Risk factors of readmission after coronary artery bypass graft surgery: A case-control study

Alimadadi, Elham; Abbasinia, Mohammad; Mohammadbeigi, Abolfazl; Abbasi, Mohammad

doi:10.18502/npt.v7i4.4039

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After the allocation of the patients to the two groups, the CCM was implemented for the patients in the intervention group through the four steps of orientation, sensitization, control, and evaluation (Table 1). The instructional content of the intervention program was prepared based on a review of the latest articles and books and in cooperation with subject-matter experts (28)(29)(30)(31).…”

Section: Andmentioning

confidence: 99%

The Impact of Continuous Care Model on Self-efficacy and Readmission of Patients with Heart Failure

et al. 2022

View full text Add to dashboard Cite

Background: Patients with heart failure (HF) need continuous medical care, including regular follow-up, training, and information acquisition to increase self-care capacity. Adherence to self-care behaviors reduces patient readmission Objectives: This study examined the impact of the continuous care model (CCM) on self-efficacy and readmission of patients hospitalized with HF. Methods: This quasi-experimental study was conducted on patients with HF visiting two teaching hospitals in southeastern Iran in 2021. The participants were 70 patients who were selected using convenience sampling and were placed into two control and intervention groups, each with 35 patients through limited random sampling. The patients in the control group received routine care, but the CCM was performed for the patients of the intervention group in the form of individual training for 6 sessions in the hospital and after discharge and then through telephone follow-up once a week until the end of the twelfth week. The instruments used to collect the data were a demographic information form that assessed patient readmission and their demographic information and Sullivan's Cardiac Self-Efficacy Scale. The collected data were analyzed with SPSS software (version 22) using the chi-square test, independent and paired samples t-test, and analysis of covariance at the significance level of P < 0.05. Results: Analysis of covariance showed that the mean self-efficacy score of the patients with HF was significantly different between the two groups after implementing continuous care (P = 0.001). The results of the independent samples t-test suggested that the mean and standard deviation of readmission frequencies in the control group (1.03 ± 1.01) were significantly higher than the mean readmission frequencies of the patients in the intervention group (0.34 ± 0.68) (P = 0.001). Conclusions: Given the positive and significant effect of the CCM on increasing patient self-efficacy and reducing the frequency of readmissions, and considering the ease, applicability, and low cost of this intervention, relevant authorities need to make effective planning and policies to implement the CCM for patients with HF.

show abstract

Section: Andmentioning

confidence: 99%

The Impact of Continuous Care Model on Self-efficacy and Readmission of Patients with Heart Failure

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Even if the share of preventable hospitalizations is sizable and larger than calculated by MEDPAC (2013), it is still necessary to be able to identify these cases ex ante to respond in an efficient manner. However, common approaches to identifying potentially preventable readmissions ex ante are often not very accurate (Alimadadi et al, 2020;Kansagara et al, 2011). The uncertainty over the share of readmissions that are preventable and the difficulty of identifying them ex ante suggests that hospitals have limited ability to target admissions amenable to interventions to reduce potentially preventable readmissions.…”

Section: Structure Of Hrrp Incentivementioning

confidence: 99%

Did the Hospital Readmissions Reduction Program Reduce Readmissions? An Assessment of Prior Evidence and New Estimates

Ziedan

Kaestner

2021

Eval Rev

View full text Add to dashboard Cite

In this article, we provide a comprehensive, empirical assessment of the hypothesis that the Hospital Readmissions Reduction Program (HRRP) affected hospital readmissions. In doing so, we provide evidence as to the validity of prior empirical approaches used to evaluate the HRRP and we present results from a previously unused approach to study this research question—a regression-kink design. Results of our analysis document that the empirical approaches used in most prior research assessing the efficacy of the HRRP often lack internal validity. Therefore, results from these studies may not be informative about the causal consequences of the HRRP. Results from our regression-kink analysis, which we validate, suggest that the HRRP had little effect on hospital readmissions. This finding contrasts with the results of most prior studies, which report that the HRRP significantly reduced readmissions. Our finding is consistent with conceptual considerations related to the assumptions underlying HRRP penalty: in particular, the difficulty of identifying preventable readmissions, the highly imperfect risk adjustment that affects the penalty determination, and the absence of proven tools to reduce readmissions.

show abstract

“…Even if the share or preventable hospitalizations is sizable and larger than calculated by MEDPAC (2018), it is still necessary to be able to identify these cases ex ante to respond in an efficient manner. However, common approaches to identifying potentially preventable readmissions ex ante are often not very accurate (Kansagara et al 2011;Elham et al 2020). The uncertainty over the share of readmissions that are preventable and the difficulty of identifying them ex ante suggests that hospitals have limited ability to target admissions amenable to interventions to reduce potentially preventable readmissions.…”

Section: Will a Hospital Respond?mentioning

confidence: 99%

“…It is important to note that the lack of validity of the IV approach that uses baseline readmissions as an instrument also provides evidence that DD intention-to-treat analyses based on classifying hospitals using baseline readmissions are also invalid (e.g., Demiralp Table 5 presents IV estimates from the model of equations ( 13) and ( 14). 18 This is a just identified model with the excluded instrument of baseline readmissions interacted with a dummy variable indicating the post-penalty period. Several other interactions between baseline characteristics (shares of race/ethnicity of patients; bed size of hospital; whether hospital is a teaching institution; and share of patients with diabetes and pneumonia) and a post-penalty dummy variable are included in both the first and second stages.…”

mentioning

confidence: 99%

Did the Hospital Readmissions Reduction Program Reduce Readmissions? An Assessment of Prior Evidence and New Estimates

Ziedan¹,

Kaestner²

2021

View full text Add to dashboard Cite

In this article, we provide a comprehensive, empirical assessment of the hypothesis that the Hospital Readmissions Reduction Program (HRRP) affected hospital readmissions. In doing so, we provide evidence as to the validity of prior empirical approaches used to evaluate the HRRP and we present results from a previously unused approach to study this research question-a regression-kink design. Results of our analysis document that the empirical approaches used in most prior research assessing the efficacy of the HRRP often lack internal validity. Therefore, results from these studies may not be informative about the causal consequences of the HRRP. Results from our regression-kink analysis, which we validate, suggest that the HRRP had little effect on hospital readmissions. This finding contrasts with the results of most prior studies, which report that the HRRP significantly reduced readmissions. Our finding is consistent with conceptual considerations related to the assumptions underlying HRRP penalty; in particular, the difficulty of identifying preventable readmissions, the highly imperfect risk adjustment that affects the penalty determination and the absence of proven tools to reduce readmissions.

show abstract

Risk factors of readmission after coronary artery bypass graft surgery: A case-control study

Cited by 4 publications

References 0 publications

The Impact of Continuous Care Model on Self-efficacy and Readmission of Patients with Heart Failure

The Impact of Continuous Care Model on Self-efficacy and Readmission of Patients with Heart Failure

Did the Hospital Readmissions Reduction Program Reduce Readmissions? An Assessment of Prior Evidence and New Estimates

Did the Hospital Readmissions Reduction Program Reduce Readmissions? An Assessment of Prior Evidence and New Estimates

Contact Info

Product

Resources

About