The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Pattern of mortality in a sample of Maryland residents with severe mental illness.

In a cohort of Maryland Medicaid recipients with severe mental illness followed from 1993-2001, we compared mortality with rates in the Maryland general population including race and gender subgroups. Persons with severe mental illness died at a mean age of 51.8 years, with a standardized mortality ratio of 3.7 (95%CI, 3.6-3.7).

Asthma in older patients: factors associated with hospitalization.

BACKGROUND: Although older adults (> or =65 years) with asthma have higher rates of hospitalization and death from asthma than younger adults, the reasons for this are not known. OBJECTIVES: To determine whether patterns of care were less favorable for older than younger adults with asthma and to assess whether patient characteristics such as symptom severity and comorbid illnesses explain the higher rate of hospitalization. METHODS: Prospective cohort study of 6590 adults with asthma in 15 managed care organizations in the United States. Participants completed a survey of demographics, symptoms, health status, comorbid illnesses, treatment, access to care, self-care knowledge, physician specialty, and health care use. RESULTS: Among 6590 adults with asthma, 554 (8%) were 65 years or older and 1942 (29%) were aged 18 to 34 years. Older patients were more likely than younger patients to be men, white, non-Hispanic, and less educated. At baseline, older patients reported a greater frequency of asthma-related symptoms, such as daily cough (36% vs 22%, P<.001) and wheezing (27% vs 22%, P<.002). They were also more likely to report comorbid conditions, such as sinusitis (50% vs 38%), heartburn (35% vs 23%), chronic bronchitis (43% vs 16%), emphysema (19% vs 1%), congestive heart failure (8% vs 1%), and history of smoking (54% vs 34%) (all P<.001). Care appeared to be better for the older patients compared with the younger, including more frequent use of inhaled corticosteroids, greater self-management knowledge, and fewer reported barriers to care. In the follow-up year, older patients were approximately twice as likely to be hospitalized (14%) than were younger patients (7%) (P<.001). In multivariate analysis, however, older age was not predictive of future hospitalization (odds ratio, 1.05; 95% confidence interval, 0.68-1.61), after adjustment for sex, ethnicity, education, baseline asthma symptoms, health status, comorbid illnesses, and tobacco use. Factors independently associated with hospitalization included being female, nonwhite, less educated, and less physically healthy, and more frequent asthma symptoms. CONCLUSIONS: Although the older adults with asthma had greater respiratory symptoms and more comorbidity than their younger counterparts, chronologic age was not an independent risk for hospitalization. Appropriate care for older adults with asthma should address asthma symptoms and other chronic conditions.

Gaps in asthma care of the oldest adults.

OBJECTIVES: To assess the adequacy of asthma care reported by a group of older adults who were subsequently hospitalized for their asthma. DESIGN: Prospective cohort study. SETTING: Fifteen managed care organizations in the United States. PARTICIPANTS: Adults with asthma, enrolled in managed care. MEASUREMENTS: Patient survey of demographics, asthma symptoms, health status, comorbid conditions, asthma treatment, asthma knowledge, and asthma self-management at baseline and 1 year later. RESULTS: Of 254 older adults, 38 (15.0%) reported being hospitalized for asthma at 1-year follow-up. Of these, 22.9% owned a peak flow meter (PFM). Of those with allergies, only about half (56.0%) had been told how to avoid allergens and had been referred for formal allergy testing. Adrenergic drug use was high in some patients. Nearly all (94.6%) used beta-agonist metered-dose inhalers (MDIs); 60.0% reported theophylline; 17.1% reported beta-agonist MDI overuse (>8 puffs per day); 10.5% reported beta-agonist MDI over-use and theophylline; and 13.2% reported both beta-agonist MDI over-use and oral beta-agonist use. Only 18.4% of respondents rated their overall asthma attack knowledge as excellent. Compared with nonhospitalized older adults, the hospitalized group reported care that was more consistent with guidelines, but also higher rates of potentially toxic combinations of adrenergic drugs. Compared with younger hospitalized adults, older hospitalized adults had clear deficiencies, including lower use of PFMs (55.3% vs 22.9%) and worse asthma self-management knowledge. CONCLUSIONS: There are many opportunities to improve both the pharmacologic and non-pharmacologic care of older adults with asthma. Overuse of and potentially toxic combinations of inhaled and oral sympathomimetics should probably be avoided. Older asthmatics may also benefit from increased specialty referral, PFM use, allergy testing, and asthma teaching.