Association of persistent poverty and U.S. News and World Report hospital rankings among patients undergoing major surgery

BACKGROUND

We sought to determine the association of persistent poverty on patient outcomes relative to US News World Report (USNWR) rankings among individuals undergoing common major surgical procedures.

METHODS

Medicare beneficiaries who underwent AAA repair, CABG, colectomy, or lung resection were identified. Multivariable logistic regression was used to evaluate the relationship between care at USNWR hospitals, county-level duration of poverty (never-high poverty (NHP); intermittent high poverty (IHP): persistent-poverty (PP)) and 30-day mortality.

RESULTS

Among 916,164 beneficiaries, individuals residing in PP neighborhoods who received surgical care at ranked hospitals had lower risk-adjusted 30-day mortality (5.89% vs 8.89%; p ​< ​0.001). On multivariable analysis, 30-day mortality was lower at ranked hospitals across all poverty categories with greatest decrease among patients from PP regions (NHP: OR-0.91, 95%CI0.87-0.95; IHP: OR-0.78, 95%CI0.69-0.88; PP: OR-0.69, 95%CI0.57-0.83; p ​< ​0.001).

CONCLUSION

Receipt of surgical care at top-ranked hospitals was associated with improvement in postoperative mortality, especially among patients residing in persistent poverty..

Trends in Response Rate to US News & World Report Best Hospitals Reputation Survey, 2015 to 2023

Reputation score has been shown to be the strongest predictor of ranking in the US News & World Reports (USNWR) Best Hospitals report. However, the extent to which physicians participate in the underlying USNWR reputation survey is not well-characterized. We conducted a retrospective cross-sectional study of USNWR public methodology reports from 2015 to 2023 to characterize trends in physician response rates by specialty, region, and Doximity membership. Overall response rates declined between 2015 (24.0%) and 2023 (8.9%). In 2023, rates ranged from 4.7% (psychiatry) to 13.9% (otolaryngology). Otolaryngology had the highest response rate among all specialties between 2017 and 2023. Within otolaryngology, both response rates (25.0% to 13.9%) and count (2106 to 1724 physicians) declined between 2015 and 2023. Among Doximity members, response rates were consistently higher for otolaryngologists in the Northeast and Midwest compared to other regions. Though hospital rankings often influence where patients seek care, our findings suggest USNWR reputation scores may not be reliable or representative.

Preserving the Future of Infectious Diseases: Why We Must Address the Decline in Compensation for Clinicians and Researchers

Infectious diseases (ID) physicians play a pivotal role in patient care and public health, yet concerns are mounting about their under-compensation compared with other medical specialties. This trend sees ID physicians, including new graduates, receiving lower remuneration than their general and hospital medicine peers, despite their significant contributions. The persistent disparity in compensation has been identified as a key factor behind the declining interest in the ID specialty among medical students and residents, potentially threatening patient care quality, research advancement, and diversity within the ID workforce. This viewpoint underscores the urgent need for the ID community to rally behind the Infectious Diseases Society of America in advocating for fair compensation for ID physicians and researchers. While focusing on wellness and work-life balance is vital, it is critical to address compensation, a significant source of distress for physicians. Failure to confront the issue of under-compensation promptly may jeopardize the future growth and sustainability of the ID specialty.

Unplanned admissions after day-case surgery in an Italian third-level pediatric hospital: a retrospective study

BACKGROUND

Increasing procedures in day-case surgery can mitigate the costs of health service, without reducing safety and quality standards. The Ospedale Pediatrico Bambino Gesù has adopted an educational program for healthcare personnel and patients' families to increase the number of day-case surgery procedures performed without reducing the level of safety. The unplanned admission rate after day-case surgery can be a quality benchmark for pediatric day-case surgery, and in literature, there are no Italian data.

METHODS

We made a retrospective analysis of the hospital database and focused on children requiring unplanned admission to the central venue of the hospital for the night. The audit covered the period from September 2012 to April 2018.

RESULTS

We performed general anesthesia for 8826 procedures (urology 33.60%, plastic surgery 30.87%, general surgery 17.44%, dermatology 11.66%, dentistry 3.16%, orthopedics 1.64%, digestive endoscopy 1.63%). Unplanned admission for anesthetic reasons resulted in two cases: one case of syncope and one case of vomit (0.023% rate). No one major complication.

CONCLUSIONS

Good quality of patient selection, the safety of the structure, family education, and an efficient organizational model combined with an educational program for anesthesiologists can improve the safety of anesthesia for day-case surgery.

"The reputation premium": does hospital ranking improvement lead to a higher healthcare spending?

Global health systems have often disclosed hospital quality and performance information via hospital ranking or rating programs over the last 20 years. This study aims to examine the relationship between hospital ranking and healthcare spending. Using the Basic Medical Insurance claims data from a big city in central China and the hospital ranking data from the Fudan Chinese Hospital League Table from 2016 to 2018, this study exploits the variation of hospital reputable ranking across hospitals and periods to employ the difference-in-differences (DiD) design. To alleviate the self-selection bias emerging from inpatients' selection of hospitals and the extrapolation bias emerging from the potential mis-specification of our linear model, we combine the DiD design with the 3-to-1 optimal Mahalanobis metric matching method. This study finds that ceteris paribus one hospital ascending from the Regional Famous Hospital Group to the National Famous Hospital Group significantly increases inpatients' total healthcare costs, reimbursement costs, and out-of-pocket costs by 5.9%, 6.2%, and 4.0%, respectively. Mechanism analysis reveals that it should be attributed more to physician moral hazard than patient willingness-to-pay. Leads and lags (event study) analysis validates our DiD identification framework and shows that the impact materializes slowly but significantly. In the robustness check, we transfer the outcome variables from the log value to the level value and control five digits of ICD-10 for the disease fixed-effects. The results are highly robust.

Does information disclosure among public hospitals stimulate medical cost change efforts? A pilot study in Shanghai

BACKGROUND

In 2013, the Shanghai Hospital Development Center issued a policy to advocate public hospitals to report their information about costs on diseases. The objective was to evaluate the impact of interhospital disclosure of costs on diseases on medical costs and compare costs per case following information disclosure between hospitals of different rankings.

METHODS

The study uses the hospital-level performance report issued by Shanghai Hospital Development Center in the fourth quarter of 2013, which covers quarterly aggregated hospital-level discharge data from 14 tertiary public hospitals participating in thyroid malignant tumors and colorectal malignant tumors information disclosure from the first quarter of 2012 to the third quarter of 2020. An interrupted time series model with segmented regression analysis is employed to examine changes in quarterly trends with respect to costs per case and length of stay before and after information disclosure. We identified high- and low-cost hospitals by ranking them on a costs per case basis per disease group.

RESULTS

This research identified significant differences in cost changes for thyroid malignant tumors and colorectal malignant tumors between hospitals after disclosing information. A hospital's discharge costs per case for thyroid malignant tumors increased significantly among top-cost hospitals (1629.251 RMB, P = 0.019), while decreased for thyroid and colorectal malignant tumors among low-cost hospitals (-1504.189 RMB, P = 0.003; -6511.650 RMB, P = 0.024, respectively).

CONCLUSION

Our findings indicate that information disclosure of costs on diseases results in changes in discharge costs per case. And low-cost hospitals continued to maintain their leading edge, whereas the high-cost hospitals changed their position in the industry by reducing discharge costs per case after information disclosure.

Factors Associated With Primary Care Physician Decision-making When Making Medication Recommendations vs Surgical Referrals

IMPORTANCE

Although objective data are used routinely in prescription drug recommendations, it is unclear how referring physicians apply evidence when making surgeon or hospital recommendations for surgery.

OBJECTIVE

To compare the factors associated with the hospital or surgeon referral decision-making process with that used for prescription medication recommendations.

DESIGN, SETTING, AND PARTICIPANTS

This qualitative study comprised interviews conducted between April 26 and May 18, 2021, of a purposive sample of 21 primary care physicians from a large primary care network in the Northeast US.

MAIN OUTCOMES AND MEASURES

Main outcomes were the factors considered when making prescription medication recommendations vs referral recommendations to specific surgeons or hospitals for surgery.

RESULTS

All 21 participant primary care physicians (14 women [66.7%]) reported use of evidence-based decision support tools and patient attributes for prescription medication recommendations. In contrast, for surgeon and hospital referral recommendations, primary care physicians relied on professional experience and training, personal beliefs about surgical quality, and perceived convenience. Primary care physicians cited perceived limitations of existing data on surgical quality as a barrier to the use of such data in the process of making surgical referrals.

CONCLUSIONS AND RELEVANCE

As opposed to the widespread use of objective decision support tools for guidance on medication recommendations, primary care physicians relied on subjective factors when making referrals to specific surgeons and hospitals. The findings of this study highlight the potential to improve surgical outcomes by introducing accessible, reliable data as an imperative step in the surgical referral process.

Comparing Consumer-Directed Hospital Rankings With STS Adult Cardiac Surgery Database Outcomes

BACKGROUND

Public interest in stratifying hospital performance has led to the proliferation of commercial, consumer-oriented hospital rankings. In cardiac surgery, little is known about how these rankings correlate with clinical registry quality ratings.

METHODS

The Society of Thoracic Surgeons (STS) Adult Cardiac Surgery Database was queried for isolated coronary artery bypass grafting or coronary artery bypass grafting/valve patients at hospitals among the top 100 U.S. News & World Report (USNWR) Cardiology & Heart Surgery rankings from 2016 to 2020. Hospitals were grouped into deciles by risk-adjusted observed/expected (O/E) ratios for morbidity and mortality using the STS 2018 risk models. Agreement between STS Adult Cardiac Surgery Database and USNWR ranked deciles was calculated by Bowker symmetry test. The association between each center's annual change in STS O/E ratio and change in USNWR ranking was modeled in repeated measures regression analysis.

RESULTS

Inclusion criteria were met by 524 393 patients from 149 hospitals that ranked in USNWR top 100 at least once during the study period. There was no agreement between USNWR ranking and STS major morbidity and mortality O/E ratio (P > .50 for all years). Analysis of patients undergoing surgery at the 65 hospitals that were consistently ranked in the top 100 during the study period demonstrated no association between annual change in hospital ranking and change in O/E ratio (P all > .3).

CONCLUSIONS

There was no agreement between annual USNWR hospital ranking and corresponding risk-adjusted STS morbidity or mortality. Furthermore, annual changes in USNWR rankings could not be accounted for using clinical outcomes. These findings suggest that factors unrelated to key surgical outcomes may be driving consumer-directed rankings.

Which surgeon demographic factors influence postoperative complication rates after total knee arthroplasty at U.S. News and World Report top-ranked orthopedic hospitals?

Introduction

Complication rates are used to evaluate surgical quality-of-care and determine health care reimbursements. The U.S. News & World Report (USNWR) hospital rankings are a highly-referenced source for top hospitals. The objective of this study was to determine the surgeon demographics of those practicing at USNWR Top Ranked Orthopedic Hospitals and if any influence complication rates after total knee arthroplasty (TKA).

Methods

The 2009–2013 USNWR ‘Orthopedic’ hospital rankings were identified. A database of TKA surgeons with postoperative complication rates was compiled utilizing publicly available data from the Centers for Medicare and Medicaid Services (2009–2013). Using an internet search algorithm, demographic data were collected for each surgeon and consisted of: fellowship training, years in practice, age, gender, practice setting, medical degree type, residency reputation, case volume, and geographic region of hospital. Logistic regression was used to assess the relationship between surgeon demographics and postoperative complication rates. A P value of < 0.008 was considered significant.

Results

From 2009 to 2013, 660 orthopedic surgeons performed TKA at 80 different USNWR Top-Ranked Hospitals. Mean TKA case volume was 172 (Range, 20–1323) and age of surgeon was 50.8 (Range, 32–77). A total of 372 (56.8%) completed an orthopedic surgery fellowship. Mean adjusted 30-day complication rate was 2.24% (Range, 1.2–4.5%). After adjustment, factors associated with increased complication rates were surgeon age ≤ 42 (OR 3.15; P = 0.007) and lower case volume (≤ 100 cases) (OR 2.52; P < 0.0001). Gender, hospital geographic region, completion of a fellowship, medical degree type, and residency reputation were not significant factors.

Discussion

Complication rates of total knee arthroplasty surgeons may be utilized by patients and hospitals to gauge quality of care. Certain surgeon factors may influence complication rates of surgeons performing TKA at USNWR Top Ranked Orthopedic Hospitals.

Study Type

Level III, retrospective observational study.

Rethinking Healthcare Quality and Prestige: Is This a Manager's Number One Problem?

Healthcare institutions are organizations driven to provide medical assistance at a certain level of quality service and safety. To achieve the recognition of excellence, these entities can undergo accreditations and comparisons with other institutions of their kind through ranking systems in order to validate patient, organizational, and academic institutional standards. Usually, the goal is to obtain prestige and recognition as well as positive feedback toward the institution, motivating improvement. In this scenario, the manager's role is to communicate these results and propose strategies to maintain or increase healthcare quality. The following article discusses the fundamentals of the processes of accreditation and ranking systems, the importance of health managers on the complexity of these processes and on achieving an institution's goals and vision, but also intends to provide a critical view toward the desire for prestige a hospital envisions within the feedback when its biggest aim should be directed to improve in benefit of the patients and workforce conditions.

Children's hospital quality ratings: where are we and can we do better?

Hospital quality ratings are intended to guide patients and payers to the highest quality hospitals. Their success in achieving this goal has been limited by inconsistencies between ratings and questionable data collection methods. Despite these shortcomings, their popularity and their importance are increasing. There is little published on how these quality rankings pertain to children's hospitals. The majority of what is available analyzes the US News and World Report's Best Children's Hospitals Survey and the Leapfrog Group's Pediatric Care survey. We provide a narrative review of the literature and our interpretation of the relative strengths and weaknesses of these tools, including a letter grade comparison. Based on our analysis, we provide potential improvements to these rating systems that may benefit both the patient, payer, and the hospital.

Determinants of physician networks: an ethnographic study examining the processes that inform patterns of collaboration and referral decision-making among physicians

OBJECTIVE

Most scholarly attention to studying collaborative ties in physician networks has been devoted to quantitatively analysing large, complex datasets. While valuable, such studies can reduce the dynamic and contextual complexities of physician collaborations to numerical values. Qualitative research strategies can contribute to our understanding by addressing the gaps left by more quantitative approaches. This study seeks to contribute to the literature that applies network science approaches to the context of healthcare delivery. We use qualitative, observational and interview, methods to pursue an in-depth, micro-level approach to the deeply social and discursive processes that influence patterns of collaboration and referral decision-making in physician networks.

DESIGN

Qualitative methodologies that paired ethnographic field observations, semistructured interviews and document analysis were used. An inductive thematic analysis approach was used to analyse, identify and describe patterns in those data.

SETTING

This study took place in a high-volume cardiovascular department at a major academic medical centre (AMC) located in the Midwest region of the USA.

PARTICIPANTS

Purposive and snowballing sampling were used to recruit study participants for both the observational and face-to-face in-depth interview portions of the study. In total, 25 clinicians and 43 patients participated in this study.

RESULTS

Two primary thematic categories were identified: (1) circumstances for external engagement; and (2) clinical conditions for engagement. Thematic subcategories included community engagement, scientific engagement, reputational value, experiential information, professional identity, self-awareness of competence, multidisciplinary programmes and situational factors.

CONCLUSION

This study adds new contextual knowledge about the mechanisms that characterise referral decision-making processes and how these impact the meaning of physician relationships, organisation of healthcare delivery and the knowledge and beliefs that physicians have about their colleagues. This study highlights the nuances that influence how new collaborative networks are formed and maintained by detailing how relationships among physicians develop and evolve over time.

Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study

Background

Patients’ choices of providers when undergoing elective surgeries significantly impact both perioperative outcomes and costs. There exist a variety of approaches that are available to patients for evaluating between different hospital choices.

Objective

This paper aims to compare differences in outcomes and costs between hospitals ranked using popular internet-based consumer ratings, quality stars, reputation rankings, average volumes, average outcomes, and precision machine learning–based rankings for hospital settings performing hip replacements in a large metropolitan area.

Methods

Retrospective data from 4192 hip replacement surgeries among Medicare beneficiaries in 2018 in a the Chicago metropolitan area were analyzed for variations in outcomes (90-day postprocedure hospitalizations and emergency department visits) and costs (90-day total cost of care) between hospitals ranked through multiple approaches: internet-based consumer ratings, quality stars, reputation rankings, average yearly surgical volume, average outcome rates, and machine learning–based rankings. The average rates of outcomes and costs were compared between the patients who underwent surgery at a hospital using each ranking approach in unadjusted and propensity-based adjusted comparisons.

Results

Only a minority of patients (1159/4192, 27.6% to 2078/4192, 49.6%) were found to be matched to higher-ranked hospitals for each of the different approaches. Of the approaches considered, hip replacements at hospitals that were more highly ranked by consumer ratings, quality stars, and machine learning were all consistently associated with improvements in outcomes and costs in both adjusted and unadjusted analyses. The improvement was greatest across all metrics and analyses for machine learning–based rankings.

Conclusions

There may be a substantive opportunity to increase the number of patients matched to appropriate hospitals across a broad variety of ranking approaches. Elective hip replacement surgeries performed at hospitals where patients were matched based on patient-specific machine learning were associated with better outcomes and lower total costs of care.

Survival After Cancer Treatment at Top-Ranked US Cancer Hospitals vs Affiliates of Top-Ranked Cancer Hospitals

IMPORTANCE

Hospital networks formed around top-ranked cancer hospitals represent an opportunity to optimize complex cancer care in the community.

OBJECTIVE

To compare the short- and long-term survival after complex cancer treatment at top-ranked cancer hospitals and the affiliates of top-ranked hospitals.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study was conducted using data from the unabridged version of the National Cancer Database. Included patients were individuals 18 years or older who underwent surgical treatment for esophageal, gastric, lung, pancreatic, colorectal, or bladder cancer diagnosed between January 1, 2012, and December 31, 2016. Patient outcomes after complex surgical procedures for cancer at top-ranked cancer hospitals (as ranked in top 50 by US News and World Report) were compared with outcomes at affiliates of top-ranked cancer hospitals (affiliation listed in American Hospitals Association survey and confirmed by search of internet presence). Data were analyzed from July through December 2019.

EXPOSURES

Undergoing complex cancer treatment at a top-ranked cancer hospital or an affiliated hospital.

MAIN OUTCOMES AND MEASURES

The association of affiliate status with short-term survival (ie, 90-day mortality) was compared using logistic regression, and the association of affiliate status with long-term survival was compared using time-to-event models, adjusting for patient demographic, payer, clinical, and treatment factors.

RESULTS

Among 119 834 patients who underwent surgical treatment for cancer, 79 981 patients (66.7%) were treated at top-ranked cancer hospitals (median [interquartile range] age, 66 [58-74] years; 40 910 [54.9%] men) and 39 853 patients (33.3%) were treated at affiliate hospitals (median [interquartile range] age, 69 [60-77] years; 19 004 [50.0%] men). In a pooled analysis of all cancer types, adjusted perioperative mortality within 90 days of surgical treatment was higher at affiliate hospitals compared with top-ranked hospitals (odds ratio, 1.67 [95% CI, 1.49-1.89]; P < .001). Adjusted long-term survival following cancer treatment at affiliate hospitals was only 77% that of top-ranked hospitals (time ratio, 0.77 [95% CI, 0.72-0.83]; P < .001). The survival advantage was not fully explained by differences in annual surgical volume, with both long- and short-term survival remaining superior at top-ranked hospitals even after models were adjusted for volume.

CONCLUSIONS AND RELEVANCE

These findings suggest that short- and long-term survival after complex cancer treatment were superior at top-ranked hospitals compared with affiliates of top-ranked hospitals. Further study of cancer care within top-ranked cancer networks could reveal collaborative opportunities to improve survival across a broad contingent of the US population.

Comparing textbook outcomes among patients undergoing surgery for cancer at U. S. News & World Report ranked hospitals

Background

The objective of the current study was to define and compare rates of textbook outcomes (TO) among patients undergoing colorectal, lung, esophagus, liver, and pancreatic surgery for cancer at U.S. News & World Report (USNWR) ranked hospitals.

Methods

Medicare Inpatient Standard Analytic Files 2013‐2015 were utilized to examine the relationship of TO and USNWR hospital ratings following surgery for colorectal, lung, esophageal, pancreatic, and liver cancer. TO was defined as no postoperative surgical complications, no prolonged length of hospital stay, no readmission within 90 days after discharge, and no postoperative mortality within 90 days after surgery.

Results

Among the 35,352 Medicare patients included in the cohort, 16,820 (47.6%) underwent surgery at honor roll hospitals, whereas 18 532 (52.4%) underwent surgery at non‐honor roll hospitals. The overall proportion of patients who achieved TO was 50.1%. In examining the clinical outcomes of patients who underwent surgery, there was no difference in the odds of achieving TO at honor roll vs non‐honor roll hospitals (colorectal: odds ratio [OR], 0.87; 95% confidence interval [CI], 0.69‐1.10; lung: OR, 1.07; 95% CI, 0.87‐1.32; esophagus: OR, 1.44; 95% CI, 0.72‐2.89; liver: OR, 1.27; 95% CI, 0.87‐1.84; pancreas: OR, 1.04; 95% CI, 0.67‐1.62).

Conclusion and Relevance

Patients undergoing surgery for lung, esophageal, liver, pancreatic, and colorectal cancer had comparable rates of TO at honor roll vs non‐honor roll hospitals. No linear association was observed between hospital position in the rank and postoperative outcomes such as TO indicating that patients should not overly focus on the exact position within USNWR ranked hospitals. These data highlight to patients and physicians that up to one‐half of patients undergoing surgery for cancer should anticipate at least one adverse outcome.

Association Between Institutional Social Media Involvement and Gastroenterology Divisional Rankings: Cohort Study

Background

Patients often look to social media as an important tool to gather information about institutions and professionals. Since 1990, United States News and World Report (USNWR) has published annual rankings of hospitals and subspecialty divisions. It remains unknown if social media presence is associated with the USNWR gastroenterology and gastrointestinal (GI) surgery divisional rankings, or how changes in online presence over time affects division ranking.

Objective

The objective of this study was to determine if social media presence is associated with USNWR gastroenterology and GI surgery divisional rankings and to ascertain how changes in online presence over time affect division rankings.

Methods

Social media presence among the top 30 institutions listed in the 2014 USNWR gastroenterology and GI surgery divisional rankings were assessed using Pearson’s correlation coefficients and multivariate analysis, controlling for covariates. Linear and logistic regression using data from 2014 and 2016 USNWR rankings were then used to assess the association between institutional ranking or reputation score with any potential changes in numbers of followers over time. Sensitivity analysis was performed by assessing the area under the receiver operating characteristic curve to determine the follower threshold associated with improved or maintained ranking, which was done by dichotomizing changes in followers at values between the 7000 and 12,000 follower mark.

Results

Twitter follower count was an independent predictor of divisional ranking (β=.00004; P<.001) and reputation score (β=–.00002; P=.03) in 2014. Academic affiliation also independently predicted USNWR division ranking (β=5.3; P=.04) and reputation score (β=–7.3; P=.03). Between 2014 and 2016, Twitter followers remained significantly associated with improved or maintained rankings (OR 14.63; 95% CI 1.08-197.81; P=.04). On sensitivity analysis, an 8000 person increase in Twitter followers significantly predicted improved or maintained rankings compared to other cutoffs.

Conclusions

Institutional social media presence is independently associated with USNWR divisional ranking and reputation score. Improvement in social media following was also independently associated with improved or maintained divisional ranking and reputation score, with a threshold of 8000 additional followers as the best predictor of improved or stable ranking.

Differential Safety Between Top-Ranked Cancer Hospitals and Their Affiliates for Complex Cancer Surgery

IMPORTANCE

Leading cancer hospitals have increasingly shared their brands with other hospitals through growing networks of affiliations. However, the brand of top-ranked cancer hospitals may evoke distinct reputations for safety and quality that do not extend to all hospitals within these networks.

OBJECTIVE

To assess perioperative mortality of Medicare beneficiaries after complex cancer surgery across hospitals participating in networks with top-ranked cancer hospitals.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional study was performed of the Centers for Medicare & Medicaid Services 100% Medicare Provider and Analysis Review file from January 1, 2013, to December 31, 2016, for top-ranked cancer hospitals (as assessed by U.S. News and World Report) and affiliated hospitals that share their brand. Participants were 29 228 Medicare beneficiaries older than 65 years who underwent complex cancer surgery (lobectomy, esophagectomy, gastrectomy, colectomy, and pancreaticoduodenectomy [Whipple procedure]) between January 1, 2013, and October 1, 2016.

EXPOSURES

Undergoing complex cancer surgery at a top-ranked cancer hospital vs an affiliated hospital.

MAIN OUTCOMES AND MEASURES

Risk-adjusted 90-day mortality estimated using hierarchical logistic regression and comparison of the relative safety of hospitals within each cancer network estimated using standardized mortality ratios.

RESULTS

A total of 17 300 patients (59.2%; 8612 women and 8688 men; mean [SD] age, 74.7 [6.2] years) underwent complex cancer surgery at 59 top-ranked hospitals and 11 928 patients (40.8%; 6287 women and 5641 men; mean [SD] age, 76.2 [6.9] years) underwent complex cancer surgery at 343 affiliated hospitals. Overall, surgery performed at affiliated hospitals was associated with higher 90-day mortality (odds ratio, 1.40; 95% CI, 1.23-1.59; P < .001), with odds ratios that ranged from 1.32 (95% CI, 1.12-1.56; P = .001) for colectomy to 2.04 (95% CI, 1.41-2.95; P < .001) for gastrectomy. When the relative safety of each top-ranked cancer hospital was compared with its collective affiliates, the top-ranked hospital was safer than the affiliates in 41 of 49 studied networks (83.7%; 95% CI, 73.1%-93.3%).

CONCLUSIONS AND RELEVANCE

The likelihood of surviving complex cancer surgery appears to be greater at top-ranked cancer hospitals compared with the affiliated hospitals that share their brand. Further investigation of performance across trusted cancer networks could enhance informed decision making for complex cancer care.

Is it a match? a novel method of evaluating medical school success

BACKGROUND

Medical education program evaluation allows for curricular improvements to both Undergraduate (UME) and Graduate Medical Education (GME). UME programs are left with little more than match rates and self-report to evaluate success of graduates in The Match.

OBJECTIVE

This manuscript shares a novel method of program evaluation through a systematic assessment of Match outcomes.

DESIGN

Surveys were developed and distributed to Program Training Directors (PTDs) at our institution to classify residency programs into which our UME graduates matched using an ordinal response scale and open-ended responses. Outcomes-based measures for UME graduates were collected and analyzed. The relationship between PTD survey data and UME graduates' outcomes were explored. Open-ended response data were qualitatively analyzed using iterative cycles of coding and identifying themes.

RESULTS

The PTD survey response rate was 100%. 71% of our graduates matched to programs ranked as 'elite' (36%) or 'top' (35%) tier. The mean total number of 'Honors' grades achieved by UME graduates was 2.6. Data showed that graduates entering elite and top GME programs did not consistently earn Honors in their associated clerkships. A positive correlation was identified between USMLE Step 1 score, number of honors, and residency program rankings for a majority of the programs. Qualitative analysis identified research, faculty, and clinical exposure as necessary characteristics of 'elite' programs:. Factors considered by PTDs in the rating of programs included reputation, faculty, research, national presence and quality of graduates.

CONCLUSIONS

This study describes a novel outcomes-based method of evaluating the success of UME programs. Results provided useful feedback about the quality of our UME program and its ability to produce graduates who match in highly-regarded GME programs. The findings from this study can benefit Clerkship Directors, Student Affairs and Curriculam Deans, and residency PTDs as they help students determine their competitiveness forspecialties and specific residency programs.

Correlations Between Hospitals' Social Media Presence and Reputation Score and Ranking: Cross-Sectional Analysis

Background

The US News and World Report reputation score correlates strongly with overall rank in adult and pediatric hospital rankings. Social media affects how information is disseminated to physicians and is used by hospitals as a marketing tool to recruit patients. It is unclear whether the reputation score for adult and children’s hospitals relates to social media presence.

Objective

The objective of our study was to analyze the association between a hospital’s social media metrics and the US News 2017-2018 Best Hospital Rankings for adult and children’s hospitals.

Methods

We conducted a cross-sectional analysis of the reputation score, total score, and social media metrics (Twitter, Facebook, and Instagram) of hospitals who received at least one subspecialty ranking in the 2017-2018 US News publicly available annual rankings. Regression analysis was employed to analyze the partial correlation coefficients between social media metrics and a hospital’s total points (ie, rank) and reputation score for both adult and children’s hospitals while controlling for the bed size and time on Twitter.

Results

We observed significant correlations for children’s hospitals’ reputation score and total points with the number of Twitter followers (total points: r=.465, P<.001; reputation: r=.524, P<.001) and Facebook followers (total points: r=.392, P=.002; reputation: r=.518, P<.001). Significant correlations for the adult hospitals reputation score were found with the number of Twitter followers (r=.848, P<.001), number of tweets (r=.535, P<.001), Klout score (r=.242, P=.02), and Facebook followers (r=.743, P<.001). In addition, significant correlations for adult hospitals total points were found with Twitter followers (r=.548, P<.001), number of tweets (r=.358, P<.001), Klout score (r=.203, P=.05), Facebook followers (r=.500, P<.001), and Instagram followers (r=.692, P<.001).

Conclusions

A statistically significant correlation exists between multiple social media metrics and both a hospital’s reputation score and total points (ie, overall rank). This association may indicate that a hospital’s reputation may be influenced by its social media presence or that the reputation or rank of a hospital drives social media followers.

Association between physician US News & World Report medical school ranking and patient outcomes and costs of care: observational study

OBJECTIVE

To investigate whether the US News & World Report (USNWR) ranking of the medical school a physician attended is associated with patient outcomes and healthcare spending.

DESIGN

Observational study.

SETTING

Medicare, 2011-15.

PARTICIPANTS

20% random sample of Medicare fee-for-service beneficiaries aged 65 years or older (n=996 212), who were admitted as an emergency to hospital with a medical condition and treated by general internists.

MAIN OUTCOME MEASURES

Association between the USNWR ranking of the medical school a physician attended and the physician's patient outcomes (30 day mortality and 30 day readmission rates) and Medicare Part B spending, adjusted for patient and physician characteristics and hospital fixed effects (which effectively compared physicians practicing within the same hospital). A sensitivity analysis employed a natural experiment by focusing on patients treated by hospitalists, because patients are plausibly randomly assigned to hospitalists based on their specific work schedules. Alternative rankings of medical schools based on social mission score or National Institute of Health (NIH) funding were also investigated.

RESULTS

996 212 admissions treated by 30 322 physicians were examined for the analysis of mortality. When using USNWR primary care rankings, physicians who graduated from higher ranked schools had slightly lower 30 day readmission rates (adjusted rate 15.7% for top 10 schools v 16.1% for schools ranked ≥50; adjusted risk difference 0.4%, 95% confidence interval 0.1% to 0.8%; P for trend=0.005) and lower spending (adjusted Part B spending $1029 (£790; €881) v $1066; adjusted difference $36, 95% confidence interval $20 to $52; P for trend <0.001) compared with graduates of lower ranked schools, but no difference in 30 day mortality. When using USNWR research rankings, physicians graduating from higher ranked schools had slightly lower healthcare spending than graduates from lower ranked schools, but no differences in patient mortality or readmissions. A sensitivity analysis restricted to patients treated by hospitalists yielded similar findings. Little or no relation was found between alternative rankings (based on social mission score or NIH funding) and patient outcomes or costs of care.

CONCLUSIONS

Overall, little or no relation was found between the USNWR ranking of the medical school from which a physician graduated and subsequent patient mortality or readmission rates. Physicians who graduated from highly ranked medical schools had slightly lower spending than graduates of lower ranked schools.