Continuity of care and the risk of preventable hospitalization in older adults.
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ABSTRACT:
SUBMITTER: Nyweide DJ
PROVIDER: S-EPMC3877937 | biostudies-literature | 2013 Nov
REPOSITORIES: biostudies-literature
Publications
Continuity of care and the risk of preventable hospitalization in older adults.
Nyweide David J DJ Anthony Denise L DL Bynum Julie P W JP Strawderman Robert L RL Weeks William B WB Casalino Lawrence P LP Fisher Elliott S ES
JAMA internal medicine 20131101 20
<h4>Importance</h4>Preventable hospitalizations are common among older adults for reasons that are not well understood.<h4>Objective</h4>To determine whether Medicare patients with ambulatory visit patterns indicating higher continuity of care have a lower risk of preventable hospitalization.<h4>Design</h4>Retrospective cohort study.<h4>Setting</h4>Ambulatory visits and hospital admissions.<h4>Participants</h4>Continuously enrolled fee-for-service Medicare beneficiaries older than 65 years with ...[more]
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Project description:OBJECTIVES:Reducing potentially preventable hospitalization (PPH) among older adults with dementia is a goal of Healthy People 2020, yet no tools specifically identify patients with dementia at highest risk. The objective was to develop a risk prediction model to identify older adults with dementia at high imminent risk of PPH. DESIGN:A 30-day risk prediction model was developed using multivariable logistic regression. Patients from fiscal years (FY) 2009 to 2011 were split into development and validation cohorts; FY2012 was used for prediction. SETTING:Community-dwelling older adults (?65 years of age) with dementia who received care through the Veterans Health Administration. PARTICIPANTS:There were 1 793 783 participants. MEASUREMENTS:Characteristics associated with hospitalization risk were (1) age and other demographic factors; (2) outpatient, emergency department, and inpatient utilization; (3) medical and psychiatric diagnoses; and (4) prescribed medication use including changes to psychotropic medications (eg, initiation or dosage increase). Model discrimination was determined by the C statistic for each of the three cohorts. Finally, to determine whether predicted 30-day risk strata were stable over time, the observed PPH rate was calculated out to 1 year. RESULTS:In the development cohort, .6% of patients experienced PPH within 30?days. The C statistic for the development cohort was .83 (95% confidence interval [CI] = .83-.84) and .83 in the prediction cohort (95% CI = .82-.84). Patients in the top 10% of predicted 30-day PPH risk accounted for more than 50% of 30-day PPH admissions in all three cohorts. In addition, those predicted to be at elevated 30-day risk remained at higher risk throughout a year of follow-up. CONCLUSION:It is possible to identify older adults with dementia at high risk of imminent PPH, and their risk remains elevated for an entire year. Given the negative outcomes associated with acute hospitalization for those with dementia, healthcare systems and providers may be able to engage these high-risk patients proactively to avoid unnecessary hospitalization. J Am Geriatr Soc 67:2077-2084, 2019.
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Project description:INTRODUCTION:Chronic kidney disease (CKD) risk staging is based on estimated glomerular filtration rate (eGFR) and albumin-creatinine ratio (ACR). However, the relationship between all-cause hospitalization risk and the current CKD staging system has not been well studied among older adults, despite a high prevalence of CKD and a high risk of hospitalization in old age. METHODS:Among 4,766 participants of the Atherosclerosis Risk in Communities study, CKD was staged according to Kidney Disease Improving Global Outcomes (KDIGO) criteria, using creatinine-based eGFR (eGFRcr) and ACR. Incidence rates of all-cause hospitalization associated with each CKD risk group were analyzed using negative binomial regression. Additionally, cause-specific hospitalization risks for cardiovascular, infectious, kidney, and other diseases were estimated. The impacts of using cystatin C-based eGFR (eGFRcys) to estimate the prevalence of CKD and risks of hospitalization were also quantified. RESULTS:Participants experienced 5,548 hospitalizations and 29% had CKD. Hospitalization rates per 1,000 person-years according to KDIGO risk categories were 208-223 ("low risk"), 288-376 ("moderately increased risk"), 363-548 ("high risk"), and 499-1083 ("very high risk"). The increased risk associated with low eGFR and high ACR persisted in adjusted analyses, examinations of cause-specific hospitalizations, and when CKD was staged by eGFRcys or eGFRcr-cys, a combined equation based on both creatinine and cystatin C. In comparison to eGFRcr, staging by eGFRcys increased the prevalence of CKD to 50%, but hospitalization risks remained similarly high. DISCUSSION/CONCLUSION:In older adults, decreased eGFR, increased ACR, and KDIGO risk stages based on a combination of these measures, were strong risk factors for hospitalization. These relationships were consistent, regardless of the marker used to estimate GFR, but the use of cystatin C resulted in a substantially higher prevalence of CKD than the use of creatinine. Older adults in the population with very high risk stages of CKD have hospitalization rates exceeding 500 per 1,000 person-years.
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Project description:BackgroundA significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods.MethodsThis retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM).ResultsOur predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM.ConclusionsOur study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.
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Project description:BackgroundContinuity of care has been shown to improve health outcomes and increase patient satisfaction. Goal-oriented care, a person-centered approach to care, has the potential to positively impact continuity of care. This study sought to examine how a goal-oriented approach impacts continuity of care in a long-term care setting.MethodsUsing a case study approach, we examined what aspects of goal-oriented care facilitate or inhibit continuity of care from the perspectives of administrators, care providers, and residents in a long-term care centre in Ontario, Canada. Data was collected through documentary evidence and semi-structured interviews.ResultsWe analyzed six internal documents (e.g., strategic plan, client information package, staff presentations, evaluation framework, program logic model), and conducted 13 interviews. The findings indicated that the care provided through the goal-oriented approach program had elements that both facilitated and inhibited continuity of care. These factors are outlined according to the three types of continuity, including aspects of the program that influence informational, relational, and management continuity.ConclusionsAspects of the goal-oriented care approach that facilitate continuity can be targeted when designing person-centered care approaches. More research is needed on goal-oriented care approaches that have been implemented in other long-term care settings to determine if the factors identified here as influencing continuity are confirmed.
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Project description:BackgroundOlder adults see multiple outpatient providers and increasingly use home health care (HHC) services. Previous studies attempting to draw inferences about the association between HHC use and patient outcomes have been mixed. Whether HHC is associated with care coordination and how both influence outcomes are unknown. In addition, prior studies have not taken the patient perspective into account. We examined the association between receiving HHC and self-reported gaps in care coordination and separately, preventable adverse outcomes.MethodsThe analysis for this cross-sectional study was conducted between October 2021 and June 2022, using data on 4296 Medicare beneficiaries from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed a survey on care coordination from 2017 to 2018. The associations between the receipt of HHC and two outcomes (a gap in care coordination, and separately, a preventable adverse event) were examined with Poisson models with robust standard errors. Potential confounders were accounted for through propensity score-based inverse probability weighting.ResultsAmong 4296 participants, 430 (10%) received HHC and they were older and had more comorbidities and ambulatory visits than those without HHC. HHC was not associated with differences in self-reported gaps in care coordination (33.3% HHC vs. 32.5% no-HHC, p = 0.70). HHC recipients reported more preventable drug-drug interactions (9.1% vs. 4.0%, p < 0.001) but not more preventable ED visits or hospital admissions. In IPW-adjusted models, HHC was not associated with gaps in care coordination (p = 0.60) but was associated with double the risk of a preventable adverse outcome (aRR 2.06; CI: 1.37, 3.10, p < 0.001).ConclusionsHHC recipients were significantly more likely (than those without HHC) to report a potentially preventable adverse event (particularly a drug-drug interaction), suggesting an opportunity to improve patient safety by leveraging the observations of older adults receiving HHC.
| S-EPMC10023304 | biostudies-literature
Project description:PurposeWe undertook a study to examine national trends in potentially preventable hospitalizations-those for ambulatory care-sensitive conditions that could have been avoided if patients had timely access to primary care-across 3,200 counties and various subpopulations of older adults in the United States.MethodsWe used 2010-2014 Medicare claims data to examine trends in potentially preventable hospitalizations among beneficiaries aged 65 years and older and developed heat maps to examine county-level variation. We used a generalized estimating equation and adjusted the model for demographics, comorbidities, dual eligibility (Medicare and Medicaid), ZIP code-level income, and county-level number of primary care physicians and hospitals.ResultsAcross the 3,200 study counties, potentially preventable hospitalizations decreased in 327 counties, increased in 123 counties, and did not change in the rest. At the population level, the adjusted rate of potentially preventable hospitalizations declined by 3.45 percentage points from 19.42% (95% CI, 18.4%-20.5%) in 2010 to 15.97% (95% CI, 15.3%-16.6%) in 2014; it declined by 2.93, 2.87, and 3.33 percentage points among White, Black, and Hispanic patients to 14.96% (95% CI, 14.67%-15.24%), 17.92% (95% CI, 17.27%-18.58%), and 17.10% (95% CI, 16.25%-18.0%), respectively. Similarly, the rate for dually eligible patients fell by 3.71 percentage points from 21.62% (95% CI, 20.5%-22.8%) in 2010 to 17.91% (95% CI, 17.2%-18.7%) in 2014. (P <.001 for all).ConclusionsDuring 2010-2014, rates of potentially preventable hospitalization did not change in the majority of counties. At the population level, although the rate declined among all subpopulations, dually eligible patients and Black and Hispanic patients continued to have substantially higher rates compared with non-dually eligible and White patients, respectively.
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Project description:ImportancePoor continuity of care may contribute to high health care spending and adverse patient outcomes in dementia.ObjectiveTo examine the association between medical clinician continuity and health care utilization, testing, and spending in older adults with dementia.Design, setting, and participantsThis was a study of an observational retrospective cohort from the 2012 national sample in fee-for-service Medicare, conducted from July to December 2015, using inverse probability weighted analysis. A total of 1 416 369 continuously enrolled, community-dwelling, fee-for-service Medicare beneficiaries 65 years or older with a claims-based dementia diagnosis and at least 4 ambulatory visits in 2012 were included.ExposuresContinuity of care score measured on patient visits across physicians over 12 months. A higher continuity score is assigned to visit patterns in which a larger share of the patient's total visits are with fewer clinicians. Score range from 0 to 1 was examined in low-, medium-, and high-continuity tertiles.Main outcomes and measuresOutcomes include all-cause hospitalization, ambulatory care sensitive condition hospitalization, emergency department visit, imaging, and laboratory testing (computed tomographic [CT] scan of the head, chest radiography, urinalysis, and urine culture), and health care spending (overall, hospital and skilled nursing facility, and physician).ResultsBeneficiaries with dementia who had lower levels of continuity of care were younger, had a higher income, and had more comorbid medical conditions. Almost 50% of patients had at least 1 hospitalization and emergency department visit during the year. Utilization was lower with increasing level of continuity. Specifically comparing the highest- vs lowest-continuity groups, annual rates per beneficiary of hospitalization (0.83 vs 0.88), emergency department visits (0.84 vs 0.99), CT scan of the head (0.71 vs 0.83), urinalysis (0.72 vs 1.09), and health care spending (total spending, $22 004 vs $24 371) were higher with lower continuity even after accounting for sociodemographic factors and comorbidity burden (P < .001 for all comparisons). The rate of ambulatory care sensitive condition hospitalization was similar across continuity groups.Conclusions and relevanceAmong older fee-for-service Medicare beneficiaries with a dementia diagnosis, lower continuity of care is associated with higher rates of hospitalization, emergency department visits, testing, and health care spending. Further research into these relationships, including potentially relevant clinical, clinician, and systems factors, can inform whether improving continuity of care in this population may benefit patients and the wider health system.
| S-EPMC5061498 | biostudies-literature
Project description:Medicare beneficiaries with multiple chronic conditions are typically seen by multiple providers, particularly specialists. Clinically appropriate referrals to multiple specialists may compromise the continuity of care for multiple chronic condition beneficiaries and create care plans that patients may find challenging to reconcile, which may impact patient outcomes.The objective was to examine whether glycemic control or lipid control was associated with the number of prescribers of cardiometabolic medications.A retrospective cross-sectional cohort analysis of 51,879 elderly Medicare fee-for-service beneficiaries with diabetes and 129,762 beneficiaries with dyslipidemia living in 10 east coast states. Glycemic control was defined as having an HbA1c<7.5. Lipid control was defined as an low-density lipoprotein<100 for beneficiaries with heart disease or diabetes or an low-density lipoprotein<130 for all other beneficiaries. We examined the association between the number of prescribers of cardiometabolic medications and disease or lipid control in 2011 through logistic regression, controlling for age, sex, race, Medicaid enrollment, 17 chronic conditions and state-fixed effects.Among beneficiaries with diabetes, 76% with one prescriber had well-controlled diabetes in 2011, which decreased to 65% for beneficiaries with 5+ prescribers. In adjusted analyses, Medicare beneficiaries with 3 or more prescribers were less likely to have glycemic control than beneficiaries with a single prescriber. Among those with dyslipidemia, nearly all (91%-92%) beneficiaries had lipid control. After adjustment for demographics and comorbidity burden, beneficiaries with 3 prescribers were less likely to have lipid control than beneficiaries with a single prescriber.Multiple prescribers were associated with worse disease control, possibly because patients with more severe diabetes or dyslipidemia have multiple prescribers or because care fragmentation is associated with worse disease control.
| S-EPMC5352484 | biostudies-literature
Project description:BackgroundLongitudinal continuity between a patient and his/her primary care physician is an important aspect in measuring continuity of care (COC). The majority of previous studies employed questionnaire surveys to patients to measure the continual relationship between patients and their physicians. This study aimed to construct a provider duration continuity index (PDCI) by using longitudinal claims data and to examine its agreement with commonly used COC measures. Then, this study investigated the effects of the various types of COC measure on the likelihood of avoidable hospitalization while considering the level of comorbidity.MethodsThis study constructed a 4-year panel (from 2014 to 2017) of the nationwide health insurance claims data in Taiwan. In total, 328,044 randomly selected patients with 3 or more physician visits per year were analyzed. Two PDCIs were constructed to measure the duration of interaction between a patient and his/her physicians over time. The agreement between the PDCIs and three commonly used COC indicators, the Usual Provider of Care index, the Continuity of Care Index, and the Sequential Continuity Index, were examined. Generalized estimating equations were conducted to examine the association between COC and avoidable hospitalization by the level of comorbidity.ResultsThe results showed that the correlations among the three commonly used COC indicators were high (γ = 0.787 ~ 0.958) and the correlation between the two longitudinal continuity measures was moderate (γ = 0.577 ~ 0.579), but the correlations between the commonly used COC indicators and the two PDCIs were low (γ = 0.001 ~ 0.257). All COC measures, both the PDCIs and the three commonly used COC indicators, showed independent protective effects on the likelihood of avoidable hospitalization in three comorbidity groups.ConclusionThe duration of interaction between patients and physicians is an independent domain in measuring COC and has a significant effect on health care outcomes.
| S-EPMC10224272 | biostudies-literature
Project description:ContextStudies suggest that many survivors of critical illness experience long-term cognitive impairment but have not included premorbid measures of cognitive functioning and have not evaluated risk for dementia associated with critical illness.ObjectivesTo determine whether decline in cognitive function was greater among older individuals who experienced acute care or critical illness hospitalizations relative to those not hospitalized and to determine whether the risk for incident dementia differed by these exposures.Design, setting, and participantsAnalysis of data from a prospective cohort study from 1994 through 2007 comprising 2929 individuals 65 years old and older without dementia at baseline residing in the community in the Seattle area and belonging to the Group Health Cooperative. Participants with 2 or more study visits were included, and those who had a hospitalization for a diagnosis of primary brain injury were censored at the time of hospitalization. Individuals were screened with the Cognitive Abilities Screening Instrument (CASI) (score range, 0-100) every 2 years at follow-up visits, and those with a score less than 86 underwent a clinical examination for dementia.Main outcome measuresScore on the CASI at follow-up study visits and incident dementia diagnosed in study participants, adjusted for baseline cognitive scores, age, and other risk factors.ResultsDuring a mean (SD) follow-up of 6.1 (3.2) years, 1601 participants had no hospitalization, 1287 had 1 or more noncritical illness hospitalizations, and 41 had 1 or more critical illness hospitalizations. The CASI score was assessed more than 45 days after discharge for 94.3% of participants. Adjusted CASI scores averaged 1.01 points lower for visits following acute care illness hospitalization compared with follow-up visits not following any hospitalization (95% confidence interval [CI], -1.33 to -0.70; P < .001) and 2.14 points lower on average for visits following critical illness hospitalization (95% CI, -4.24 to -0.03; P = .047). There were 146 cases of dementia among those not hospitalized, 228 cases of dementia among those with 1 or more noncritical illness hospitalizations, and 5 cases of dementia among those with 1 or more critical illness hospitalizations. The adjusted hazard ratio for incident dementia was 1.4 following a noncritical illness hospitalization (95% CI, 1.1 to 1.7; P = .001) and 2.3 following a critical illness hospitalization (95% CI, 0.9 to 5.7; P = .09).ConclusionsAmong a cohort of older adults without dementia at baseline, those who experienced acute care hospitalization and critical illness hospitalization had a greater likelihood of cognitive decline compared with those who had no hospitalization. Noncritical illness hospitalization was significantly associated with the development of dementia.
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