2019
DOI: 10.1007/s11920-019-0986-3
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National Child Mental Health Quality Measures: Adherence Rates and Extent of Evidence for Clinical Validity

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Cited by 11 publications
(14 citation statements)
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“…In our analysis of Medicaid data from 11 states, we found that a majority of children aged 6 to 17 years had any mental health outpatient follow-up, with higher rates than previously found for this national HEDIS quality measure. 7,8 Just under two-thirds had follow-up within 7 days, and .80% had follow-up within 30 days. Lower rates of follow-up were seen for certain groups, including non-Hispanic or non-Latino black children and those children discharged from a general medical or surgical unit for mental health illness as opposed to a psychiatric unit or hospital.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…In our analysis of Medicaid data from 11 states, we found that a majority of children aged 6 to 17 years had any mental health outpatient follow-up, with higher rates than previously found for this national HEDIS quality measure. 7,8 Just under two-thirds had follow-up within 7 days, and .80% had follow-up within 30 days. Lower rates of follow-up were seen for certain groups, including non-Hispanic or non-Latino black children and those children discharged from a general medical or surgical unit for mental health illness as opposed to a psychiatric unit or hospital.…”
Section: Discussionmentioning
confidence: 98%
“…7 Rates of performance nationally for this measure range from 47.5% of children and youth hospitalized for a mental illness having a follow-up visit within 7 days of hospital discharge to 66.7% having at least one follow-up visit within 30 days of discharge. 7,8 However, there are few studies on how this quality measure's performance varies by race and/or ethnicity and socioeconomic, clinical, or hospital characteristics and whether this adherence to the quality measure is associated with improved patient outcomes. Answering these questions can inform efforts to improve quality, identifying patients at higher risk of poor-quality care and potentially worse outcomes.…”
mentioning
confidence: 99%
“…A recent review of the limited evidence on the use of telehealth for psychiatric emergencies suggested that it can be cost-effective, reduce admission rates and length of hospitalisation, increase confidence of professionals, has validity similar to face-to-face care and has been evidenced as satisfactory among patients and practitioners. 9 The review also showed that implementation to date has primarily been areas with higher needs, such as rural locations or in large emergency departments. However, evidence for treatment of patients with severe mental illness is scarce, and many services exclude patients who are suicidal.…”
Section: The Evidence and Ethics Of Telepsychiatry For Detentionmentioning
confidence: 99%
“…However, evidence for treatment of patients with severe mental illness is scarce, and many services exclude patients who are suicidal. 9 Furthermore, a systematic review of trials of telehealth services for individuals with severe mental illness included interventions such as medication adherence, patient education and self-management. The authors concluded that ‘not all technology is effective, depending on the outcome of interest’ and some interventions did not have better outcomes than nurse-based interventions and had lower acceptability.…”
Section: The Evidence and Ethics Of Telepsychiatry For Detentionmentioning
confidence: 99%
“…Quality indicators or performance measures exist to, ideally, guide quality improvement efforts. Nationally recognized quality measures include indicators from the National Committee for Quality Assurance's Healthcare Effectiveness Data and Information Set (HEDIS); exemplars include follow-up care for medication treatment for youth with attention deficit hyperactivity disorder and continuity of care following hospitalization (Zima, Edgcomb, & Shugarman, 2019). Yet, major critiques of existing indicators include challenges with feasibility, insufficient data supporting predictive validity for outcome improvement, and concerns that they set too low a threshold for quality care (Hayward, 2007;Pincus, Scholle, Spaeth-Rublee, Hepner, & Brown, 2016).…”
Section: Quality Indicatorsmentioning
confidence: 99%