Readmissions after major cancer surgery among older adults

Impact of early primary care physician follow-up on hospital readmission following gastrointestinal cancer surgery

BACKGROUND

We sought to examine the association between primary care physician (PCP) follow-up on readmission following gastrointestinal (GI) cancer surgery.

METHODS

Patients who underwent surgery for GI cancer were identified using the Surveillance, Epidemiology and End Results (SEER) database. Multivariable regression was performed to examine the association between early PCP follow-up and hospital readmission.

RESULTS

Among 60 957 patients who underwent GI cancer surgery, 19 661 (32.7%) visited a PCP within 30-days after discharge. Of note, patients who visited PCP were less likely to be readmitted within 90 days (PCP visit: 17.4% vs. no PCP visit: 28.2%; p < 0.001). Median postsurgical expenditures were lower among patients who visited a PCP (PCP visit: $4116 [IQR: $670-$13 860] vs. no PCP visit: $6700 [IQR: $870-$21 301]; p < 0.001). On multivariable analysis, PCP follow-up was associated with lower odds of 90-day readmission (OR: 0.52, 95% CI: 0.50-0.55) (both p < 0.001). Moreover, patients who followed up with a PCP had lower risk of death at 90-days (HR: 0.50, 95% CI: 0.40-0.51; p < 0.001).

CONCLUSION

PCP follow-up was associated with a reduced risk of readmission and mortality following GI cancer surgery. Care coordination across in-hospital and community-based health platforms is critical to achieve optimal outcomes for patients.

A Single-Institution Analysis of Targeted Colorectal Surgery Enhanced Recovery Pathway Strategies That Decrease Readmissions

BACKGROUND

Decreasing readmissions is an important quality improvement strategy. Targeted interventions that effectively decrease readmissions have not been fully investigated and standardized.

OBJECTIVE

The purpose of this study was to assess the effectiveness of interventions designed to decrease readmissions after colorectal surgery.

DESIGN

This was a retrospective comparison of patients before and after the implementation of interventions.

SETTING

This study was conducted at a single institution dedicated enhanced recovery pathway colorectal surgery service.

PATIENTS

The study group received quality review interventions that were designed to decrease readmissions: preadmission class upgrades, a mobile phone app, a pharmacist-led pain management strategy, and an early postdischarge clinic. The control group was composed of enhanced recovery patients before the interventions. Propensity score weighting was used to adjust patient characteristics and predictors for imbalances.

MAIN OUTCOME MEASURE

The primary outcome was 30-day readmissions. Secondary outcomes included emergency department visits.

RESULTS

There were 1052 patients in the preintervention group and 668 patients in the postintervention group. After propensity score weighting, the postintervention cohort had a significantly lower readmission rate (9.98% vs 17.82%, p < 0.001) and emergency department visit rate (14.58% vs 23.15%, p < 0.001) than the preintervention group, and surgical site infection type I/II was significantly decreased as a readmission diagnosis (9.46% vs 2.43%, p = 0.043). Median time to readmission was 6 (interquartile 3-11) days in the preintervention group and 8 (3-17) days in the postintervention group (p = 0.21). Ileus, acute kidney injury, and surgical site infection type III were common reasons for readmissions and emergency department visits.

LIMITATIONS

A single-institution study may not be generalizable.

CONCLUSION

Readmission bundles composed of targeted interventions are associated with a decrease in readmissions and emergency department visits after enhanced recovery colorectal surgery. Bundle composition may be institution dependent. Further study and refinement of bundle components are required as next-step quality metric improvements. See Video Abstract at http://links.lww.com/DCR/B849.

ANLISIS EN UNA SOLA INSTITUCIN DE LAS CIRUGAS COLORECTALES CON VAS DE RECUPERACIN DIRIGIDA AUMENTADA QUE REDUCEN LOS REINGRESOS

ANTECEDENTES:La reducción de los reingresos es una importante estrategia de mejora de la calidad. Las intervenciones dirigidas que reducen eficazmente los reingresos no se han investigado ni estandarizado por completo.OBJETIVO:El propósito de este estudio fue evaluar la efectividad de las intervenciones diseñadas para disminuir los reingresos después de la cirugía colorrectal.DISEÑO:Comparación retrospectiva de pacientes antes y después de la implementación de las intervenciones.ESCENARIO:Una sola institución dedicada al Servicio de cirugía colorrectal con vías de recuperación dirigida aumentadaPACIENTES:El grupo de estudio recibió intervenciones de revisión de calidad que fueron diseñadas para disminuir los reingresos: actualizaciones de clases previas a la admisión, una aplicación para teléfono móvil, una estrategia de manejo del dolor dirigida por farmacéuticos y alta temprana de la clínica. El grupo de control estaba compuesto por pacientes con recuperación mejorada antes de las intervenciones. Se utilizó la ponderación del puntaje de propensión para ajustar las características del paciente y los predictores de los desequilibrios.PARÁMETRO DE RESULTADO PRINCIPAL:El resultado primario fueron los reingresos a los 30 días. Los resultados secundarios incluyeron visitas al servicio de urgencias.RESULTADOS:Hubo 1052 pacientes en el grupo de preintervención y 668 pacientes en el grupo de posintervención. Después de la ponderación del puntaje de propensión, la cohorte posterior a la intervención tuvo una tasa de reingreso significativamente menor (9,98% frente a 17,82%, p <0,001) y una tasa de visitas al servicio de urgencias (14,58% frente a 23,15%, p <0,001) que el grupo de preintervención y la infección del sitio quirúrgico tipo I / II se redujo significativamente como diagnóstico de reingreso (9,46% frente a 2,43%, p = 0,043). La mediana de tiempo hasta la readmisión fue de 6 [IQR 3, 11] días en el grupo de preintervención y de 8 [3, 17] días en el grupo de posintervención (p = 0,21). El íleo, la lesión renal aguda y la infección del sitio quirúrgico tipo III fueron motivos frecuentes de reingresos y visitas al servicio de urgencias.LIMITACIONES:El estudio de una sola institución puede no ser generalizable.CONCLUSIÓNES:Los paquetes de readmisión compuestos por intervenciones dirigidas se asocian con una disminución en las readmisiones y las visitas al departamento de emergencias después de una cirugía colorrectal con vías de recuperación dirigida aumentada. La composición del paquete puede depender de la institución. Se requieren más estudios y refinamientos de los componentes del paquete como siguiente paso de mejora de la métrica de calidad. Consulte Video Resumen en http://links.lww.com/DCR/B849. (Traducción-Dr Yolanda Colorado).

Thirty-day hospital readmission rate, reasons, and risk factors after acute inpatient cancer rehabilitation

Objectives

To evaluate the 30‐day hospital readmission rate, reasons, and risk factors for patients with cancer who were discharged to home setting after acute inpatient rehabilitation.

Design, Setting, and Participants

This was a secondary retrospective analysis of participants in a completed prospective survey study that assessed the continuity of care and functional safety concerns upon discharge and 30 days after discharge in adults. Patients were enrolled from September 5, 2018, to February 7, 2020, at a large academic quaternary cancer center with National Cancer Institute Comprehensive Cancer Center designation.

Main Outcomes and Measures

Thirty‐day hospital readmission rate, descriptive summary of reasons for readmissions, and statistical analyses of risk factors related to readmission.

Results

Fifty‐five (21%) of the 257 patients were readmitted to hospital within 30 days of discharge from acute inpatient rehabilitation. The reasons for readmissions were infection (20, 7.8%), neoplasm (9, 3.5%), neurological (7, 2.7%), gastrointestinal disorder (6, 2.3%), renal failure (3, 1.1%), acute coronary syndrome (3, 1.1%), heart failure (1, 0.4%), fracture (1, 0.4%), hematuria (1, 0.4%), wound (1, 0.4%), nephrolithiasis (1, 0.4%), hypervolemia (1, 0.4%), and pain (1, 0.4%). Multivariate logistic regression modeling indicated that having a lower locomotion score (OR = 1.29; 95% CI, 1.07–1.56; p = 0.007) at discharge, having an increased number of medications (OR = 1.12; 95% CI, 1.01–1.25; p = 0.028) at discharge, and having a lower hemoglobin at discharge (OR = 1.31; 95% CI, 1.03–1.66; p = 0.031) were independently associated with 30‐day readmission.

Conclusion and Relevance

Among adult patients with cancer discharged to home setting after acute inpatient rehabilitation, the 30‐day readmission rate of 21% was higher than that reported for other rehabilitation populations but within the range reported for patients with cancer who did not undergo acute inpatient rehabilitation.

Research is needed to determine the rates of and risk factors for 30‐day hospital readmission after acute inpatient cancer rehabilitation to understand the nature of this problem and to decrease costs associated with readmissions. Among adult patients with cancer discharged to a home setting after acute inpatient rehabilitation, the 30‐day readmission rate of 21% was higher than that reported for other rehabilitation populations but within the range reported for patients with cancer who did not undergo acute inpatient rehabilitation. Cancer rehabilitation patients may have unique risk factors for readmission.

Readmissions after ovarian cancer cytoreduction surgery: The first 30 days and beyond

BACKGROUND AND OBJECTIVES

Postoperative readmissions are often used to assess quality of surgical care. This study compared 30-day vs 31- to 90-day readmission following surgery for ovarian, fallopian tube, or primary peritoneal cancer.

METHODS

This retrospective study of the 2010-2015 Nationwide Readmissions Database characterized 90-day readmissions following cytoreductive surgery for these cancers. Each patient's first postoperative hospitalization was included. Univariate analysis compared patient demographics and reasons for readmission. Multivariable regression identified independent predictors of readmission.

RESULTS

Of an estimated 76 652 patients, 10 264 (13.4%) were readmitted within 30 days, and 6942 (9.1%) between 31 and 90 days. The 30-day readmissions were more frequently associated with postoperative infection, while 31- to 90-day readmissions were more frequently associated with renal or hematologic diagnoses. Predictors of any 90-day readmission included index hospitalization longer than 7 days (adjusted odds ratio (AOR) 1.61 [1.48-1.75], P < .001), extended surgical procedure (AOR 1.41 [1.30-1.53], P < .001), pulmonary circulation disorder (AOR = 1.34 [1.13-1.60], P = .001), and diabetes mellitus (AOR = 1.12 [1.02-1.24], P = .020).

CONCLUSIONS

Readmission rates remain high during the 31- to 90-day postoperative period in ovarian cancer patients, although these readmissions are less frequently related to postoperative complications. Prospective study is merited to optimize surveillance beyond the initial 30 days after ovarian cancer surgery.

Unplanned readmission after lung resection surgery: A systematic review

Urgent readmissions have a major impact on outcomes in patient health and healthcare costs. The associated risk factors have generally been infrequently studied. The main objective of the present work is to identify pre- and perioperative determinants of readmission; the secondary aim was to determine readmission rate, identification of readmission diagnoses, and impact of readmissions on survival rates in related analytical studies. The review was performed through a systematic search in the main bibliographic databases. In the end, 19 papers met the selection criteria. The main risk factors were: sociodemographic patient variables; comorbidities; type of resection; postoperative complications; long stay. Despite the great variability in the published studies, all highlight the importance of reducing readmission rates because of the significant impact on patients and the healthcare system.

Defunctioning Stomas Result in Significantly More Short-Term Complications Following Low Anterior Resection for Rectal Cancer

BACKGROUND

Studies suggest that defunctioning stomas reduce the rate of anastomotic leakage and urgent reoperations after anterior resection. Although the magnitude of benefit appears to be limited, there has been a trend in recent years towards routinely creating defunctioning stomas. However, little is known about post-operative complication rates in patients with and without a defunctioning stoma. We compared overall short-term post-operative complications after low anterior resection in patients managed with a defunctioning stoma to those managed without a stoma.

METHODS

A retrospective cohort study of patients undergoing elective low anterior resection of the rectum for rectal cancer. The primary outcome was overall 90-day post-operative complications.

RESULTS

Two hundred and three patients met the inclusion criteria for low anterior resection. One hundred and forty (69%) had a primary defunctioning stoma created. 45% received neoadjuvant radiotherapy. Patients with a defunctioning stoma had significantly more complications (57.1 vs 34.9%, p = 0.003), were more likely to suffer multiple complications (17.9 vs 3.2%, p < 0.004) and had longer hospital stays (13.0 vs 6.9 days, p = 0.005) than those without a stoma. 19% experienced a stoma-related complication, 56% still had a stoma 1 year after their surgery, and 26% were left with a stoma at their last follow-up. Anastomotic leak rates were similar but there was a significantly higher reoperation rate among patients managed without a defunctioning stoma.

CONCLUSION

Patients selected to have a defunctioning stoma had an absolute increase of 22% in overall post-operative complications compared to those managed without a stoma. These findings support the more selective use of defunctioning stomas.

STUDY REGISTRATION

Registered at www.researchregistry.com (UIN: researchregistry3412).

Assessment of Between-Hospital Variation in Readmission and Mortality After Cancer Surgical Procedures

Importance

Although current federal quality improvement programs do not include cancer surgery, the Centers for Medicare & Medicaid Services and other payers are considering extending readmission reduction initiatives to include these and other common high-cost episodes.

Objectives

To quantify between-hospital variation in quality-related outcomes and identify hospital characteristics associated with high and low performance.

Design, Setting, and Participants

This retrospective cohort study obtained data through linkage of the California Cancer Registry to hospital discharge claims databases maintained by the California Office of Statewide Health Planning and Development. All 351 acute care hospitals in California at which 1 or more adults underwent curative intent surgery between January 1, 2007, and December 31, 2011, with analyses finalized July 15, 2018, were included. A total of 138 799 adults undergoing surgery for colorectal, breast, lung, prostate, bladder, thyroid, kidney, endometrial, pancreatic, liver, or esophageal cancer within 6 months of diagnosis, with an American Joint Committee on Cancer stage of I to III at diagnosis, were included.

Main Outcomes and Measures

Measures included adjusted odds ratios and variance components from hierarchical mixed-effects logistic regression analyses of in-hospital mortality, 90-day readmission, and 90-day mortality, as well as hospital-specific risk-adjusted rates and risk-adjusted standardized rate ratios for hospitals with a mean annual surgical volume of 10 or more.

Results

Across 138 799 patients at the 351 included hospitals, 8.9% were aged 18 to 44 years and 45.9% were aged 65 years or older, 57.4% were women, and 18.2% were nonwhite. Among these, 1240 patients (0.9%) died during the index admission. Among 137 559 patients discharged alive, 19 670 (14.3%) were readmitted and 1754 (1.3%) died within 90 days. After adjusting for patient case-mix differences, evidence of statistically significant variation in risk across hospitals was identified, as characterized by the variance of the random effects in the mixed model, for all 3 metrics (P < .001). In addition, substantial variation was observed in hospital performance profiles: across 260 hospitals with a mean annual surgical volume of 10 or more, 59 (22.7%) had lower-than-expected rates for all 3 metrics, 105 (40.4%) had higher-than-expected rates for 2 of the 3, and 19 (7.3%) had higher-than-expected rates for all 3 metrics.

Conclusions and Relevance

Accounting for patient case-mix differences, there appears to be substantial between-hospital variation in in-hospital mortality, 90-day readmission, and 90-day mortality after cancer surgical procedures. Recognizing the multifaceted nature of hospital performance through consideration of mortality and readmission simultaneously may help to prioritize strategies for improving surgical outcomes.

Quality Indicators: Measurement and Predictors in Head and Neck Cancer Free Flap Patients

Objective

To determine the predictors of length of stay (LOS), readmission within 30 days, and unplanned return to the operating room (OR) within 30 days in head and neck free flap patients.

Study Design

Case series with chart review.

Setting

Tertiary academic cancer hospital.

Subjects and Methods

All head and neck free flap patients at The Ohio State University (OSU, 2006-2012) were assessed. Multivariable logistic regression to assess the impact of patient factors, flap and wound factors, and intraoperative factors on the aforementioned quality metric outcomes.

Results

In total, 515 patients were identified, of whom 66% had oral cavity cancers, 33% had recurrent tumors, and 28% underwent primary radiotherapy. Of the patients, 31.5% had a LOS greater than 9 days, predicted by longer operative time, oral cavity and pharyngeal tumor sites, blood transfusion, diabetes mellitus, and any complication. A total of 12.6% of patients were readmitted within 30 days predicted by absent OSU preoperative assessment clinic attendance and any complication, and 14.8% of patients had an unplanned OR return predicted by advanced age.

Conclusions

When assessing quality metrics, adjustment for the complexity involved in managing patients with head and neck cancer with a high comorbidity index, clean contaminated wounds, and a high degree of primary radiotherapy is important. Patients seen in a preoperative assessment clinic had a lower risk of readmission postoperatively, and this should be recommended for all head and neck free flap patients. Quality improvement projects should focus on predictors and prevention of complications as this was the number one predictor of both increased length of stay and readmission.

Radiotherapy for cancer using X-ray fluorescence emitted from iodine

Radiation treatment is popular and the apparatus is already available in many hospitals. Conventional radiation treatment by itself is not sufficient to achieve complete cure. Therefore, radiosensitizers have been developed to enhance the therapeutic effects of the treatment. The concept of radiosensitization with high-Z-elements was first considered many decades ago. However, radiosensitizers are not commonly used in the clinical setting. Here, we propose a radiotherapy method that utilizes fluorescent X-ray emissions from iodine. This approach should achieve a greater therapeutic effect than that of conventional radiotherapy treatments. In our radiotherapy, iomeprol was used as the iodine-donor. The X-ray apparatus with copper and aluminum filters could be used for the X-ray irradiation, the apparatus is not needed for exclusive use. The X-ray apparatus is only required to prepare the copper and aluminum filters. As proof-of-concept, we show that tumor growth was attenuated using this treatment with iomeprol.

Understanding readmissions following operations of the thyroid and parathyroid glands

BACKGROUND

In anticipation of bundled-payment models for thyroid and parathyroid disease, a better understanding of resource utilization following surgery is required. We sought to characterize the use of hospital services following such operations using an analysis of readmissions.

METHODS

Patients age 18+years who underwent a thyroid or parathyroid operation in CA or NY (2008-2011) were classified by procedure type. Primary outcome was readmission within 90 days. Univariate and multivariable logistic regression were used to determine factors associated with readmission. Subset analysis was performed for thyroid cancer patients.

RESULTS

Among 59,427 patients, 34.2% had thyroid cancer. Eleven percent (n = 6462) were readmitted within 90 days, with 27% readmitted to a different hospital than the index. 66.2% of thyroid cancer patients were readmitted for a related condition.

CONCLUSION

Eleven percent of patients are admitted to the hospital within 90 days of an operation in the thyroid or parathyroid glands. Patient factors and diseases necessitate the use of hospital services. Bundled payments must consider the patients' needs for hospital-based services in calculating costs for surgically treated endocrine disorders.

Development of a Nonparametric Predictive Model for Readmission Risk in Elderly Adults After Colon and Rectal Cancer Surgery

OBJECTIVES

Primary objective: to use advanced nonparametric techniques to determine risk factors for readmission after colorectal cancer surgery in elderly adults.

SECONDARY OBJECTIVE

to compare this methodology with traditional parametric methods.

DESIGN

Using data from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP), nonparametric techniques were used to evaluate the risk of readmission in elderly adults undergoing surgery for colorectal cancer in 2011 and 2012.

SETTING

More than 200 hospitals participating in the NSQIP database.

PARTICIPANTS

Individuals aged 65 and older who underwent surgery for colorectal cancer in 2011 and 2012 (N = 2,117).

MEASUREMENTS

Age-stratified robust nonparametric predictive model (classification and regression tree (CART) analysis) of 30-day readmission for elderly adults undergoing surgery for colorectal cancer.

RESULTS

Recent chemotherapy was the most important predictor of readmission in participants aged 65 to 74, with 20% of those with recent chemotherapy and 11% of with no recent chemotherapy being readmitted. Participants aged 75 to 84 who had recently undergone chemotherapy had a readmission rate of 23%, whereas those with no chemotherapy had a readmission rate of 9%. Being underweight was the greatest predictor of readmission (30%) in participants aged 85 and older. These methods were found to be more robust than traditional logistic regression.

CONCLUSION

Specific age-related preoperative factors help predict readmission in elderly adults undergoing colorectal cancer surgery. Results of the nonparametric CART analysis are better than traditional regression analysis and help physicians to clinically stratify based on age. This model may help identify individuals in whom intervention may be helpful in reducing readmission after surgery.

Vulnerable Hospitals and Cancer Surgery Readmissions: Insights into the Unintended Consequences of the Patient Protection and Affordable Care Act

BACKGROUND

Penalties from the Hospital Readmission Reduction Program can push financially strained, vulnerable patient-serving hospitals into additional hardship. In this study, we quantified the association between vulnerable hospitals and readmissions and examined the respective contributions of patient- and hospital-related factors.

METHODS

A total of 110,857 patients who underwent major cancer operations were identified from the 2004-2011 State Inpatient Database of California. Vulnerable hospitals were defined as either self-identified safety net hospitals (SNHs) or hospitals with a high percentage of Medicaid patients (high Medicaid hospitals [HMHs]). We used multivariable logistic regression to determine the association between vulnerable hospitals and readmission. Patient and hospital contributions to the elevation in odds of readmission were assessed by comparing estimates from models with different subsets of predictors.

RESULTS

Of the 355 hospitals, 13 were SNHs and 31 were HMHs. After adjusting for Hospital Readmission Reduction Program variables, SNHs had higher 30-day (odds ratio [OR] = 1.32; 95% CI, 1.18-1.47), 90-day (OR = 1.28; 95% CI, 1.18-1.38), and repeated readmissions (OR = 1.33; 95% CI, 1.18-1.49); HMHs also had higher 30-day (OR = 1.18; 95% CI, 1.05-1.32), 90-day (OR = 1.28; 95% CI, 1.16-1.42), and repeated readmissions (OR = 1.24; 95% CI, 1.01-1.54). Compared with patient characteristics, hospital factors accounted for a larger proportion of the increase in odds of readmission among SNHs (60% to 93% vs 24% to 39%), but a smaller proportion among HMHs (9% to 15% vs 60% to 115%).

CONCLUSIONS

Vulnerable status of hospitals is associated with higher readmission rates after major cancer surgery. These findings reinforce the call to account for socioeconomic variables in risk adjustments for hospitals who serve a disproportionate share of disadvantaged patients.

Fragmentation of Care after Surgical Discharge: Non-Index Readmission after Major Cancer Surgery

BACKGROUND

Despite national emphasis on care coordination, little is known about how fragmentation affects cancer surgery outcomes. Our study examines a specific form of fragmentation in post-discharge care-readmission to a hospital different from the location of the operation-and evaluates its causes and consequences among patients readmitted after major cancer surgery.

STUDY DESIGN

We used the State Inpatient Database of California (2004 to 2011) to identify patients who had major cancer surgery and their subsequent readmissions. Logistic models were used to examine correlates of non-index readmissions and to assess associations between location of readmission and outcomes, measured by in-hospital mortality and repeated readmission.

RESULTS

Of 9,233 readmissions within 30 days of discharge after major cancer surgery, 20.0% occurred in non-index hospitals. Non-index readmissions were associated with emergency readmission (odds ratio [OR] = 2.63; 95% CI, 2.26-3.06), rural residence (OR = 1.81; 95% CI, 1.61-2.04), and extensive procedures (eg hepatectomy vs proctectomy; OR = 2.77; CI, 2.08-3.70). Mortality was higher during non-index readmissions than index readmissions independent of patient, procedure, and hospital factors (OR = 1.31; 95% CI, 1.03-1.66), but was mitigated by adjusting for conditions present at readmission (OR = 1.24; 95% CI, 0.98-1.58). Non-index readmission predicted higher odds of repeated readmission within 60 days of discharge from the first readmission (OR = 1.16; 95% CI, 1.02-1.32), independent of all covariates.

CONCLUSIONS

Non-index readmissions constitute a substantial proportion of all readmissions after major cancer surgery. They are associated with more repeated readmissions and can be caused by severe surgical complications and increased travel burden. Overcoming disadvantages of non-index readmissions represents an opportunity to improve outcomes for patients having major cancer surgery.