Protein intake distribution pattern does not affect anabolic response, lean body mass, muscle strength or function over 8 weeks in older adults: A randomized-controlled trial.

BACKGROUND & AIMS: In our recent acute metabolic study, we found no differences in the anabolic response to differing patterns of dietary protein intake. To confirm this in a chronic study, we investigated the effects of protein distribution pattern on functional outcomes and protein kinetics in older adults over 8 weeks. METHODS: To determine chronic effects of protein intake pattern at 1.1 g protein/kg/day in mixed meals on lean body mass (LBM), functional outcomes, whole body protein kinetics and muscle protein fractional synthesis rate (MPS) over 8-week respective dietary intervention, fourteen older subjects were randomly divided into either EVEN or UNVEN group. The UNEVEN group (n = 7) consumed the majority of dietary protein with dinner (UNEVEN, 15/20/65%; breakfast, lunch, dinner), while the EVEN group (n = 7) consumed dietary protein evenly throughout the day (EVEN: 33/33/33%). RESULTS: We found no significant differences in LBM, muscle strength, and other functional outcomes between EVEN and UNEVEN before and after 8-week intervention. Consistent with these functional outcomes, we did not find significant differences in the 20-h integrated whole body protein kinetics [net protein balance (NB), protein synthesis (PS), and breakdown (PB)] above basal states and MPS between EVEN and UNEVEN intake patterns. CONCLUSIONS: We conclude that over an 8-week intervention period, the protein intake distribution pattern in mixed meals does not play an important role in determining anabolic response, muscle strength, or functional outcomes. This trial is registered at https://ClinicalTrials.gov as NCT02787889.

Association between process measures and mortality in individuals with opioid use disorders.

BACKGROUND: Individuals with opioid use disorders have high rates of mortality relative to the general population. The relationship between treatment process and mortality is unknown. AIM: To examine the association between 7 process measures and 12- and 24-month mortality. METHODS: Retrospective cohort study of patients with opioid use disorders who received care from the Veterans Administration between October 2006 and September 2007. Logistic regression models were used to examine the association between 12 and 24-month mortality and 7 patient-level process measures, while risk-adjusting for patient characteristics. Process measures included quarterly physician visits, any opioid use disorder pharmacotherapy, continuous pharmacotherapy, psychosocial treatment, Hepatitis B/C and HIV screening, and no prescriptions for benzodiazepines or opioids. We conducted sensitivity analyses to examine the robustness of our findings to an unobserved confounder. RESULTS: Among individuals with opioid use disorders, not being prescribed opioids or benzodiazepines, receipt of any psychosocial treatment and quarterly physician visits were significantly associated with lower mortality at both 12 and 24 months, but Hepatitis and HIV screening, and measures related to opioid use disorder pharmacotherapy were not. Sensitivity analyses indicated that the difference in the prevalence of an unobserved confounder would have to be unrealistically large given the observed data, or there would need to be a large effect of the confounder, to render these findings non-significant. CONCLUSIONS AND RELEVANCE: This is the first study to show an association between process measures and mortality in patients with opioid use disorders and provides initial evidence for their use as quality measures.

Association Between Quality Measures and Perceptions of Care Among Patients With Substance Use Disorders.

OBJECTIVE: This study evaluated whether eight quality measures assessing care for patients with a substance use disorder were associated with patient perceptions of their care, including perceived improvement and global rating of behavioral health care. METHODS: Secondary data analyses were conducted of administrative and patient survey data collected as part of a national evaluation of Veterans Health Administration (VHA) mental health and substance use services. Data for patients who received care for substance use disorders during October 2006-September 2007 paid for by the VHA and who participated in a telephone interview about their care (N=2,074) were included. Measures of patient perceptions of care included perceived improvement and global rating of behavioral health care. Eight quality measures based on administrative data assessed initiation and engagement in substance use disorder care, receipt of psychotherapy or psychosocial treatment, and follow-up after hospitalization. Regression models were conducted in which each quality measure predicted each outcome, with analyses adjusting for patient characteristics and functioning. RESULTS: Treatment engagement, two measures of psychotherapy receipt, and psychosocial treatment were significantly associated with perceived improvement, whereas treatment initiation and follow-up after hospitalization (seven and 30 days) were not. Psychotherapy receipt and follow-up after hospitalization (seven and 30 days) were significantly associated with global rating of behavioral health care. CONCLUSIONS: Some quality measures assessing care for substance use disorders were significantly associated with patient perceptions of care. Results provide additional support for these quality measures and suggest that patient perceptions of care are an important outcome in assessing care.

Association Between Process-Based Quality Indicators and Mortality for Patients With Substance Use Disorders.

OBJECTIVE: Substance use disorders (SUDs) are associated with elevated rates of mortality. Little is known about whether receiving appropriate care is associated with lower mortality for patients with SUDs. This study examined the association between the receipt of care for SUDs and subsequent 12- and 24-month mortality. METHOD: This was a retrospective cohort study of veterans who received care for SUDs paid for by the Veterans Health Administration during October 2006- September 2007 (n = 339,966). Logistic regressions were used to examine the association between quality indicators measuring receipt of care and mortality while controlling for patient characteristics and facility service area. RESULTS: There were four quality indicators: SUD treatment initiation, SUD treatment engagement, SUD-related psychosocial treatment, and SUD-related psychotherapy. Outcomes measured were mortality 12 and 24 months after the end of the observation period, through September 2009. Receipt of indicated care ranged from 26.5% to 58.6%, and 12- and 24-month mortality rates were 3% and 6%, respectively. Adjusted odds ratios [95% CI] of 12-month mortality by indicator were: initiation, 0.86 [0.79, 0.93]; engagement, 0.65 [0.58, 0.74]; psychosocial treatment, 0.88 [0.84, 0.92]; and psychotherapy, 0.84 [0.79, 0.89]. For the 24-month mortality outcome, adjusted odds ratios were: initiation, 0.88 [0.84, 0.93]; engagement, 0.78 [0.71, 0.85]; psychosocial treatment, 0.91 [0.88, 0.94]; and psychotherapy, 0.87 [0.83, 0.91]. Results were similar when controlling for facility service area. CONCLUSIONS: Receiving appropriate care is associated with lower mortality for patients with SUDs. Significant overall and within-facility service area associations of quality indicators and mortality support their use in encouraging providers to deliver the indicated care. These indicators should be prioritized above others lacking comparably strong process-outcome associations.

Association Between Quality Measures and Mortality in Individuals With Co-Occurring Mental Health and Substance Use Disorders.

IMPORTANCE: Individuals with co-occurring mental and substance use disorders have increased rates of mortality relative to the general population. The relationship between measures of treatment quality and mortality for these individuals is unknown. OBJECTIVE: To examine the association between 5 quality measures and 12- and 24-month mortality. DESIGN, SETTING AND PARTICIPANTS: Retrospective cohort study of patients with co-occurring mental illness (schizophrenia, bipolar disorder, post-traumatic stress disorder and major depression) and substance use disorders who received care for these disorders paid for by the Veterans Administration between October 2006 and September 2007. Logistic regression models were used to examine the association between 12 and 24-month mortality and 5 patient-level quality measures, while risk-adjusting for patient characteristics. Quality measures included receipt of psychosocial treatment, receipt of psychotherapy, treatment initiation and engagement, and a measure of continuity of care. We also examined the relationship between number of diagnosis-related outpatient visits and mortality, and conducted sensitivity analyses to examine the robustness of our findings to an unobserved confounder. MAIN OUTCOMES MEASURE: Mortality 12 and 24 months after the end of the observation period. RESULTS: All measures except for treatment engagement at 24 months were significantly associated with lower mortality at both 12 and 24 months. At 12 months, receiving any psychosocial treatment was associated with a 21% decrease in mortality; psychotherapy, a 22% decrease; treatment initiation, a 15% decrease, treatment engagement, a 31% decrease; and quarterly, diagnosis-related visits a 28% decrease. Increasing numbers of visits were associated with decreasing mortality. Sensitivity analyses indicated that the difference in the prevalence of an unobserved confounder would have to be unrealistically large given the observed data, or there would need to be a large effect of an unobserved confounder, to render these findings non-significant. CONCLUSIONS AND RELEVANCE: This is the first study to show an association between process-based quality measures and mortality in patients with co-occurring mental and substance use disorders, and provides initial support for the predictive validity of the measures. By devising strategies to improve performance on these measures, health care systems may be able to decrease the mortality of this vulnerable population.