Dataset Information

Care coordination for the chronically ill: understanding the patient's perspective.

ABSTRACT:

Objective

To identify factors associated with perception of care coordination problems among chronically ill patients.

Methods

Patient-level data were obtained from a random-digit dial telephone survey of adults with chronic conditions. The survey measured respondents' self-report of care coordination problems and level of patient activation, using the Patient Activation Measure (PAM-13). Logistic regression was used to assess association between respondents' self-report of care coordination problems and a set of patient characteristics.

Results

Respondents in the highest activation stage had roughly 30-40 percent lower odds of reporting care coordination problems compared to those in the lowest stage (p < .01). Respondents with multiple chronic conditions were significantly more likely to report coordination problems than those with hypertension only. Respondents' race/ethnicity, employment, insurance status, income, and length of illness were not significantly associated with self-reported care coordination problems.

Conclusion

We conclude that patient activation and complexity of chronic illness are strongly associated with patients' self-report of care coordination problems. Developing targeted strategies to improve care coordination around these patient characteristics may be an effective way to address the issue.

SUBMITTER: Maeng DD

PROVIDER: S-EPMC3513613 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Care coordination for the chronically ill: understanding the patient's perspective.

Maeng Daniel D DD Martsolf Grant R GR Scanlon Dennis P DP Christianson Jon B JB

Health services research 20120330 5

<h4>Objective</h4>To identify factors associated with perception of care coordination problems among chronically ill patients.<h4>Methods</h4>Patient-level data were obtained from a random-digit dial telephone survey of adults with chronic conditions. The survey measured respondents' self-report of care coordination problems and level of patient activation, using the Patient Activation Measure (PAM-13). Logistic regression was used to assess association between respondents' self-report of care c ...[more]

PMID: 22985032

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Project description:ImportanceEmpirical study findings to date are mixed on the association between team-based primary care initiatives and health care use and costs for Medicaid and commercially insured patients, especially those with multiple chronic conditions.ObjectiveTo evaluate the association of establishing team-based primary care with patient health care use and costs.Design, setting, and participantsWe used difference-in-differences to compare preutilization and postutilization rates between intervention and comparison practices with inverse probability weighting to balance observable differences. We fit a linear model using generalized estimating equations to adjust for clustering at 18 academically affiliated primary care practices in the Boston, Massachusetts, area between 2011 and 2015. The study included 83 953 patients accounting for 138 113 patient-years across 18 intervention practices and 238 455 patients accounting for 401 573 patient-years across 76 comparison practices. Data were analyzed between April and August 2018.ExposuresPractices participated in a 4-year learning collaborative that created and supported team-based primary care.Main outcomes and measuresOutpatient visits, hospitalizations, emergency department visits, ambulatory care-sensitive hospitalizations, ambulatory care-sensitive emergency department visits, and total costs of care.ResultsOf 322 408 participants, 176 259 (54.7%) were female; 64 030 (19.9%) were younger than 18 years and 258 378 (80.1%) were age 19 to 64 years. Intervention practices had fewer participants, with 2 or more chronic conditions (n = 51 155 [37.0%] vs n = 186 954 [46.6%]), more participants younger than 18 years (n = 337 931 [27.5%] vs n = 74 691 [18.6%]), higher Medicaid enrollment (n = 39 541 [28.6%] vs n = 81 417 [20.3%]), and similar sex distributions (75 023 women [54.4%] vs 220 097 women [54.8%]); however, after inverse probability weighting, observable patient characteristics were well balanced. Intervention practices had higher utilization in the preperiod. Patients in intervention practices experienced a 7.4% increase in annual outpatient visits relative to baseline (95% CI, 3.5%-11.3%; P < .001) after adjusting for patient age, sex, comorbidity, zip code level sociodemographic characteristics, clinician characteristics, and plan fixed effects. In a subsample of patients with 2 or more chronic conditions, there was a statistically significant 18.6% reduction in hospitalizations (95% CI, 1.5%-33.0%; P = .03), 25.2% reduction in emergency department visits (95% CI, 6.6%-44.0%; P = .007), and a 36.7% reduction in ambulatory care-sensitive emergency department visits (95% CI, 9.2%-64.0%; P = .009). Among patients with less than 2 comorbidities, there was an increase in outpatient visits (9.2%; 95% CI, 5.10%-13.10%; P < .001), hospitalizations (36.2%; 95% CI, 12.2-566.6; P = .003), and ambulatory care-sensitive hospitalizations (50.6%; 95% CI, 7.1%-329.2%; P = .02).Conclusions and relevanceWhile establishing team-based care was not associated with differences in the full patient sample, there were substantial reductions in utilization among a subset of chronically ill patients. Team-based care practice transformation in primary care settings may be a valuable tool in improving the care of sicker patients, thereby reducing avoidable use; however, it may lead to greater use among healthier patients.

Dataset Information

Care coordination for the chronically ill: understanding the patient's perspective.

Objective

Methods

Results

Conclusion

Publications

Care coordination for the chronically ill: understanding the patient's perspective.

Similar Datasets

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