Dataset Information

Continuity of Care Versus Language Concordance as an Intervention to Reduce Hospital Readmissions From Home Health Care.

ABSTRACT:

Background

Language concordance between health care practitioners and patients have recently been shown to lower the risk of adverse health events. Continuity of care also been shown to have the same impact.

Objective

The purpose of this paper is to examine the relative effectiveness of both continuity of care and language concordance as alternative or complementary interventions to improve health outcomes of people with limited English proficiency.

Design

A multivariable logistic regression model using rehospitalization as the dependent variable was built. The variable of interest was created to compare language concordance and continuity of care.

Participants

The final sample included 22,103 patients from the New York City area between 2010 and 2015 who were non-English-speaking and admitted to their home health site following hospital discharge.

Measures

The odds ratio (OR) average marginal effect (AME) of each included variable was calculated for model analysis.

Results

When compared with low continuity of care and high language concordance, high continuity of care and high language concordance significantly decreased readmissions (OR=0.71, 95% CI: 0.62-0.80, P<0.001, AME=-4.95%), along with high continuity of care and low language concordance (OR=0.80, 95% CI: 0.74-0.86, P<0.001, AME=-3.26%). Low continuity of care and high language concordance did not significantly impact readmissions (OR=1.04, 95% CI: 0.86-1.26, P=0.672, AME=0.64%).

Conclusion

In the US home health system, enhancing continuity of care for those with language barriers may be helpful to address disparities and reduce hospital readmission rates.

SUBMITTER: Squires A

PROVIDER: S-EPMC10421624 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Continuity of Care Versus Language Concordance as an Intervention to Reduce Hospital Readmissions From Home Health Care.

Squires Allison A Engel Patrick P Ma Chenjuan C Miner Sarah M SM Feldman Penny H PH McDonald Margaret V MV Jones Simon A SA

Medical care 20230810 9

<h4>Background</h4>Language concordance between health care practitioners and patients have recently been shown to lower the risk of adverse health events. Continuity of care also been shown to have the same impact.<h4>Objective</h4>The purpose of this paper is to examine the relative effectiveness of both continuity of care and language concordance as alternative or complementary interventions to improve health outcomes of people with limited English proficiency.<h4>Design</h4>A multivariable l ...[more]

PMID: 37561604

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Project description:BackgroundWhen patients and physicians speak the same language, it may improve the quality and safety of care delivered. We sought to determine whether patient-physician language concordance is associated with in-hospital and postdischarge outcomes among home care recipients who were admitted to hospital.MethodsWe conducted a population-based study of a retrospective cohort of 189 690 home care recipients who were admitted to hospital in Ontario, Canada, between 2010 and 2018. We defined patient language (obtained from home care assessments) as English (Anglophone), French (Francophone) or other (allophone). We obtained physician language from the College of Physicians and Surgeons of Ontario. We defined hospital admissions as language concordant when patients received more than 50% of their care from physicians who spoke the patients' primary language. We identified in-hospital (adverse events, length of stay, death) and post-discharge outcomes (emergency department visits, readmissions, death within 30 days of discharge). We used regression analyses to estimate the adjusted rate of mean and the adjusted odds ratio (OR) of each outcome, stratified by patient language, to assess the impact of language-concordant care within each linguistic group.ResultsAllophone patients who received language-concordant care had lower risk of adverse events (adjusted OR 0.25, 95% confidence interval [CI] 0.15-0.43) and in-hospital death (adjusted OR 0.44, 95% CI 0.29-0.66), as well as shorter stays in hospital (adjusted rate of mean 0.74, 95% CI 0.66-0.83) than allophone patients who received language-discordant care. Results were similar for Francophone patients, although the magnitude of the effect was smaller than for allophone patients. Language concordance or discordance of the hospital admission was not associated with significant differences in postdischarge outcomes.InterpretationPatients who received most of their care from physicians who spoke the patients' primary language had better in-hospital outcomes, suggesting that disparities across linguistic groups could be mitigated by providing patients with language-concordant care.

Project description:ObjectiveTo use patient-level clinical variables to develop and validate a parsimonious model to predict hospital readmissions from home healthcare (HHC) in Medicare fee-for-service beneficiaries.DesignRetrospective analysis using multivariable logistic regression and gradient boosting machine (GBM) learning to develop and validate a predictive model.Setting/participants/meaurementsA 5% national sample of patients, aged 65 years or older, with Medicare fee-for-service who received skilled HHC services within 5 days of hospital discharge in 2012 (n = 43 407). Multiple data sets were merged, including Medicare Outcome and Assessment Information Set, Home Health Claims, Medicare Provider Analysis and Review, and Master Beneficiary Summary Files, to extract patient-level variables from the first HHC visit after discharge and measure 30-day readmission outcomes.ResultsAmong 43 407 patients with inpatient hospitalizations followed by HHC, 14.7% were readmitted within 30 days. Of the 53 candidate variables, seven remained in the final model as individually predictive of outcome: Elixhauser comorbidity index, index hospital length of stay, urinary catheter presence, patient status (ie, fragile health with high risk of complications or serious progressive condition), two or more hospitalizations in prior year, pressure injury risk or presence, and surgical wound presence. Of interest, surgical wounds, either from a total hip or total knee arthroplasty procedure or another surgical procedure, were associated with fewer readmissions. The optimism-corrected c-statistics for the full model and parsimonious model were 0.67 and 0.66, respectively, indicating fair discrimination. The Brier score for both models was 0.120, indicating good calibration. The GBM model identified similar predictive variables.ConclusionVariables available to HHC clinicians at the first postdischarge HHC visit can predict readmission risk and inform care plans in HHC. Future analyses incorporating measures of social determinants of health, such as housing instability or social support, have the potential to enhance prediction of this outcome. J Am Geriatr Soc 67:2505-2510, 2019.

Project description:BACKGROUND:Evidence-based interventions to reduce hospital readmissions may not generalize to resource-constrained safety-net hospitals. OBJECTIVE:To determine if an intervention by patient navigators (PNs), hospital-based Community Health Workers, reduces readmissions among high risk, low socioeconomic status patients. DESIGN:Randomized controlled trial. PARTICIPANTS:General medicine inpatients having at least one of the following readmission risk factors: (1) age??60 years, (2) any in-network inpatient admission within the past 6 months, (3) length of stay??3 days, (4) admission diagnosis of heart failure, or (5) chronic obstructive pulmonary disease. The analytic sample included 585 intervention patients and 925 controls. INTERVENTIONS:PNs provided coaching and assistance in navigating the transition from hospital to home through hospital visits and weekly telephone outreach, supporting patients for 30 days post-discharge with discharge preparation, medication management, scheduling of follow-up appointments, communication with primary care, and symptom management. MAIN MEASURES:The primary outcome was in-network 30-day hospital readmissions. Secondary outcomes included rates of outpatient follow-up. We evaluated outcomes for the entire cohort and stratified by patient age >60 years (425 intervention/584 controls) and ?60 years (160 intervention/341 controls). KEY RESULTS:Overall, 30-day readmission rates did not differ between intervention and control patients. However, the two age groups demonstrated marked differences. Intervention patients >60 years showed a statistically significant adjusted absolute 4.1% decrease [95% CI: -8.0%, -0.2%] in readmission with an increase in 30-day outpatient follow-up. Intervention patients ?60 years showed a statistically significant adjusted absolute 11.8% increase [95% CI: 4.4%, 19.0%] in readmission with no change in 30-day outpatient follow-up. CONCLUSIONS:A patient navigator intervention among high risk, safety-net patients decreased readmission among older patients while increasing readmissions among younger patients. Care transition strategies should be evaluated among diverse populations, and younger high risk patients may require novel strategies.

Project description:ObjectiveTo assess the efficacy of medication review as an isolated intervention and with several co-interventions for preventing hospital readmissions in older adults.MethodsOvid MEDLINE, Embase, The Cochrane Central Register of Controlled Trials and CINAHL were searched for randomized controlled trials evaluating the effectiveness of medication review interventions with or without co-interventions to prevent hospital readmissions in hospitalized or recently discharged adults aged ≥65, until September 13, 2019. Included outcomes were "at least one all-cause hospital readmission within 30 days and at any time after discharge from the index admission."ResultsTwenty-five studies met the inclusion criteria. Of these, 11 studies (7,318 participants) contributed to the network meta-analysis (NMA) on all-cause hospital readmission within 30 days. Medication review in combination with (a) medication reconciliation and patient education (risk ratio (RR) 0.45; 95% confidence interval (CI) 0.26-0.80) and (b) medication reconciliation, patient education, professional education and transitional care (RR 0.64; 95% CI 0.49-0.84) were associated with a lower risk of all-cause hospital readmission compared to usual care. Medication review in isolation did not significantly influence hospital readmissions (RR 1.06; 95% CI 0.45-2.51). The NMA on all-cause hospital readmission at any time included 24 studies (11,677 participants). Medication review combined with medication reconciliation, patient education, professional education and transitional care resulted in a reduction of hospital readmissions (RR 0.82; 95% CI 0.74-0.91) compared to usual care. The quality of the studies included in this systematic review raised some concerns, mainly regarding allocation concealment, blinding and contamination.ConclusionMedication review in combination with medication reconciliation, patient education, professional education and transitional care, was associated with a lower risk of hospital readmissions compared to usual care. An effect of medication review without co-interventions was not demonstrated. Trials of higher quality are needed in this field.

Project description:Importance:Previous research suggests the important role of timely primary care follow-up in reducing hospital readmissions, although effectiveness varies by program design and patients' readmission risk level. Objective:To evaluate the outcomes of the 7-Day Pledge program to reduce readmissions by increasing access to timely primary care appointments after hospitalization. Design, Setting, and Participants:Retrospective cohort study of hospital readmissions among Medicaid patients 18 years or older hospitalized from January 1, 2014, to April 30, 2016, in Camden, New Jersey. To assess each patient's hospital use before and after hospital discharge, all-payer claims data from 4 health care systems were linked to insurers' lists of patients assigned to Camden-based primary care practices. A total of 1531 records were categorized by timing of a primary care appointment after discharge. Discharges followed by a primary care appointment within 7 days (treatment group) were matched by propensity scores to those with less timely or no primary care follow-up (nontreatment pool). Interventions:Targeted patient enrollment during hospital admission, primary care practice engagement, patient incentives to overcome barriers to keeping an appointment, and reimbursements to practices for prioritizing patients recently discharged from the hospital. Main Outcomes and Measures:The primary outcome was the number of hospital discharges followed by a readmission within 30 days. The secondary outcome was the number of hospital discharges followed by a readmission within 90 days. Results:There were 2580 hospitalizations of patients 18 years and older included on the patient lists from January 1, 2014, to April 30, 2016. Of these, 1531 records categorized by timing of a primary care appointment after discharge were studied. The treatment group consisted of 450 discharged patients (mean [SD] age, 48.7 [14.7] years; 289 [64.2%] female; 203 [45.1%] black, non-Hispanic). The nontreatment pool consisted of 1081 discharged patients (mean [SD] age, 48.1 [14.9] years; 599 [55.4%] female; 526 [48.7%] black, non-Hispanic). Among this cohort, the number of discharges followed by any readmission was lower for patients with a primary care visit within 7 days of hospital discharge than for their matched referents at 30 days (57 of 450 [12.7%] vs 78.8 of 450 [17.5%]; P = .03) and 90 days (126 of 450 [28.0%] vs 174 of 450 [38.7%]; P = .002) after discharge. Conclusions and Relevance:Facilitated receipt of primary care follow-up within 7 days of hospital discharge was associated with fewer Medicaid readmissions. The findings illuminate the importance of reducing barriers that patients and providers face during care transitions.

Dataset Information

Continuity of Care Versus Language Concordance as an Intervention to Reduce Hospital Readmissions From Home Health Care.

Background

Objective

Design

Participants

Measures

Results

Conclusion

Publications

Continuity of Care Versus Language Concordance as an Intervention to Reduce Hospital Readmissions From Home Health Care.

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