Measuring patient experiences on hospitalist and teaching services: Patient responses to a 30-day postdischarge questionnaire

Development and external validation of a predictive model for prolonged length of hospital stay in elderly patients undergoing lumbar fusion surgery: comparison of three predictive models

PURPOSE

This study aimed to develop a predictive model for prolonged length of hospital stay (pLOS) in elderly patients undergoing lumbar fusion surgery, utilizing multivariate logistic regression, single classification and regression tree (hereafter, "classification tree") and random forest machine-learning algorithms.

METHODS

This study was a retrospective review of a prospective Geriatric Lumbar Disease Database. The primary outcome measure was pLOS, which was defined as the LOS greater than the 75th percentile. All patients were grouped as pLOS group and non-pLOS. Three models (including logistic regression, single-classification tree and random forest algorithms) for predicting pLOS were developed using training dataset and internal validation using testing dataset. Finally, online tool based on our model was developed to assess its validity in the clinical setting (external validation).

RESULTS

The development set included 1025 patients (mean [SD] age, 72.8 [5.6] years; 632 [61.7%] female), and the external validation set included 175 patients (73.2 [5.9] years; 97[55.4%] female). Multivariate logistic analyses revealed that older age (odds ratio [OR] 1.06, p < 0.001), higher BMI (OR 1.08, p = 0.002), number of fused segments (OR 1.41, p < 0.001), longer operative time (OR 1.02, p < 0.001), and diabetes (OR 1.05, p = 0.046) were independent risk factors for pLOS in elderly patients undergoing lumbar fusion surgery. The single-classification tree revealed that operative time ≥ 232 min, delayed ambulation, and BMI ≥ 30 kg/m2 as particularly influential predictors for pLOS. A random forest model was developed using the remaining 14 variables. Intraoperative EBL, operative time, delayed ambulation, age, number of fused segments, BMI, and RBC count were the most significant variables in the final model. The predictive ability of our three models was comparable, with no significant differences in AUC (0.73 vs. 0.71 vs. 0.70, respectively). The logistic regression model had a higher net benefit for clinical intervention than the other models. The nomogram was developed, and the C-index of external validation for PLOS was 0.69 (95% CI, 0.65-0.76).

CONCLUSION

This investigation produced three predictive models for pLOS in elderly patients undergoing lumbar fusion surgery. The predictive ability of our three models was comparable. Logistic regression model had a higher net benefit for clinical intervention than the other models. Our predictive model could inform physicians about elderly patients with a high risk of pLOS after surgery.

Development and external validation of a nomogram for predicting postoperative adverse events in elderly patients undergoing lumbar fusion surgery: comparison of three predictive models

BACKGROUND

The burden of lumbar degenerative diseases (LDD) has increased substantially with the unprecedented aging population. Identifying elderly patients with high risk of postoperative adverse events (AEs) and establishing individualized perioperative management is critical to mitigate added costs and optimize cost-effectiveness to the healthcare system. We aimed to develop a predictive tool for AEs in elderly patients with transforaminal lumbar interbody fusion (TLIF), utilizing multivariate logistic regression, single classification and regression tree (hereafter, "classification tree"), and random forest machine learning algorithms.

METHODS

This study was a retrospective review of a prospective Geriatric Lumbar Disease Database (age ≥ 65). Our outcome measure was postoperative AEs, including prolonged hospital stays, postoperative complications, readmission, and reoperation within 90 days. Patients were grouped as either having at least one adverse event (AEs group) or not (No-AEs group). Three models for predicting postoperative AEs were developed using training dataset and internal validation using testing dataset. Finally, online tool was developed to assess its validity in the clinical setting (external validation).

RESULTS

The development set included 1025 patients (mean [SD] age, 72.8 [5.6] years; 632 [61.7%] female), and the external validation set included 175 patients (73.2 [5.9] years; 97 [55.4%] female). The predictive ability of our three models was comparable, with no significant differences in AUC (0.73 vs. 0.72 vs. 0.70, respectively). The logistic regression model had a higher net benefit for clinical intervention than the other models. A nomogram based on logistic regression was developed, and the C-index of external validation for AEs was 0.69 (95% CI 0.65-0.76).

CONCLUSION

The predictive ability of our three models was comparable. Logistic regression model had a higher net benefit for clinical intervention than the other models. Our nomogram and online tool ( https://xuanwumodel.shinyapps.io/Model_for_AEs/ ) could inform physicians about elderly patients with a high risk of AEs within the 90 days after TLIF surgery.

The Impact of Dynamic Real-Time Feedback on Patient Satisfaction Scores

INTRODUCTION

Providers' communication skills have a significant impact on patients' satisfaction. Improved patients' satisfaction has been positively correlated with various healthcare and financial outcomes. Patients' satisfaction in the inpatient setting is measured using the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. In this study, we evaluated the impact of dynamic real-time feedback to the providers on the HCAHPS scores.

METHODS

This was a randomized study conducted at our 550-bed level-1 tertiary care center. Twenty-six out of 27 hospitalists staffing our 12 medicine teams (including teams containing advanced practice providers (APPs) and house-staff teams) were randomized into intervention and control groups. Our research assistant interviewed 1110 patients over a period of 7 months and asked them the three provider communication-specific questions from the HCAHPS survey. Our intervention was a daily computer-generated email which alerted providers to their performance on HCAHPS questions (proportions of "always" responses) along with the performance of their peers and Medicare benchmarks.

RESULTS

The intervention and control groups were similar with regard to baseline HCAHPS scores and clinical experience. The proportion of "always" responses to the three questions related to provider communication was statistically significantly higher in the intervention group compared to the control group (86% vs 80.5%, p-value 0.00001). It was also noted that the HCAHPS scores were overall lower on the house-staff teams and higher on the teams with APPs.

CONCLUSION

Real-time patients' feedback to inpatient providers with peer comparison via email has a positive impact on the provider-specific HCAHPS scores.

The Impact of a New Internal Medicine Residency Program on Patient Satisfaction Scores for Teaching Hospitalist Faculty Compared to Non-teaching Hospitalist

Introduction: The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is a national survey sent to patients to measure their inpatient experience. Graduate medical education programs may affect a sponsoring institution in various ways, but there has been little research into the effect of teaching hospitalist faculty on HCAHPS scores in a community-based hospital. The aim of the current study is to evaluate if the introduction of internal medicine resident physicians would affect the HCAHPS scores of patients admitted by hospitalist faculty physicians.

Methods: This was a retrospective analysis of anonymous patient satisfaction survey data for internal medicine hospitalist teams from January 2019 to December 2019. Data were retrieved from the Press Ganey database. We compared two groups: teaching hospitalists (N = 12) and non-teaching hospitalists (N = 34). Data were divided into two time periods: January to June (pre-residents) and July to December (post-residents).

Results: From January to June (pre-residents), 646 HCAHPS surveys were returned. For the post-resident cohort (July to December), a total of 487 surveys were returned. The “Recommend” domain, showed a significant improvement in the mean pre-resident to post-resident (57% to 69%; p = 0.0351).

Conclusion: There was a significant increase in the mean rating of the “Recommend” hospital domain for the teaching hospitalists when compared to the non-teaching after the addition of a new internal medicine residency program.

The Role of the Gastrointestinal Hospitalist in Optimizing Endoscopic Operations

The gastroenterology (GI) hospitalist model has improved endoscopic operations through improved interdisciplinary coordination, efficiencies introduced in endoscopy unit workflow, and increased patient access to both inpatient and outpatient GI care. The challenges and opportunities associated with a GI hospitalist model and supporting a GI hospitalist team are reviewed, especially in relation to advanced endoscopy. The roles of the GI hospitalist in endoscopy quality measurement and value-based care are also explored. Greater awareness of the GI hospitalist model and tailoring it to fit the needs of the GI practice or endoscopy unit will be key to practice sustainability and growth.

Predictors of a Top-Box Patient Experience: A Retrospective Observational Study of HCAHPS Data at a Safety Net Institution

Hospitals commonly seek to improve patient experience as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, yet there are limited data to guide improvement efforts. The HCAHPS survey was developed for interhospital comparisons, whereas its use in intrahospital comparisons has not been validated. We sought to better understand the validity of utilizing intrahospital score comparisons and to identify the factors that may predict top-box HCAHPS scores. We performed a retrospective observational cohort study at an academic urban safety-net hospital examining 4898 HCAHPS surveys completed by hospitalized patients. We found that while most Patient-Mix Adjustment factors for which HCAHPS scores are adjusted were associated with top-box scores on intrahospital comparisons, few additional variables were associated with top-box scores. Further, HCAHPS questions pertaining to nurse and doctor communication were highly correlated with overall hospital rating, suggesting that communication-related factors may influence a patient’s hospital experience more strongly than do administrative factors.

Impact of Hospitalist Team Structure on Patient-Reported Satisfaction with Physician Performance

BACKGROUND

Patient experience is valuable because it reflects how patients perceive the care they receive within the healthcare system and is associated with clinical outcomes. Also, as part of the Hospital Value-Based Purchasing (HVBP) program, the Center for Medicare and Medicaid Services (CMS) rewards hospitals with financial incentives for patient experience as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. It is unclear how the addition of residents and advanced practice clinicians (APCs) to hospitalist-led inpatient teams affects patient satisfaction as measured by the HCAHPS and Press Ganey survey.

OBJECTIVE

To compare patient satisfaction with hospitalists on resident, APC, and solo hospitalist teams measured by HCAHPS and Press Ganey physician performance domain survey results.

DESIGN

Retrospective observational cohort study.

PARTICIPANTS

All patients discharged from the Internal Medicine inpatient service between July 1, 2015, and July 1, 2018, who met HCAHPS survey eligibility criteria and completed a patient experience survey.

MAIN MEASURES

HCAHPS and Press Ganey physician performance domain survey results.

KEY RESULTS

No differences were observed in the selection of "top box" scores on the HCAHPS physician performance domain between resident, APC, and solo hospitalist teams. Adjusted Press Ganey physician performance domain survey results demonstrated significant differences between solo hospitalist and resident teams, with solo hospitalists having higher scores in three areas: time physician spent with you (4.58 vs. 4.38, p = 0.050); physician kept you informed (4.63 vs. 4.43, p = 0.047); and physician skill (4.80 vs. 4.63, p = 0.027). Solo hospitalists were perceived to have higher physician skill in comparison with hospitalist-APC teams (4.80 vs. 4.69, p = 0.042).

CONCLUSION

While Press Ganey survey results suggest that patients have greater satisfaction with physicians on solo hospitalist teams, these differences were not observed on the HCAHPS physician performance survey domain, suggesting physician team structure does not impact HVBP incentive payments by CMS.

Defining the Essential Components of a Teaching Service

OBJECTIVES

A large portion of residency education occurs in inpatient teaching services without widely accepted consensus regarding the essential components that constitute a teaching service. We sought to generate consensus around this topic, with the goal of developing criteria programs that can be used when creating, redesigning, or evaluating teaching services.

METHODS

A list of potential components of teaching services was developed from a literature search, interviews, and focus groups. Eighteen pediatric medical education experts participated in a modified Delphi method, responding to a series of surveys rating the importance of the proposed components. Each iterative survey was amended on the basis of the results of the previous survey. A final survey evaluating the (1) effort and (2) impact of implementing components that had reached consensus as recommended was distributed.

RESULTS

Each survey had 100% panelist response. Five survey rounds were conducted. Fourteen attending physician characteristics and 7 system characteristics reached consensus as essential components of a teaching service. An additional 25 items reached consensus as recommended. When evaluating the effort and impact of these items, the implementation of attending characteristics was perceived as requiring less effort than system characteristics but as having similar impact.

CONCLUSIONS

Consensus on the essential and recommended components of a resident teaching service was achieved by using the modified Delphi method. Although the items that reached consensus as essential are similar to those proposed by the Accreditation Council for Graduate Medical Education, those that reached consensus as recommended are less commonly discussed and should be strongly considered by institutions.

Team-Based Care and Patient Satisfaction in the Hospital Setting: A Systematic Review

Purpose

Limited research examining the relationship between team-based models of care and patient satisfaction in the hospital setting is available. The purpose of this literature review was to explore this relationship as well as the relationships between team composition, team-based interventions, patient satisfaction, and other outcomes of care when measured as part of the study.

Methods

A systematic appraisal of research studies published through February 2017 was conducted using PubMed, Cochrane Library, CINAHL, Embase, Ovid, gray literature and Google Scholar. Inclusion criteria were 1) experimental (randomized control trials), quasi-experimental, or non-experimental (cross-sectional) study design; 2) team-based care interventions; 3) hospital setting; 4) patient satisfaction measured as an outcome; and 5) published in English.

Results

The literature search yielded 15,247 citations. In total, 142 articles were retrieved for full-text screening; 21 studies met inclusion criteria. Overall, 57% of the studies identified a statistically significant improvement in patient satisfaction associated with team-based care. Team-based care interventions ranged from single team activities such as multidisciplinary rounds to comprehensive team-based models of care. Patient satisfaction scores were greater with teams that had more than two professions and more comprehensive team-based models. About one-quarter of studies that measured patient satisfaction and at least one additional outcome demonstrated improvement in both.

Conclusions

Team-based care may positively affect patient satisfaction. Team composition and type of team intervention appears to influence the strength of the relationship. Improvements in satisfaction are not consistently accompanied by improvements in other outcomes.

Perceptions of Third-year Medical Students of a Non-resident Hospitalist Rotation

Introduction Although medical students in the United States frequently rotate on a non-resident hospitalist team, there is a paucity of literature on their perceptions regarding such rotation. We sought to assess the perceptions of third-year medical students (M3s) regarding a non-resident hospitalist rotation. Methods We conducted a web-based survey of M3s who had previously rotated on a non-resident hospitalist service. We assessed their perceptions regarding patient assignments and complexities, rounding preferences, barriers to learning, and the benefits of the rotation. A descriptive analysis was performed on the responses. Results Out of 49 respondents, 47% preferred carrying a maximum of three patients during rounds and 57% preferred patients with fewer comorbidities. Fifty-one percent preferred rounding on all patients covered by the team as opposed to rounding on their assigned patients only. Despite several perceived benefits of the rotation, students also identified various barriers to learning while rotating in a non-resident hospitalist rotation. Conclusions Our study evaluated the perceptions of M3s regarding the ideal patient load, patient complexities, barriers to learning and various benefits of a non-resident hospitalist rotation. The students' perceptions can potentially be addressed and incorporated to make the non-resident hospitalist rotation more educational for the students.

Hospital medicine beyond the United States

Hospital medicine is the fastest growing specialty in the United States. An interesting aspect of the rapid expansion of hospital medicine is the expansion of the field beyond the United States. Although the health care systems, regulations, and cultural norms in these nations differ, there are striking similarities in the profession’s development. We performed a literature review to better understand the factors contributing to the growth of hospital medicine internationally. In this article, we describe some of the drivers for expansion of hospital medicine outside the United States and the challenges faced by these groups. We also discuss the role the United States could play in the continued growth of hospital medicine internationally.

Comparison of Hospital Resource Use and Outcomes Among Hospitalists, Primary Care Physicians, and Other Generalists

IMPORTANCE

A physician's prior experience caring for a patient may be associated with patient outcomes and care patterns during and after hospitalization.

OBJECTIVE

To examine differences in the use of health care resources and outcomes among hospitalized patients cared for by hospitalists, their own primary care physicians (PCPs), or other generalists.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective study analyzed admissions for the 20 most common medical diagnoses among elderly fee-for-service Medicare patients from January 1 through December 31, 2013. Patients had at least 1 previous encounter with an outpatient clinician within the 365 days before admission, and diagnoses were restricted to the 20 most common diagnosis related groups. Data were collected from Medicare Parts A and B claims data, and outcomes were analyzed from January 1, 2013, through January 31, 2014.

EXPOSURES

Physician types included hospitalists, PCPs (ie, the physicians who provided a plurality of ambulatory visits in the year preceding admission), or generalists (not the patients' PCPs).

MAIN OUTCOMES AND MEASURES

Number of in-hospital specialist consultations, length of stay, discharge site, all-cause 7- and 30-day readmission rates, and 30-day mortality.

RESULTS

A total of 560 651 admissions were analyzed (41.9% men and 59.1% women; mean [SD] age, 80 [8] years). Patients' physicians were hospitalists in 59.7% of admissions; PCPs, in 14.2%; and other generalists, in 26.1%. Primary care physicians used consultations 3% more (relative risk, 1.03; 95% CI, 1.02-1.05) and other generalists used consultations 6% more (relative risk, 1.06; 95% CI, 1.05-1.07) than hospitalists. Lengths of stay were 12% longer among patients cared for by PCPs (adjusted incidence rate ratio, 1.12; 95% CI, 1.11-1.13) and 6% longer among those cared for by other generalists (adjusted incidence rate ratio, 1.06; 95% CI, 1.05-1.07) compared with patients cared for by hospitalists. However, PCPs were more likely to discharge patients home (adjusted odds ratio [AOR], 1.14; 95% CI, 1.11-1.17), whereas other generalists were less likely to do so (AOR, 0.94; 95% CI, 0.92-0.96). Relative to hospitalists, patients cared for by PCPs had similar readmission rates at 7 days (AOR, 0.98; 95% CI, 0.96-1.01) and 30 days (AOR, 1.02; 95% CI, 0.99-1.04), whereas other generalists' readmission rates were greater than hospitalists' rates at 7 (AOR, 1.05; 95% CI, 1.02-1.07) and 30 (AOR, 1.04; 95% CI, 1.03-1.06) days. Patients cared for by PCPs had lower 30-day mortality than patients of hospitalists (AOR, 0.94; 95% CI, 0.91-0.97), whereas the mortality rate of patients of other generalists was higher (AOR, 1.09; 95% CI, 1.07-1.12).

CONCLUSIONS AND RELEVANCE

A PCP's prior experience with a patient may be associated with inpatient use of resources and patient outcomes. Patients cared for by their own PCP had slightly longer lengths of stay and were more likely to be discharged home but also were less likely to die within 30 days compared with those cared for by hospitalists or other generalists.