen, Kim, Roy, Asche, & Courey, 2012b; Roy, Merrill, Gray, & Smith, 2005). Annual direct [...]

The objective is to estimate prevalence of parent-reported depression or anxiety among children with ASD, and describe parental concerns for their children. The design is Analysis of National Survey of Children's Health, 2003-2004. The participants are a national sample of 102,353 parents. 311,870 (544/100,000) parents of children ages 4-17 in the US reported that their child was diagnosed with autism. 125,809 also reported that their child had depression or anxiety (219/100,000). These parents report substantially higher concerns about their child's self-esteem, academic success, and potential to be bullied. Clinicians should take into account that children with ASD may face increased risk of depression or anxiety in adolescence. Coordinated care addressing social and emotional health in addition to clinical attention is important in this population.

Objective: To develop and validate algorithms for predicting 30-day fatal and nonfatal opioid-related overdose using statewide data sources including prescription drug monitoring program data, Hospital Discharge Data System data, and Tennessee (TN) vital records. Current overdose prevention efforts in TN rely on descriptive and retrospective analyses without prognostication.Materials and Methods: Study data included 3 041 668 TN patients with 71 479 191 controlled substance prescriptions from 2012 to 2017. Statewide data and socioeconomic indicators were used to train, ensemble, and calibrate 10 nonparametric "weak learner" models. Validation was performed using area under the receiver operating curve (AUROC), area under the precision recall curve, risk concentration, and Spiegelhalter z-test statistic.Results: Within 30 days, 2574 fatal overdoses occurred after 4912 prescriptions (0.0069%) and 8455 nonfatal overdoses occurred after 19 460 prescriptions (0.027%). Discrimination and calibration improved after ensembling (AUROC: 0.79-0.83; Spiegelhalter P value: 0-.12). Risk concentration captured 47-52% of cases in the top quantiles of predicted probabilities.Discussion: Partitioning and ensembling enabled all study data to be used given computational limits and helped mediate case imbalance. Predicting risk at the prescription level can aggregate risk to the patient, provider, pharmacy, county, and regional levels. Implementing these models into Tennessee Department of Health systems might enable more granular risk quantification. Prospective validation with more recent data is needed.Conclusion: Predicting opioid-related overdose risk at statewide scales remains difficult and models like these, which required a partnership between an academic institution and state health agency to develop, may complement traditional epidemiological methods of risk identification and inform public health decisions. [ABSTRACT FROM AUTHOR]

The article offers information on COVID-19 pandemic has challenged the U.S. is existing national public health and laboratory infrastructure. Topics include the central to fighting the pandemic is accurate and timely reporting of COVID-19 tests and case patients, and the data complexity has resulted in reporting inaccuracies and delays at all levels of government.