To keep patients with COPD out of hospital, look beyond the lungs

Exploring and reconciling discordance between documented and preferred resuscitation preferences for hospitalized patients: a quality improvement study

PURPOSE

A discordance, predominantly towards overtreatment, exists between patients' expressed preferences for life-sustaining interventions and those documented at hospital admission. This quality improvement study sought to assess this discordance at our institution. Secondary objectives were to explore if internal medicine (IM) teams could identify patients who might benefit from further conversations and if the discordance can be reconciled in real-time.

METHODS

Two registered nurses were incorporated into IM teams at a tertiary hospital to conduct resuscitation preference conversations with inpatients either specifically referred to them (group I, n = 165) or randomly selected (group II, n = 164) from 1 August 2016 to 31 August 2018. Resuscitation preferences were documented and communicated to teams prompting revised resuscitation orders where appropriate. Multivariable logistic regression was used to determine potential risk factors for discordance.

RESULTS

Three hundred and twenty-nine patients were evaluated with a mean (standard deviation) age of 80 (12) and Charlson Comorbidity Index Score of 6.8 (2.6). Discordance was identified in 63/165 (38%) and 27/164 (16%) patients in groups I and II respectively. 42/194 patients (21%) did not want cardiopulmonary resuscitation (CPR) and 15/36 (41%) did not prefer intensive care unit (ICU) admission, despite these having been indicated in their initial preferences. 93% (84/90) of patients with discordance preferred de-escalation of care. Discordance was reconciled in 77% (69/90) of patients.

CONCLUSION

Hospitalized patients may have preferences documented for CPR and ICU interventions contrary to their preferences. Trained nurses can identify inpatients who would benefit from further in-depth resuscitation preference conversations. Once identified, discordance can be reconciled during the index admission.

The Vancouver Community Analytics Tool (VCAT): Software Enabling Operationalization of the Building Blocks of High-Performing Primary Care at Community Health Centers in British Columbia, Canada

BACKGROUND

Community health centers (CHCs) in British Columbia, Canada, are using a data-driven approach to enable functions related to the design, organization, management, delivery, and evaluation of primary health care services for complex populations.

METHODS

Descriptive study leveraging case studies from 4 CHCs in Vancouver, Canada, to provide an overview and examples of the functions and outputs of the Vancouver Community Analytics Tool (VCAT). Quantitative data were derived from electronic medical record data and regional emergency department data. Data were analyzed and reported by the VCAT software.

RESULTS

VCAT is a health system modeling, analytics, and reporting application suite that enables operationalization of the Ten Building Blocks of High-Performing Primary Care framework via 1) creation of a virtual patient record, 2) modeling and measurement of epidemiological profiles, 3) population management and quality improvement, 4) measurement and assessment of biopsychosocial complexity, 5) empanelment, and 6) design and optimization of team-based care. The software captures data on patient pathways and service operations for over 300 service sites, including community health centers, detox centers, and emergency departments. The software integrates data on service utilization and myriad other variables for over 750,000 individuals.

DISCUSSION

Using case studies, the article describes how the software helps solve practical clinical, organizational, and performance issues facing CHCs.

CONCLUSIONS

VCAT models, analyzes, and visualizes the complexity profiles and service utilization patterns of complex populations, thereby enabling system administrators and clinicians to improve system performance and quality of care. The software represents a significant advance for health services research and is transforming the organization, delivery, and evaluation of primary health care services.