Cancer tracking system improves timeliness of liver cancer care at a Veterans Hospital: A comparison of cohorts before and after implementation of an automated care coordination tool.

INTRODUCTION: Hepatocellular carcinoma (HCC) requires complex care coordination. Patient safety may be compromised with untimely follow-up of abnormal liver imaging. This study evaluated whether an electronic case-finding and tracking system improved timeliness of HCC care. METHODS: An electronic medical record-linked abnormal imaging identification and tracking system was implemented at a Veterans Affairs Hospital. This system reviews all liver radiology reports, generates a queue of abnormal cases for review, and maintains a queue of cancer care events with due dates and automated reminders. This is a pre-/post-intervention cohort study to evaluate whether implementation of this tracking system reduced time between HCC diagnosis and treatment and time between first liver image suspicious for HCC, specialty care, diagnosis, and treatment at a Veterans Hospital. Patients diagnosed with HCC in the 37 months before tracking system implementation were compared to patients diagnosed with HCC in the 71 months after its implementation. Linear regression was used to calculate mean change in relevant intervals of care adjusted for age, race, ethnicity, BCLC stage, and indication for first suspicious image. RESULTS: There were 60 patients pre-intervention and 127 post-intervention. In the post-intervention group, adjusted mean time from diagnosis to treatment was 36 days shorter (p = 0.007), time from imaging to diagnosis 51 days shorter (p = 0.21), and time from imaging to treatment 87 days shorter (p = 0.05). Patients whose imaging was performed for HCC screening had the greatest improvement in time from diagnosis to treatment (63 days, p = 0.02) and from first suspicious image to treatment (179 days, p = 0.03). The post-intervention group also had a greater proportion of HCC diagnosed at earlier BCLC stages (p<0.03). CONCLUSIONS: The tracking system improved timeliness of HCC diagnosis and treatment and may be useful for improving HCC care delivery, including in health systems already implementing HCC screening.

Identification of Quantifiable Predictors of Relapse in Patients with Alcohol-Associated Liver Disease.

Abstinence in patients with alcohol-associated liver disease (ALD) reduces mortality. Most predictors of relapse are not quantifiable, preventing objective analysis of relapse risk and targeted intervention to improve clinical outcomes. We prospectively enrolled patients with ALD from November 2016 to December 2019 and administered a survey with two previously published scales to assess insight into alcohol-use disorder (Hanil Alcohol Insight Scale [HAIS]) and social support (Community Assessment Inventory Scale [CAIS]). Relapse was assessed using surveys and metabolite testing. Unadjusted and prespecified adjusted regression analyses identified predictors of relapse. We enrolled 81% of eligible patients (n = 136), of whom 58 had follow-up data available at the time of analysis. Over a median follow-up of 1 year (interquartile range: 0.5-1.4), 10 patients relapsed (17%). Patients who relapsed were more likely to continue drinking despite either a diagnosis of liver disease or a decompensating event, and were less likely to have been transplanted (all P < 0.05). In unadjusted regression, the HAIS and the "support inside the home" subcategory of the CAIS were predictive of relapse, with odds ratio (OR) = 0.84 (95% confidence interval 0.72-0.97) and 0.85 (0.74-0.97). In adjusted regression, the HAIS was no longer significant, with adjusted OR = 0.70 (0.49-1.00, P = 0.05), whereas the "support inside the home' subcategory of CAIS remained significant, with adjusted OR = 0.69 (0.51-0.92, P = 0.01). Conclusions: Risk factors for relapse in patients with ALD were identified and quantified prospectively, suggesting opportunities to objectively identify patients at risk for relapse as well as to intervene to prevent relapse.

Patient Perspectives of High-Quality Care on the Liver Transplant Waiting List: A Qualitative Study.

The prevalence of advanced liver disease and listing for liver transplantation is increasing. Prior assessments of quality of care neither incorporate nor emphasize the patient perspective on quality of care, which may impact clinical outcomes. Our aim was to identify patients' perceptions on what constitutes high quality of care, comparing the findings to existing frameworks and assessments to determine if a patient-derived tool assessing quality of care could facilitate efforts to improve health care. We conducted semistructured interviews of patients wait-listed for liver transplantation, asking patients to describe the quality of their health care with a specific focus on how coordination, communication, office visits, hospitalizations, and cost affect their perceptions of the quality of their care. Data collection conducted concurrently with analyses determined emerging themes and saturation. Themes were mapped to an existing quality-of-care conceptual framework. Qualitative analysis revealed thematic saturation after 15 interviews, and an additional 15 interviews were analyzed that confirmed thematic saturation, maximizing the strength of the results. The 30 patients had a median age of 56 years (range, 32-72 years) and included 15 (50%) men. Although patients believed they received a high quality of care, which was substantiated on current existing measures, a qualitative analysis suggested that patient priorities emphasized 5 themes not currently assessed: managing expectations, providing education, responding to patient needs, executing the care plan efficiently, and utilizing interdisciplinary communication and coordination of care. In conclusion, transplant candidates perceived 5 themes that constitute quality of care, and existing quality-of-care measures do not assess these domains, suggesting a role for creating a patient-derived quality-of-care tool to improve health care and clinical outcomes.