Post-Acute Care Service use in Lung Cancer Patients

Purpose: Lung cancer patients experience functional deconditioning secondary to their underlying cancer and treatment yet rehabilitation service use remains low. The goal of this study is to compare post-acute care service use in lung cancer patients admitted to a metropolitan academic medical center. Methods: Adult lung cancer patients admitted from January 1, 2017 to August 31, 2018 with a diagnosis of lung cancer based on International Classification of Diseases 10, C34.0-C34.9, were included in this study. Patient characteristics including age, gender, race, marital status, functional status on admission, length of stay, and number of comorbidities were compared based on discharge setting. Results: 1,139 lung cancer patients were included in our study. The majority of patients discharged home with home care (51%) followed by home without services (35%), skilled nursing facilities (SNF) (10%) and acute inpatient rehabilitation facilities (IRF) (4%). 44% (498) of patients were primarily admitted for their lung cancer diagnosis. In unadjusted analyses, patients who discharged to SNF compared to home were more likely to be older, black, unmarried, live alone and have died during the study period. Patients who discharged to IRF had longer acute care hospitalization length of stays. In adjusted analyses, age, number of concurrent comorbidities and length of stay significantly correlated with discharge location. Conclusion: Lung cancer patients are unlikely to be discharged to a post-acute care facility after an acute hospitalization. Rehabilitation service use differs by sociodemographic factors, concurrent medical history and functional status. Future study is needed to better understand why these differences in discharge setting persists.

Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data

Background This study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada. Methods We linked multiple cycles (2005–2006, 2007–2008, 2009–2010, 2011–2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship. Results Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions. Conclusions Strong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service use in those with multimorbidity. The study’s results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.

Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to administrative data

Background: This study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada. Methods: We linked multiple cycles (2005-2006, 2007-2008, 2009-2010, 2011-2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship.Results: Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions. Conclusions: Strong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service in those with multimorbidity. The study’s results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.

COVID-19: mobilising CT as a frontline management tool

As the COVID-19 pandemic has spread across the globe, questions have arisen about the approach healthcare systems should adopt in order to optimally manage patient influx. With a focus on the impact of COVID-19 on the NHS, we describe the frontline experience of a severely affected hospital in close proximity to London. We highlight a protocol-driven approach, incorporating the use of CT in the rapid triage, assessment and cohorting of patients, in an environment where there was a lack of readily available, onsite RT-PCR testing facilities. Furthermore, the effects of the protocol on the effective streamlining of patient flow within the hospital are discussed, as are the resultant improvements in clinical management decisions within the acute care service. This model may help other healthcare systems in managing this pandemic whilst assessing their own needs and resources.

Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data

Background: This study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada.Methods: We linked multiple cycles (2005-2006, 2007-2008, 2009-2010, 2011-2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship.Results: Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions.Conclusions: Strong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service in those with multimorbidity. The study’s results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.

Effect of socio-demographic factors on the association between multimorbidity and acute care service use: a population-based retrospective cohort study

Background: This study explores how a broad-range of socio-demographic factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) among older adults in Ontario, Canada. Methods: We linked multiple cycles (2005-2006, 2007-2008, 2009-2010, 2011-2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older in Ontario. Twelve chronic conditions identified from the administrative data were used to estimate multimorbidity (number of chronic conditions). We identified acute care service use over one year from the administrative data. We examined the relationship between multimorbidity and service use stratified by a comprehensive range of socio-demographic variables available from the CCHS. Logistic and Poisson multivariable regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in shaping this relationship. Results: Of the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios for both services were higher at all levels of multimorbidity for men, older age groups, and those with lower annual household income. Rurality and immigrant status appeared to impact emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and most socio-demographic variables remained significant predictors of acute care service use in the multivariable regressions. Conclusions: Strong evidence links multimorbidity with increased acute care service use. This study showed that socio-demographic factors did not modify the relationship between multimorbidity and acute care service use, they were independently associated with acute care service use. Acute care service use was associated with perceived physical and mental health status as well as psychosocial factors, suggesting that optimizing service use requires attention to self-reported health status and social determinants, with programs that are multifaceted and integrated across the health and social service sectors.