scholarly journals The Effects of Multiple Chronic Conditions on Adult Patient Readmissions and Hospital Finances: A Management Case Study

Author(s):  
Michael Mihailoff ◽  
Shreyasi Deb ◽  
James A. Lee ◽  
Joanne Lynn

Medicare and other payers have launched initiatives to reduce hospital utilization, especially targeting readmissions within 30 days of discharge. Hospital managers have traditionally contended that hospitals would prosper better by ignoring the penalties for high readmission rates and keeping the beds more full. We aimed to test the financial effects of admissions and readmissions by persons with and without specified chronic conditions in one regional hospital. This is a management case study with a descriptive brief report. This study was conducted at Winchester Memorial Hospital, a general hospital in a largely rural area of Virginia, 2010-2015. The total margin per admission varied by diagnosis, with the average patient diagnosed with chronic obstructive pulmonary disease, heart failure, pneumonia, or chronic renal disease having negative margins. The largest per-patient losses were in diagnostic categories coinciding with the highest readmission rates. The margin declined into substantial losses with an increasing number of chronic conditions, which also corresponded with higher readmission rates. Patients with 5 or more clinical conditions had highest risk of readmission within 30 days (24.8%) and had an average total loss of $865 per admission in 2015. The adverse financial effects worsened between 2010 and 2015. This hospital might improve its finances by investing in strategies to reduce chronic illness hospitalizations, especially those with multiple chronic conditions and high risk of readmission. These findings counter the common claim that the hospital would do better to fill beds rather than to work on efficient utilization. Other hospitals could replicate these analyses to understand their situations.

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Sangeeta Gupta

Abstract Background Increasing burden of Multiple Chronic Conditions (MCC) is a global priority. However, lack of a consistent definition makes it a challenge to compare burden of MCC amongst countries. The objective of this study is twofold: 1) to present research on the prevalence of MCC among US adults and 2) to reopen a global dialogue on potential areas for intervention including a consensus on the taxonomy of MCC. Methods Combined data for 2015 through 2018 from Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor and Surveillance system (n = 1373755) were analyzed to determine prevalence of MCC. Adults were categorized as having 0, 1, 2, or 3 or more of the following diagnosed chronic conditions: angina, arthritis, asthma, cancer, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, high blood pressure, high cholesterol, myocardial infarction (heart attack), obesity, or stroke. Results More than 61% of US adults had at least 1 of the 12 selected chronic conditions. Furthermore, 47.8 percent of US adults had MCC. For US adults with 2 chronic conditions, the MCC dyad with the highest prevalence was arthritis and obesity. Among adults with 3 or more chronic conditions, the MCC triad of arthritis, asthma, and obesity was the most prevalent. Conclusions The findings of this study contribute information to the field of MCC research in response to the need for ongoing surveillance. Key messages Ongoing MCC research efforts will provide a much needed paradigm shift in management of chronic conditions in the public health domain.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Sangeeta Gupta

Abstract Background Increasing burden of Multiple Chronic Conditions (MCC) is a global priority. However, lack of a consistent definition makes it a challenge to compare burden of MCC amongst countries. The objective of this study is twofold: 1) to present research on the prevalence of MCC among US adults and 2) to reopen a global dialogue on potential areas for intervention including a consensus on the taxonomy of MCC. Methods Combined data for 2015 through 2018 from Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor and Surveillance system (n = 1373755) were analyzed to determine prevalence of MCC. Adults were categorized as having 0, 1, 2, or 3 or more of the following diagnosed chronic conditions: angina, arthritis, asthma, cancer, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, high blood pressure, high cholesterol, myocardial infarction (heart attack), obesity, or stroke. Results More than 61% of US adults had at least 1 of the 12 selected chronic conditions. Furthermore, 47.8 percent of US adults had MCC. For US adults with 2 chronic conditions, the MCC dyad with the highest prevalence was arthritis and obesity. Among adults with 3 or more chronic conditions, the MCC triad of arthritis, asthma, and obesity was the most prevalent. Conclusions The findings of this study contribute information to the field of MCC research in response to the need for ongoing surveillance. Key messages Ongoing MCC research efforts will provide a much needed paradigm shift in management of chronic conditions in the public health domain.


Author(s):  
Lydia K. Manning ◽  
Lauren M. Bouchard ◽  
James L. Flanagan

There is a great deal of concern about the increasing number of older adults who suffer from chronic disease. These conditions result in persistent health consequences and have an ongoing and long-term negative impact on people and their quality of life. Furthermore, the probability that a person will experience the onset of multiple chronic conditions, known as comorbidities, increases with age. Despite the prevalence of comorbidity in later life, scant research exists regarding specific patterns of disease and the co-occurrence and complex interactions of the chronic conditions most closely associated with aging. It is important to review the body of literature on comorbidities associated with physical and psychiatric syndromes in later life to gain an overview of some of the most commonly seen disorders in older adults: hypertension, diabetes, cardiovascular disease, chronic obstructive pulmonary disease, arthritis, depression, and dementia. Specific patterns of disease and the co-occurrence and complex interactions of chronic conditions in later life are explored. In conclusion, we consider the need for a more informed understanding of comorbidity, as well as a related plan for addressing it.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e038415
Author(s):  
Jennifer Johnston ◽  
Jo Longman ◽  
Dan Ewald ◽  
Jonathan King ◽  
Sumon Das ◽  
...  

IntroductionThe proportion of potentially preventable hospitalisations (PPH) which are actually preventable is unknown, and little is understood about the factors associated with individual preventable PPH. The Diagnosing Potentially Preventable Hospitalisations (DaPPHne) Study aimed to determine the proportion of PPH for chronic conditions which are preventable and identify factors associated with chronic PPH classified as preventable.SettingThree hospitals in NSW, Australia.ParticipantsCommunity-dwelling patients with unplanned hospital admissions between November 2014 and June 2017 for congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes complications or angina pectoris. Data were collected from patients, their general practitioners (GPs) and hospital records.Outcome measuresAssessments of the preventability of each admission by an Expert Panel.Results323 admissions were assessed for preventability: 46% (148/323) were assessed as preventable, 30% (98/323) as not preventable and 24% (77/323) as unclassifiable. Statistically significant differences in proportions preventable were found between the three study sites (29%; 47%; 58%; p≤0.001) and by primary discharge diagnosis (p≤0.001).Significant predictors of an admission being classified as preventable were: study site; final principal diagnosis of CHF; fewer diagnoses on discharge; shorter hospital stay; GP diagnosis of COPD; GP consultation in the last 12 months; not having had a doctor help make the decision to go to hospital; not arriving by ambulance; patient living alone; having someone help with medications and requiring help with daily tasks.ConclusionsThat less than half the chronic PPH were assessed as preventable, and the range of factors associated with preventability, including site and discharge diagnosis, are important considerations in the validity of PPH as an indicator. Opportunities for interventions to reduce chronic PPH include targeting patients with CHF and COPD, and the provision of social welfare and support services for patients living alone and those requiring help with daily tasks and medication management.


2021 ◽  
Vol 8 ◽  
pp. 237437352110076
Author(s):  
Hyllore Imeri ◽  
Erin Holmes ◽  
Shane Desselle ◽  
Meagen Rosenthal ◽  
Marie Barnard

Chronic conditions (CCs) management during the COVID-19 pandemic and the impact of the pandemic on patient activation (PA) and health locus of control (HLOC) remain unknown. This cross-sectional online survey study examined the role of COVID-19 pandemic-related worry or fear in PA and HLOC among patients with CCs. Individuals with CCs (n = 300) were recruited through MTurk Amazon. The questionnaire included sociodemographic questions, the Patient Activation Measure, and the Multidimensional Health Locus of Control–Form B. Out of the 300 participants, 9.7% were diagnosed with COVID-19, and 7.3% were hospitalized. Patients with cancer, chronic kidney disease, chronic obstructive pulmonary disease, drug abuse/substance abuse, and stroke reported significant difficulties in managing their CCs due to worry or fear because of COVID-19. More than half of the sample (45.7%) reported COVID-19-related worry or fear about managing their CCs, and these patients had lower PA and lower external HLOC compared to patients not affected by COVID-19-related worry or fear. Health professionals should provide more support for patients facing difficulties in managing their CCs during the COVID-19 pandemic.


2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Hussain Ibrahim ◽  
Adnan Khan ◽  
Shawn P. Nishi ◽  
Ken Fujise ◽  
Syed Gilani

Dyspnea accounts for more than one-fourth of the hospital admissions from Emergency Department. Chronic conditions such as Chronic Obstructive Pulmonary Disease, Congestive Heart Failure, and Asthma are being common etiologies. Less common etiologies include conditions such as valvular heart disease, pulmonary embolism, and right-to-left shunt (RLS) from patent foramen ovale (PFO). PFO is present in estimated 20–30% of the population, mostly a benign condition. RLS via PFO usually occurs when right atrium pressure exceeds left atrium pressure. RLS can also occur in absence of higher right atrium pressure. We report one such case that highlights the importance of high clinical suspicion, thorough evaluation, and percutaneous closure of the PFO leading to significant improvement in the symptoms.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. TPS1587-TPS1587
Author(s):  
Emily R. Mackler ◽  
Karen B. Farris ◽  
Katie S. Gatwood ◽  
Amna Rizvi-Toner ◽  
Alex Wallace ◽  
...  

TPS1587 Background: Non-adherence to oral anticancer agents (OAA) has been reported among 30% of individuals. Often, individuals with cancer are not just managing their new OAA but also medications to treat multiple chronic conditions (MCC). Multiple factors contribute to the extent patients on OAAs and MCC medications adhere to therapy. The objective of this study is to improve medication, symptom, and disease management of patients with hematological malignancies and MCC through care coordination between pharmacists. Methods: Design. This is a multi-center prospective single arm pilot study at two academic medical centers in Michigan and Tennessee. Subjects. Ninety participants will be recruited, 60 from site 1 and 30 from site 2. Inclusion criteria are: adults > 18 years, diagnosed with and initiating oral treatment for chronic myeloid leukemia, chronic lymphocytic leukemia, or multiple myeloma, diagnoses of at least 2 chronic conditions, where one is type 2 diabetes, hypertension, congestive heart failure, depression/anxiety, gastroesophageal reflux disease, hyperlipidemia, or chronic obstructive pulmonary disease, taking at least two chronic medications, and able to provide electronic consent. Exclusion criteria are: inability to speak English, and diagnosis of type 1 diabetes or HIV. Intervention. Participants will complete two Patient Reported Outcome Measures (PROMs) for their OAA that will be reviewed by the oncology pharmacist, with follow-up to the care team if needed. Participants will be scheduled for a Comprehensive Medication Review with a primary care pharmacist for up to two visits for their chronic medications. The intervention over 2 months, and the oncology and primary care pharmacists communicate via electronic health record about medications, symptoms, and disease control. Outcomes. The primary endpoints are (a) dose-adjusted adherence by proportion days covered (PDC) for the OAA and (b) PDC for chronic condition medications, assessed using 6 months of prescription claims. Data will be collected from patients using REDCap surveys and abstracted data will be entered into REDCap. Implementation by pharmacists and patient acceptability will be examined. Analysis. The association of OAA and chronic medication adherence (PDC) will be examined via correlation. Participant demographics,clinical characteristics, and the symptom experience from the PROM will be described. Using CMR results, medication problems, recommendations, and changes will be provided. Program implementation will be assessed and patient perceptions obtained from post-CMR interviews. A joint display for the quantitative and qualitative data for feasibility, appropriateness, and acceptability from pharmacists will be completed. Results: Screening and recruitment has begun. Clinical trial information: NCT04595851 and NCT04663100.


2018 ◽  
Vol 6 (26) ◽  
pp. 1-60 ◽  
Author(s):  
Alex Bottle ◽  
Kate Honeyford ◽  
Faiza Chowdhury ◽  
Derek Bell ◽  
Paul Aylin

BackgroundHeart failure (HF) and chronic obstructive pulmonary disease (COPD) lead to unplanned hospital activity, but our understanding of what drives this is incomplete.ObjectivesTo model patient, primary care and hospital factors associated with readmission and mortality for patients with HF and COPD, to assess the statistical performance of post-discharge emergency department (ED) attendance compared with readmission metrics and to compare all the results for the two conditions.DesignObservational study.SettingEnglish NHS.ParticipantsAll patients admitted to acute non-specialist hospitals as an emergency for HF or COPD.InterventionsNone.Main outcome measuresOne-year mortality and 30-day emergency readmission following the patient’s first unplanned admission (‘index admission’) for HF or COPD.Data sourcesPatient-level data from Hospital Episodes Statistics were combined with publicly available practice- and hospital-level data on performance, patient and staff experience and rehabilitation programme website information.ResultsOne-year mortality rates were 39.6% for HF and 24.1% for COPD and 30-day readmission rates were 19.8% for HF and 16.5% for COPD. Most patients were elderly with multiple comorbidities. Patient factors predicting mortality included older age, male sex, white ethnicity, prior missed outpatient appointments, (long) index length of hospital stay (LOS) and several comorbidities. Older age, missed appointments, (short) LOS and comorbidities also predicted readmission. Of the practice and hospital factors we considered, only more doctors per 10 beds [odds ratio (OR) 0.95 per doctor;p < 0.001] was significant for both cohorts for mortality, with staff recommending to friends and family (OR 0.80 per unit increase;p < 0.001) and number of general practitioners (GPs) per 1000 patients (OR 0.89 per extra GP;p = 0.004) important for COPD. For readmission, only hospital size [OR per 100 beds = 2.16, 95% confidence interval (CI) 1.34 to 3.48 for HF, and 2.27, 95% CI 1.40 to 3.66 for COPD] and doctors per 10 beds (OR 0.98;p < 0.001) were significantly associated. Some factors, such as comorbidities, varied in importance depending on the readmission diagnosis. ED visits were common after the index discharge, with 75% resulting in admission. Many predictors of admission at this visit were as for readmission minus comorbidities and plus attendance outside the day shift and numbers of admissions that hour. Hospital-level rates for ED attendance varied much more than those for readmission, but the omega statistics favoured them as a performance indicator.LimitationsData lacked direct information on disease severity and ED attendance reasons; NHS surveys were not specific to HF or COPD patients; and some data sets were aggregated.ConclusionsFollowing an index admission for HF or COPD, older age, prior missed outpatient appointments, LOS and many comorbidities predict both mortality and readmission. Of the aggregated practice and hospital information, only doctors per bed and numbers of hospital beds were strongly associated with either outcome (both negatively). The 30-day ED visits and diagnosis-specific readmission rates seem to be useful performance indicators.Future workHospital variations in ED visits could be investigated using existing data despite coding limitations. Primary care management could be explored using individual-level linked databases.FundingThe National Institute for Health Research Health Services and Delivery Research programme.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Alanna M Chamberlain ◽  
Cynthia M Boyd ◽  
Sheila M Manemann ◽  
Shannon M Dunlay ◽  
Yariv Gerber ◽  
...  

Background: Whether age alone explains the comorbidity burden in heart failure (HF) is unclear. In particular, differences in the burden of co-morbid conditions in HF patients compared to population controls has not been well documented. Methods: The prevalence of 17 chronic conditions defined by the US Department of Health and Human Services were obtained in 1746 incident HF patients from 2000-2010 and controls matched 1:1 on sex and age from Olmsted County, MN. Conditions were ascertained requiring 2 occurrences of a diagnostic code. Logistic regression determined associations of each condition with HF. Results: Among the 1746 matched pairs (mean age 76.2 years, 43.5% men), the prevalence was higher in HF cases for all conditions (p<0.05) except dementia and osteoporosis. After adjusting for all conditions, hypertension, coronary artery disease, arrhythmia, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, hepatitis, and substance abuse were significantly more common in HF (figure). More than a 2-fold increased odds of hepatitis, arrhythmia, and coronary artery disease was observed among HF cases. Arrhythmia (34.2%), hypertension (31.1%), and coronary artery disease (27.8%) had the largest attributable risk of HF; for example, assuming a causal relationship, if arrhythmias were eliminated, 34% of HF would be avoided. Conclusions: Compared to age- and sex-matched controls, HF patients have a higher prevalence of many chronic conditions, indicating the excess comorbidity in HF is not due to age alone. Some cardiovascular conditions, including arrhythmia, coronary artery disease, and hypertension were more common in HF. Of the non-cardiovascular conditions, hepatitis had the strongest association with HF and was an unanticipated finding that deserves additional investigation. It is important to understand comorbidities as they play a key role in the excess mortality and healthcare utilization experienced by HF patients.


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