Assessment of an Interactive Digital Health-Based Self-management Program to Reduce Hospitalizations Among Patients With Multiple Chronic Diseases: A Randomized Clinical Trial.

Importance: Digital health programs may have the potential to prevent hospitalizations among patients with chronic diseases by supporting patient self-management, symptom monitoring, and coordinated care. Objective: To compare the effect of an internet-based self-management and symptom monitoring program targeted to patients with 2 or more chronic diseases (internet chronic disease management [CDM]) with usual care on hospitalizations over a 2-year period. Design, Setting, and Participants: This single-blinded randomized clinical trial included patients with multiple chronic diseases from 71 primary care clinics in small urban and rural areas throughout British Columbia, Canada. Recruitment occurred between October 1, 2011, and March 23, 2015. A volunteer sample of 456 patients was screened for eligibility. Inclusion criteria included daily internet access, age older than 19 years, fluency in English, and the presence of 2 or more of the following 5 conditions: diabetes, heart failure, ischemic heart disease, chronic kidney disease, or chronic obstructive pulmonary disease. A total of 230 patients consented to participate and were randomized to receive either the internet CDM intervention (n = 117) or usual care (n = 113). One participant in the internet CDM group withdrew from the study after randomization, resulting in 229 participants for whom data on the primary outcome were available. Interventions: Internet-based self-management program using telephone nursing supports and integration within primary care compared with usual care over a 2-year period. Main Outcomes and Measures: The primary outcome was all-cause hospitalizations at 2 years. Secondary outcomes included hospital length of stay, quality of life, self-management, and social support. Additional outcomes included the number of participants with at least 1 hospitalization, the number of participants who experienced a composite outcome of all-cause hospitalization or death, the time to first hospitalization, and the number of in-hospital days. Results: Among 229 participants included in the analysis, the mean (SD) age was 70.5 (9.1) years, and 141 participants (61.6%) were male; data on race and ethnicity were not collected because there was no planned analysis of these variables. The internet CDM group had 25 fewer hospitalizations compared with the usual care group (56 hospitalizations vs 81 hospitalizations, respectively [30.9% reduction]; relative risk [RR], 0.68; 95% CI, 0.43-1.10; P = .12). The intervention group also had 229 fewer in-hospital days compared with the usual care group (282 days vs 511 days, respectively; RR, 0.52; 95% CI, 0.24-1.10; P = .09). Components of self-management and social support improved in the intervention group. Fewer participants in the internet CDM vs usual care group had at least 1 hospitalization (32 of 116 individuals [27.6%] vs 46 of 113 individuals [40.7%]; odds ratio [OR], 0.55; 95% CI, 0.31-0.96; P = .03) or experienced the composite outcome of all-cause hospitalization or death (37 of 116 individuals [31.9%] vs 51 of 113 individuals [45.1%]; OR, 0.57; 95% CI, 0.33-0.98; P = .04). Participants in the internet CDM group had a lower risk of time to first hospitalization (hazard ratio, 0.62; 95% CI, 0.39-0.97; P = .04) than those in the usual care group. Conclusions and Relevance: In this study, an internet-based self-management program did not result in a significant reduction in hospitalization. However, fewer participants in the intervention group were admitted to the hospital or experienced the composite outcome of all-cause hospitalization or death. These findings suggest the internet CDM program has the potential to augment primary care among patients with multiple chronic diseases. Trial Registration: ClinicalTrials.gov Identifier: NCT01342263.

Residential Stability Reduces Unmet Health Care Needs and Emergency Department Utilization among a Cohort of Homeless and Vulnerably Housed Persons in Canada.

This study examined the association of housing status over time with unmet physical health care needs and emergency department utilization among homeless and vulnerably housed persons in Canada. Homeless and vulnerably housed individuals completed interviewer-administered surveys on housing, unmet physical health care needs, health care utilization, sociodemographic characteristics, substance use, and health conditions at baseline and annually for 4 years. Generalized logistic mixed effects regression models examined the association of residential stability with unmet physical health care needs and emergency department utilization, adjusting for potential confounders. Participants were from Vancouver (n = 387), Toronto (n = 390), and Ottawa (n = 396). Residential stability was associated with lower odds of having unmet physical health needs (adjusted odds ratio (AOR), 0.82; 95 % confidence interval (CI), 0.67, 0.98) and emergency department utilization (AOR, 0.74; 95 % CI, 0.62, 0.88) over the 4-year follow-up period, after adjusting for potential confounders. Residential stability is associated with fewer unmet physical health care needs and lower emergency department utilization among homeless and vulnerably housed individuals. These findings highlight the need to address access to stable housing as a significant determinant of health disparities.

Implementation of a quality improvement initiative to reduce daily chest radiographs in the intensive care unit.

OBJECTIVE: To reduce the number of routine chest radiographs (CXRs) done in a tertiary care intensive care unit (ICU). METHODS: Using a quality improvement approach, we measured the number of CXRs done per patient-day before (15 June 2010-15 June 2011) and after (15 June 2011-15 June 2012) a multipronged intervention in a 15-bed medical-surgical ICU in a 350-bed tertiary care teaching hospital. We studied a total of 1492 patients who were admitted to this ICU-738 patients during the preintervention period and 754 patients during the postintervention period. Interventions were education for the ICU house staff, developing indications for routine CXRs on the computer order-entry system, and visual posters/signage to remind ICU staff that there were no indications for routine, daily CXRs. The primary outcome was the number of CXRs per patient-day, but we also measured CTs of the chest, mechanical ventilator days, length of ICU stay and ICU and hospital mortality. RESULTS: There were 0.73 CXRs per patient-day done during the preintervention period and 0.54 CXRs per patient-day done during the postintervention period, a 26% reduction. There were no differences between the periods in age, sex or severity of illness (Acute Physiology and Chronic Health Evaluation (APACHE) II score) of the patients, number of chest CTs, mechanical ventilator days, length of ICU stay and ICU or hospital mortality. CONCLUSIONS: A quality improvement that includes education, reminders of appropriate indications and computerised decision support can decrease the number of routine CXRs in an ICU.

Adjustment of intensive care unit outcomes for severity of illness and comorbidity scores.

PURPOSE: Comparison of outcomes among intensive care units (ICUs) requires adjustment for patient variables. Severity of illness scores are associated with hospital mortality, but administrative databases rarely include the elements of these scores. However, these databases include the elements of comorbidity scores. The purpose of this study was to compare the value of these scores as adjustment variables in statistical models of hospital mortality and hospital and ICU length of stay after adjustment for other covariates. MATERIALS AND METHODS: We used multivariable regression to study 1808 patients admitted to a 13-bed medical-surgical ICU in a 400-bed tertiary hospital between December 1998 and August 2003. RESULTS: For all patients, after adjusting for age, sex, major clinical category, source of admission, and socioeconomic determinants of health, we found that Acute Physiology and Chronic Health Evaluation (APACHE) II and comorbidity scores were significantly associated with hospital mortality and that comorbidity but not APACHE II was significantly associated with hospital length of stay. Separate analysis of hospital survivors and nonsurvivors showed that both APACHE II and comorbidity scores were significantly associated with hospital length of stay and APACHE II score was associated with ICU length of stay. CONCLUSION: The value of APACHE II and comorbidity scores as adjustment variables depends on the outcome and population of interest.