Dataset Information

Frailty, gaps in care coordination, and preventable adverse events.

ABSTRACT:

Background

Older US adults often receive care from multiple ambulatory providers. Seeing multiple providers may be clinically appropriate but creates challenges for communication. Whether frailty is a risk factor for gaps in communication among older adults and subsequent preventable adverse events is unknown.

Methods

We conducted a cross-sectional analysis of community-dwelling US adults ≥ 65 years of age in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who attended an in-home study examination in 2013-2016 and completed a survey on experiences with healthcare in 2017-2018 (n = 5,024). Using 5 frailty indicators (low body mass index, exhaustion, slow walk, weakness, and history of falls), we characterized participants into 3 mutually exclusive groups: not frail (0 indicators), intermediate-frail (1-2 indicators), and frail (3-5 indicators). We used survey data on self-reported gaps in care coordination and self-reported adverse events that participants attributed to poor communication among providers (a drug-drug interaction, repeat testing, an emergency department visit, or a hospital admission).

Results

Overall, 2,398 (47.7%) participants were not frail, 2,436 (48.5%) were intermediate-frail, and 190 (3.8%) were frail. The prevalence of any gap in care coordination was 37.0%, 40.8%, and 51.1% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted prevalence ratio (PR) for any gap in care coordination among intermediate-frail and frail versus not frail participants was 1.09 (95% confidence interval [95%CI] 1.02-1.18) and 1.34 (95%CI 1.15-1.56), respectively. The prevalence of any preventable adverse event was 7.0%, 11.3% and 20.0% among participants who were not frail, intermediate-frail and frail, respectively. The adjusted PR for any preventable adverse event among those who were intermediate-frail and frail versus not frail was 1.47 (95%CI 1.22-1.77) and 2.24 (95%CI 1.60-3.14), respectively.

Conclusion

Among older adults, frailty is associated with an increased prevalence for self-reported gaps in care coordination and preventable adverse events. Targeted interventions to address patient-reported concerns regarding care coordination among intermediate-frail and frail older adults may be warranted.

SUBMITTER: Akinyelure OP

PROVIDER: S-EPMC9164877 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Frailty, gaps in care coordination, and preventable adverse events.

Akinyelure Oluwasegun P OP Colvin Calvin L CL Sterling Madeline R MR Safford Monika M MM Muntner Paul P Colantonio Lisandro D LD Kern Lisa M LM

BMC geriatrics 20220602 1

<h4>Background</h4>Older US adults often receive care from multiple ambulatory providers. Seeing multiple providers may be clinically appropriate but creates challenges for communication. Whether frailty is a risk factor for gaps in communication among older adults and subsequent preventable adverse events is unknown.<h4>Methods</h4>We conducted a cross-sectional analysis of community-dwelling US adults ≥ 65 years of age in the REasons for Geographic And Racial Differences in Stroke (REGARDS) st ...[more]

PMID: 35655193

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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.

Project description:BackgroundWhether patients' reports of gaps in care coordination reflect clinically significant problems is unclear.ObjectiveTo determine any association between patient-reported gaps in care coordination and patient-reported preventable adverse outcomes.Design and participantsWe administered a cross-sectional survey on experiences with healthcare to participants in the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who were ≥ 65 years old. Of the 15,817 participants in REGARDS at the time of our survey (August 2017-November 2018), 11,138 completed the survey. We restricted the sample to participants who reported ≥ 2 ambulatory visits and ≥ 2 ambulatory providers in the past year (N = 7568).Main measuresWe considered 7 gaps in ambulatory care coordination, elicited with previously validated questions. We considered 4 outcomes: (1) a test that was repeated because the doctor did not have the result of the first test, (2) a drug-drug interaction that occurred due to multiple prescribers, (3) an emergency department visit that could have been prevented by better communication among providers, and (4) a hospital admission that could have been prevented by better communication among providers. We used logistic regression to determine the association between ≥ 1 gap in care coordination and ≥ 1 preventable outcome, adjusting for potential confounders.Key resultsThe average age of the sample was 77.0 years; 55% were female, and 34% were African-American. More than one-third of participants (38.1%) reported ≥ 1 gap in care coordination and nearly one-tenth (9.8%) reported ≥ 1 preventable outcome. Having ≥ 1 gap in care coordination was associated with an increased odds of ≥ 1 preventable outcome (adjusted odds ratio 1.55; 95% confidence interval 1.33, 1.81).ConclusionsParticipants' reports of gaps in care coordination were associated with an increased odds of preventable adverse outcomes. Future interventions should leverage patients' observations to detect and resolve gaps in care coordination.

Project description:BackgroundFragmentation of care (that is, the use of multiple ambulatory providers without a dominant provider) may increase the risk of gaps in communication among providers. However, it is unclear whether people with fragmented care (as measured in claims) perceive more gaps in communication among their providers. It is also unclear whether people who perceive gaps in communication experience them as clinically significant (that is, whether they experience adverse events that they attribute to poor coordination).MethodsWe conducted a longitudinal study using data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, including a survey on perceptions of healthcare (2017-2018) and linked fee-for-service Medicare claims (for the 12 months prior to the survey) (N = 4,296). We estimated correlation coefficients to determine associations between claims-based and self-reported numbers of ambulatory visits and ambulatory providers. We then used logistic regression to determine associations between claims-based fragmentation (measured with the reversed Bice-Boxerman Index [rBBI]) and self-reported gaps in care coordination and, separately, between claims-based fragmentation and self-reported adverse events that the respondent attributed to poor coordination.ResultsThe correlation coefficient between claims-based and self-report was 0.37 for the number of visits and 0.38 for the number of providers (p < 0.0001 for each). Individuals with high fragmentation by claims (rBBI ≥ 0.85) had a 23% increased adjusted odds of reporting any gap in care coordination (95% CI 3%, 48%) and, separately, a 61% increased adjusted odds of reporting an adverse event that they attributed to poor coordination (95% CI 11%, 134%).ConclusionsMedicare beneficiaries with claims-based fragmentation also report gaps in communication among their providers. Moreover, these gaps appear to be clinically significant, with beneficiaries reporting adverse events that they attribute to poor coordination.

Project description:ImportanceElectronic frailty index (eFI) is an automated electronic health record (EHR)-based tool that uses a combination of clinical encounters, diagnosis codes, laboratory workups, medications, and Medicare annual wellness visit data as markers of frailty status. The association of eFI with postanesthesia adverse outcomes has not been evaluated.ObjectiveTo examine the association of frailty, calculated as eFI at the time of the surgical procedure and categorized as fit, prefrail, or frail, with adverse events after elective noncardiac surgery.Design, setting, and participantsThis cohort study was conducted at a tertiary care academic medical center in Winston-Salem, North Carolina. The cohort included patients 55 years or older who underwent noncardiac surgery of at least 1 hour in duration between October 1, 2017, and June 30, 2021.ExposureFrailty calculated by the eFI tool. Preoperative eFI scores were calculated based on available data 1 day prior to the procedure and categorized as fit (eFI score: ≤0.10), prefrail (eFI score: >0.10 to ≤0.21), or frail (eFI score: >0.21).Main outcomes and measuresThe primary outcome was a composite of the following 8 adverse component events: 90-item Patient Safety Indicators (PSI 90) score, hospital-acquired conditions, in-hospital mortality, 30-day mortality, 30-day readmission, 30-day emergency department visit after surgery, transfer to a skilled nursing facility after surgery, or unexpected intensive care unit admission after surgery. Secondary outcomes were each of the component events of the composite.ResultsOf the 33 449 patients (median [IQR] age, 67 [61-74] years; 17 618 females [52.7%]) included, 11 563 (34.6%) were classified as fit, 15 928 (47.6%) as prefrail, and 5958 (17.8%) as frail. Using logistic regression models that were adjusted for age, sex, race and ethnicity, and comorbidity burden, patients with prefrail (odds ratio [OR], 1.24; 95% CI, 1.18-1.30; P < .001) and frail (OR, 1.71; 95% CI, 1.58-1.82; P < .001) statuses were more likely to experience postoperative adverse events compared with patients with a fit status. Subsequent adjustment for all other potential confounders or covariates did not alter this association. For every increase in eFI of 0.03 units, the odds of a composite of postoperative adverse events increased by 1.06 (95% CI, 1.03-1.13; P < .001).Conclusions and relevanceThis cohort study found that frailty, as measured by an automatically calculated index integrated within the EHR, was associated with increased risk of adverse events after noncardiac surgery. Deployment of eFI tools may support screening and possible risk modification, especially in patients who undergo high-risk surgery.

Project description:While multiple studies have demonstrated variations in the quality of cancer care in the USA, payers are increasingly assessing structure-level and process-level measures to promote quality improvement. Hospital-acquired adverse events are one such measure and we examine their national trends after major cancer surgery.Retrospective, cross-sectional analysis of a weighted-national estimate from the Nationwide Inpatient Sample (NIS) undergoing major oncological procedures (colectomy, cystectomy, oesophagectomy, gastrectomy, hysterectomy, lung resection, pancreatectomy and prostatectomy). The Agency for Healthcare Research and Quality Patient Safety Indicators (PSIs) were utilised to identify trends in hospital-acquired adverse events.Secondary and tertiary care, US hospitals in NIS PARTICIPANTS: A weighted-national estimate of 2 508 917 patients (>18 years, 1999-2009) from NIS.Hospital-acquired adverse events.324 852 patients experienced ?1-PSI event (12.9%). Patients with ?1-PSI experienced higher rates of in-hospital mortality (OR 19.38, 95% CI 18.44 to 20.37), prolonged length of stay (OR 4.43, 95% CI 4.31 to 4.54) and excessive hospital-charges (OR 5.21, 95% CI 5.10 to 5.32). Patients treated at lower volume hospitals experienced both higher PSI events and failure-to-rescue rates. While a steady increase in the frequency of PSI events after major cancer surgery has occurred over the last 10 years (estimated annual % change (EAPC): 3.5%, p<0.001), a concomitant decrease in failure-to-rescue rates (EAPC -3.01%) and overall mortality (EAPC -2.30%) was noted (all p<0.001).Over the past decade, there has been a substantial increase in the national frequency of potentially avoidable adverse events after major cancer surgery, with a detrimental effect on numerous outcome-level measures. However, there was a concomitant reduction in failure-to-rescue rates and overall mortality rates. Policy changes to improve the increasing burden of specific adverse events, such as postoperative sepsis, pressure ulcers and respiratory failure, are required.

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Dataset Information

Frailty, gaps in care coordination, and preventable adverse events.

Background

Methods

Results

Conclusion

Publications

Frailty, gaps in care coordination, and preventable adverse events.

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