Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging.

BACKGROUND: Changes in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined. OBJECTIVE: To evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions. DESIGN: Observational study. PARTICIPANTS: Patients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site; n = 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site; n = 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014. INTERVENTION: Mobile secure text messaging. MAIN MEASURES: Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition. KEY RESULTS: During the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (-0.77 days ; 95 % CI, -1.14, -0.40; P < 0.001). There was no significant difference in the odds of readmission (OR, 0.97; 95 % CI: 0.81, 1.17; P = 0.77). These findings were supported by multiple sensitivity analyses. CONCLUSIONS: Compared to a control group over time, hospitalized medical patients on inpatient services whose care providers and staff were offered mobile secure text messaging showed a relative decrease in length of stay and no change in readmissions.

Trends in Endovascular Aortic Aneurysm Repair Length of Stay over a Decade at a Tertiary Academic Institution.

BACKGROUND: Length of stay (LOS) is used as a quality metric to reduce cost and improve value of delivery of care. We sought to analyze trends in endovascular aortic aneurysm repair (EVAR) LOS at a tertiary academic institution over the last decade. METHODS: A retrospective review of prospectively collected data was performed. Infrarenal EVARs from 2001 to 2013 were divided into 3 groups: group I (2001-2004), EVARs were performed as part of clinical trials; group II (2005-2008), EVARs were referred to a tertiary referral center with the most experience with EVAR; group III (2009-2013), EVARs were referred to academic institutions in the presence of severe patient comorbidities. Trends in LOS and correlation with severity of illness (SOI) as based on All Patient Refined Diagnosis Related Groups and admission and/or disposition status were analyzed. LOS index (LOSI) at our institution was then compared with University HealthSystem Consortium (UHC) Hospitals over the past 3 years. RESULTS: A total of 1,265 EVARs were performed during this time period: 325 in group I, 547 in group II, and 393 in group III. The median LOS was 4 days (inter quartile range [IQR], 2-6) vs. 3 days (IQR, 2-5) ± 0.28 vs. 4 days (IQR, 3-7), respectively (P < 0.01). Although moderate SOI was fairly constant over time (P = 0.66), major and/or extreme SOI constituted a greater proportion of patients in group I, was reduced in group II, and was again increased in group III, P < 0.01. The complication rate paralleled this pattern (group I, 15.2%; group II, 8.6%; group III, 10.4%; P = 0.02). The percentage of patients discharged to nursing home and/or rehab was 5.7% in group I, 8.2% in group II, 11.5% in group III (P = 0.03). Cases that were performed urgently and/or emergently increased over time: 11.6% in group I, 14.9% in group II, 21.6% in group III (P = 0.01). The risk-adjusted LOSI at our institution was significantly greater (1.25) when compared with UHC hospitals (0.75). CONCLUSIONS: Our study suggests a relationship between time period of EVAR, SOI, complications, admission status, and LOS. Attention to these trends could be used to decrease LOS in an increasingly complex patient population.

The cost of major complications associated with immediate two-stage expander/implant-based breast reconstruction.

Previous studies assessing the costs associated with two stage expander/implant (E/I) reconstruction rarely include the cost of complications. The purpose of this study is to analyze the complication costs associated with a single institution experience with immediate E/I reconstruction. All immediate two stage E/I reconstructions at a single institution between March 2005-April 2011 were reviewed. The reconstruction database was retrospectively queried for reconstructive details, complications, and cost. Statistical analyses were performed to determine which complications significantly increased reconstructive cost. 327 E/I reconstructions in 195 patients were analyzed. The major complications analyzed included haematoma requiring evacuation (1.2% of reconstructions), major infection (6.1% of reconstructions), E/I exposure (3.1% of reconstructions), and E/I rupture (2.4% of reconstructions); 2.1% of patients experienced reconstructive failure. The mean reconstructive cost was $22,323 ± 9,072. Costs were increased $12,554 by E/I infection (p < 0.001) and $17,153 by prosthetic exposure (p < 0.001). Pre- or postoperative radiation or chemotherapy did not significantly affect reconstructive costs. Unplanned readmissions or unplanned visits to the operative room significantly increased total reconstructive costs (p < 0.001 and p < 0.001, respectively). In conclusion, prosthetic infection and prosthetic exposure significantly increased costs associated with immediate two-stage E/I reconstruction, as did unplanned readmissions and unplanned visits to the operative room. In the current state of the US healthcare system, it is becoming more important for surgeons to be conscious of the economic burden associated with poor reconstructive outcomes.

Propensity-matched, longitudinal outcomes analysis of complications and cost: comparing abdominal free flaps and implant-based breast reconstruction.

BACKGROUND: Choosing a breast reconstructive modality after mastectomy is an important step in the reconstructive process. The authors hypothesized that autologous tissue is associated with a greater success rate and cost efficacy over time, relative to implant reconstruction. STUDY DESIGN: A retrospective review was performed of patients undergoing free tissue (FF) transfer and expander implant (E/I) reconstruction between 2005 and 2011. Variables evaluated included comorbidities, surgical timing, complications, overall outcomes, unplanned reoperations, and costs. A propensity-matching technique was used to account for the nonrandomized selection of modality. RESULTS: A total of 310 propensity-matched patients underwent 499 reconstructions. No statistically significant differences in preoperative variables were noted between propensity-matched cohorts. Operative characteristics were similar between FF and E/I reconstructions. The E/I reconstruction was associated with a significantly higher rate of reconstructive failure (5.6% vs 1.2%, p < 0.001). Expander implant reconstructions were associated with higher rates of seroma (p = 0.009) and lower rates of medical complications (p = 0.02), but overall significantly higher rates of unplanned operations (15.5% vs 5.8%, p = 0.002). The total cost of reconstruction did not differ significantly between groups ($23,120.49 ± $6,969.56 vs $22,739.91 ± $9,727.79, p = 0.060), but E/I reconstruction was associated with higher total cost for secondary procedures ($10,157.89 ± $8,741.77 vs $3,200.71 ± $4,780.64, p < 0.0001) and a higher cost of unplanned revisions over time (p < 0.05). CONCLUSIONS: Our matched outcomes analysis does demonstrate a higher overall, 2-year success rate using FF reconstruction and a significantly lower rate of unplanned surgical revisions and cost. Although autologous reconstruction is not ideal for every patient, these findings can be used to enhance preoperative discussions when choosing a reconstructive modality.

Transfusion of fresh frozen plasma in critically ill surgical patients is associated with an increased risk of infection.

OBJECTIVE: To determine whether there is an association between transfusion of fresh frozen plasma and infection in critically ill surgical patients. DESIGN: Retrospective study. SETTING: A 24-bed surgical intensive care unit in a university hospital. PATIENTS: A total of 380 non-trauma patients who received fresh frozen plasma from 2004 to 2005 were compared with 2,058 nontrauma patients who did not receive fresh frozen plasma. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We calculated the relative risk of infectious complication for patients receiving and not receiving fresh frozen plasma. T-test allowed comparison of average units of fresh frozen plasma transfused to patients with and without infectious complications to describe a dose-response relationship. We used multivariate logistic regression analysis to evaluate the association between fresh frozen plasma and infectious complication, controlling for the effect of red blood cell transfusion, Acute Physiology and Chronic Health Evaluation II, and patient age. A significant association was found between transfusion of fresh frozen plasma and ventilator-associated pneumonia with shock (relative risk 5.42, 2.73-10.74), ventilator-associated pneumonia without shock (relative risk 1.97, 1.03-3.78), bloodstream infection with shock (relative risk 3.35, 1.69-6.64), and undifferentiated septic shock (relative risk 3.22, 1.84-5.61). The relative risk for transfusion of fresh frozen plasma and all infections was 2.99 (2.28-3.93). The t-test revealed a significant dose-response relationship between fresh frozen plasma and infectious complications (p = .02). Chi-square analysis showed a significant association between infection and transfusion of fresh frozen plasma in patients who did not receive concomitant red blood cell transfusion (p < .01), but this association was not significant in those who did receive red blood cells in addition to fresh frozen plasma. The association between fresh frozen plasma and infectious complications remained significant in the multivariate model, with an odds ratio of infection per unit of fresh frozen plasma transfused equal to 1.039 (1.013-1.067). This odds ratio resembled that noted for each unit of packed red blood cells, 1.074 (1.043-1.106). CONCLUSIONS: Transfusion of fresh frozen plasma is associated with an increased risk of infection in critically ill patients.