Employers and insurers are experimenting with benefit strategies that encourage patients to switch to lower-price providers. One increasingly popular strategy is to financially reward patients who receive care from such providers. We evaluated the impact of a rewards programimplemented in 2017 by twenty-nine employers with 269,875 eligible employees and dependents. For 131 elective services, patients who received care from a designated lower-price provider received a check ranging from $25 to $500, depending on the provider's price and service. In the first twelve months of the program we found a 2.1 percent reduction in prices paid for services targeted by the rewardsprogram. The reductions in price resulted in savings of $2.3 million, or roughly $8 per person, per year. These effects were primarily seen in magnetic resonance imaging and ultrasounds, with no observed price reduction among surgical procedures.

OBJECTIVES:

Despite public reporting of wide variation in hospital cesarean delivery rates, few women access this information when deciding where to deliver. We hypothesized that making cesarean delivery rate data more easily accessible and understandable would increase the likelihood of women selecting a hospital with a low cesarean delivery rate.

STUDY DESIGN:

We conducted a randomized controlled trial of 18,293 users of the Ovia Health mobile apps in 2016-2017. All enrollees were given an explanation of cesarean delivery rate data, and those randomized to the intervention group were also given an interactive tool that presented those data for the 10 closest hospitals with obstetric services. Our outcome measures were enrollees' self-reported deliveryhospital and views on cesarean delivery rates.

METHODS:

Intent-to-treat analysis using 2-sided Pearson's χ2 tests.

RESULTS:

There was no significant difference across the experimental groups in the proportion of women who selected hospitals with low cesarean delivery rates (7.0% control vs 6.8% intervention; P = .54). Women in the intervention group were more likely to believe that hospitals in their community had differing cesarean delivery rates (66.9% vs 55.9%; P <.001) and to report that they looked at cesareandelivery rates when choosing their hospital (44.5% vs 33.9%; P <.001).

CONCLUSIONS:

Providing women with an interactive tool to compare cesarean delivery rates across hospitals in their community improved women's familiarity with variation in cesarean delivery rates but did not increase their likelihood of selecting hospitals with lower rates.

OBJECTIVES:

There is robust evidence that implementation of reference-based pricing (RBP) benefit design decreases spending. This paper investigates employer adoption of RBP as a strategy to improve the value of patients' healthcare choices, as well as facilitators and barriers to the adoption of RBP by employers.

STUDY DESIGN:

We conducted a qualitative study using 12 in-depth interviews with human resources executives or their representatives at large- or medium-sized self-insured employers.

METHODS:

Interviews were conducted and recorded over the phone between March 2017 and May 2017. Interviewees were asked about their adoption of RBP and facilitators and barriers to adoption. We applied thematic analysis to the transcripts.

RESULTS:

Despite broad employer awareness of RBP's potential for cost savings, few employers are including RBP in their benefit design. The major barriers to RBP adoption were the complexity of RBP benefit design, concern that employees could face catastrophic out-of-pocket costs, lack of a business case for implementation, and concern that RBP could hurt the employer's competitiveness in the labor market. The few employers that have adopted RBP have implemented extensive, year-round employee education campaigns and invested in multipronged and proactive decision support to help employees navigate their choices.

CONCLUSIONS:

Unless several fundamental barriers are addressed, uptake of RBP will likely continue to be low. Our findings suggest that simplifying benefit design, providing employees protection against very high out-of-pocket costs, understanding which decision-support strategies are most effective, and enhancing the business case could facilitate wider employer adoption of RBP.

BACKGROUND:

In 2016, Medicare implemented Comprehensive Care for Joint Replacement (CJR), a national mandatory bundled-payment model for hip or knee replacement in randomly selected metropolitan statistical areas. Hospitals in such areas receive bonuses or pay penalties based on Medicare spending per hip- or knee-replacement episode (defined as the hospitalization plus 90 days after discharge).

METHODS:

We conducted difference-in-differences analyses using Medicare claims from 2015 through 2017, encompassing the first 2 years of bundled payments in the CJR program. We evaluated hip- or knee-replacement episodes in 75 metropolitan statistical areas randomly assigned to mandatory participation in the CJR program (bundled-payment metropolitan statistical areas, hereafter referred to as "treatment" areas) as compared with those in 121 control areas, before and after implementation of the CJR model. The primary outcomes were institutional spending per hip- or knee-replacement episode (i.e., Medicare payments to institutions, primarily to hospitals and post-acute care facilities), rates of postsurgical complications, and the percentage of "high-risk" patients (i.e., patients for whom there was an elevated risk of spending - a measure of patient selection). Analyses were adjusted for the hospital and characteristics of the patients and procedures.

RESULTS:

From 2015 through 2017, there were 280,161 hip- or knee-replacement procedures in 803 hospitals in treatment areas and 377,278 procedures in 962 hospitals in control areas. After the initiation of the CJR model, there were greater decreases in institutional spending per joint-replacement episode in treatment areas than in control areas (differential change [i.e., the between-group difference in the change from the period before the CJR model], -$812, or a -3.1% differential decrease relative to the treatment-group baseline; P<0.001). The differential reduction was driven largely by a 5.9% relative decrease in the percentage of episodes in which patients were discharged to post-acute care facilities. The CJR program did not have a significant differential effect on the composite rate of complications (P=0.67) or on the percentage of joint-replacement procedures performed in high-risk patients (P=0.81).

CONCLUSIONS:

In the first 2 years of the CJR program, there was a modest reduction in spending per hip- or knee-replacement episode, without an increase in rates of complications. (Funded by the Commonwealth Fund and the National Institute on Aging of the National Institutes of Health.).

OBJECTIVE:

In commercial direct-to-consumer (DTC) telemedicine, physicians outside of the medical home treat common, acute complaints through real-time, audio-visual conferencing using telephones and personal computers. There has been little examination of the use of DTC telemedicine by children. We describe trends in DTC telemedicine use and DTC telemedicine visit characteristics.

METHODS:

Using 2011-2016 claims from a large national health plan, we identified pediatric acute visits to DTC telemedicine and to primary care providers (PCPs). We examined DTC telemedicine visit trends and compared DTC telemedicine and acute PCP visit diagnoses and patient characteristics.

RESULTS:

From 2011 through 2016, pediatric DTC telemedicine visits increased from 38 to 24,409 visits annually. In 2015 and 2016, the most common primary diagnoses for DTC telemedicine visits (n = 42,072) were infections of the nose/sinuses (24%), mouth/throat (16%), and ear (9%), which were also the most common diagnoses for acute PCP visits (n = 6,917,976). Odds of DTC telemedicine use were higher for children in non-metropolitan communities (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.40-1.51) and children without preventive visits (OR, 1.08; 95% CI, 1.06-1.11). Compared to children receiving acute PCP care, children with DTC telemedicine visits were also more likely to have had urgent care (17% vs 10%; P < .001) and emergency department visits (21% vs 19%; P < .001) during the study period.

CONCLUSIONS:

The use of commercial DTC telemedicine visits for children is growing rapidly, primarily for acute respiratory infections. Compared to children who did not use DTC telemedicine for acute care, children using DTC telemedicine were also more likely to use other venues for acute care outside of the medical home.

OBJECTIVES:

 More patients are receiving their test results via patient portals. Given test results are written using medical jargon, there has been concern that patients may misinterpret these results. Using sample colonoscopy and Pap smear results, our objective was to assess how frequently people can identify the correct diagnosis and when a patient should follow up with a provider.

METHODS:

 We used Mechanical Turk-a crowdsourcing tool run by Amazon that enables easy and fast gathering of users to perform tasks like answering questions or identifying objects-to survey individuals who were shown six sample test results (three colonoscopy, three Pap smear) ranging in complexity. For each case, respondents answered multiple choice questions on the correct diagnosis and recommended return time.

RESULTS:

 Among the three colonoscopy cases (n = 642) and three Pap smear cases (n = 642), 63% (95% confidence interval [CI]: 60-67%) and 53% (95% CI: 49-57%) of the respondents chose the correct diagnosis, respectively. For the most complex colonoscopy and Pap smear cases, only 29% (95% CI: 23-35%) and 9% (95% CI: 5-13%) chose the correct diagnosis.

CONCLUSION:

 People frequently misinterpret colonoscopy and Pap smear test results. Greater emphasis needs to be placed on assisting patients in interpretation.

BACKGROUND:

Freestanding emergency departments (FSEDs), EDs not attached to acute care hospitals, are expanding. One key question is whether FSEDs are more similar to higher-cost hospital-based EDs or to lower-cost urgent care centers (UCCs).

OBJECTIVE:

Our aim was to determine whether there was a change in patient population, conditions managed, and reimbursement among three facilities that converted from a UCC to an FSED.

METHODS:

Using insurance claims from Blue Cross Blue Shield of Texas, we compared outcomes of interest for three facilities that converted from a UCC to an FSED for 1 year before and after conversion.

RESULTS:

There was no significant change in age, sex, and comorbidities among patients treated after conversion. Conditions were similar after conversion, though there was a small increase in visits for potentially more severe conditions. For example, the most common diagnoses before and after conversion were upper respiratory infections (42.8% of UCC visits, 26.0% of FSED visits), while chest pain increased from rank 30 to 10 (0.5% of UCC visits, 2.3% of FSED visits). Yearly number of visits decreased after conversion, while median reimbursement per visit increased (facility A: $148 to $2,153; facility B: $137 to $1,466; and facility C: $131 to $1,925) and total revenue increased (facility A: $1,389,590 to $1,486,203; facility B: $896,591 to $4,294,636; and facility C: $637,585 to $8,429,828).

CONCLUSIONS:

After three UCCs converted to FSEDs, patient volume decreased and reimbursement per visit increased, despite no change in patient characteristics and little change in conditions managed. These case studies suggest that some FSEDs are similar to UCCs in patient mix and conditions treated.

BACKGROUND:

Freestanding emergency departments (FSEDs), EDs not attached to acute care hospitals, are expanding. One key question is whether FSEDs are more similar to higher-cost hospital-based EDs or to lower-cost urgent care centers (UCCs).

OBJECTIVE:

Our aim was to determine whether there was a change in patient population, conditions managed, and reimbursement among three facilities that converted from a UCC to an FSED.

METHODS:

Using insurance claims from Blue Cross Blue Shield of Texas, we compared outcomes of interest for three facilities that converted from a UCC to an FSED for 1 year before and after conversion.

RESULTS:

There was no significant change in age, sex, and comorbidities among patients treated after conversion. Conditions were similar after conversion, though there was a small increase in visits for potentially more severe conditions. For example, the most common diagnoses before and after conversion were upper respiratory infections (42.8% of UCC visits, 26.0% of FSED visits), while chest pain increased from rank 30 to 10 (0.5% of UCC visits, 2.3% of FSED visits). Yearly number of visits decreased after conversion, while median reimbursement per visit increased (facility A: $148 to $2,153; facility B: $137 to $1,466; and facility C: $131 to $1,925) and total revenue increased (facility A: $1,389,590 to $1,486,203; facility B: $896,591 to $4,294,636; and facility C: $637,585 to $8,429,828).

CONCLUSIONS:

After three UCCs converted to FSEDs, patient volume decreased and reimbursement per visit increased, despite no change in patient characteristics and little change in conditions managed. These case studies suggest that some FSEDs are similar to UCCs in patient mix and conditions treated.

BACKGROUND AND OBJECTIVES:

Use of commercial direct-to-consumer (DTC) telemedicine outside of the pediatric medical home is increasing among children, and acute respiratory infections (ARIs) are the most commonly diagnosed condition at DTC telemedicine visits. Our objective was to compare the quality of antibiotic prescribing for ARIs among children across 3 settings: DTC telemedicine, urgent care, and the primary care provider (PCP) office.

METHODS:

In a retrospective cohort study using 2015-2016 claims data from a large national commercial health plan, we identified ARI visitsby children (0-17 years old), excluding visits with comorbidities that could affect antibiotic decisions. Visits were matched on age, sex, chronic medical complexity, state, rurality, health plan type, and ARI diagnosis category. Within the matched sample, we compared the percentage of ARI visits with any antibiotic prescribing and the percentage of ARI visits with guideline-concordant antibiotic management.

RESULTS:

There were 4604 DTC telemedicine, 38 408 urgent care, and 485 201 PCP visits for ARIs in the matched sample. Antibioticprescribing was higher for DTC telemedicine visits than for other settings (52% of DTC telemedicine visits versus 42% urgent care and 31% PCP visits; P < .001 for both comparisons). Guideline-concordant antibiotic management was lower at DTC telemedicine visits than at other settings (59% of DTC telemedicine visits versus 67% urgent care and 78% PCP visits; P < .001 for both comparisons).

CONCLUSIONS:

At DTC telemedicine visits, children with ARIs were more likely to receive antibiotics and less likely to receive guideline-concordant antibiotic management compared to children at PCP visits and urgent care visits.

BACKGROUND & AIMS:

There is significant variation among endoscopists in their adenoma detection rates (ADRs). We explored associations between ADR and characteristics of endoscopists, including personality traits and financial incentives.

METHODS:

We collected electronic health record data from October 2013 through September 2015 and calculated ADRs for physicians from 4 health systems. ADRs were risk-adjusted for differences in patient populations. Physicians were surveyed to assess financial motivations, knowledge and perceptions about colonoscopy quality, and personality traits. Of 140 physicians sent the survey, 117 responded.

RESULTS:

The median risk-adjusted ADR for all surveyed physicians was 29.3% (interquartile range, 24.1%-35.5%). We found no significant association between ADR and financial incentives, malpractice concerns, or physicians' perceptions of ADR as a quality metric. ADR was associated with the degree of self-reported compulsiveness relative to peers: among endoscopists who described themselves as much more compulsive, the ADR was 33.1%; among those who described themselves as somewhat more compulsive, the ADR was 32.9%; among those who described themselves as about the same as others, the ADR was 26.4%; and among those who described themselves as somewhat less compulsive, the ADR was 27.3%) (P = .0019). ADR also associated with perceived thoroughness (much more thorough than peers, ADR = 31.5%; somewhat more, 31.9%; same/somewhat less, 27.1%; P = .0173). Physicians who reported feeling rushed, having difficulty pacing themselves, or having difficulty in accomplishing goals had higher ADRs. A secondary analysis found the same associations between personality and adenomas per colonoscopy.

CONCLUSIONS:

In a survey of endoscopists and comparison of results with ADRs, we found no significant association between ADR and financial incentives, malpractice concerns, or perceptions of ADR as a quality metric. However, ADRs were higher among physicians who described themselves as more compulsive or thorough, and among those who reported feeling rushed or having difficulty accomplishing goals.

IMPORTANCE:

There has been wide interest in using artificial intelligence (AI)-based grading of retinal images to identify diabetic retinopathy, but such a system has never been deployed and evaluated in clinical practice.

OBJECTIVE:

To describe the performance of an AI system for diabetic retinopathy deployed in a primary care practice.

DESIGN, SETTING, AND PARTICIPANTS:

Diagnostic study of patients with diabetes seen at a primary care practice with 4 physicians in Western Australia between December 1, 2016, and May 31, 2017. A total of 193 patients consented for the study and had retinal photographs taken of their eyes. Three hundred eighty-six images were evaluated by both the AI-based system and an ophthalmologist.

MAIN OUTCOMES AND MEASURES:

Sensitivity and specificity of the AI system compared with the gold standard of ophthalmologist evaluation.

RESULTS:

Of the 193 patients (93 [48%] female; mean [SD] age, 55 [17] years [range, 18-87 years]), the AI system judged 17 as having diabetic retinopathy of sufficient severity to require referral. The system correctly identified 2 patients with true disease and misclassified 15 as having disease (false-positives). The resulting specificity was 92% (95% CI, 87%-96%), and the positive predictive value was 12% (95% CI, 8%-18%). Many false-positives were driven by inadequate image quality (eg, dirty lens) and sheen reflections.

CONCLUSIONS AND RELEVANCE:

The results demonstrate both the potential and the challenges of using AI systems to identify diabeticretinopathy in clinical practice. Key challenges include the low incidence rate of disease and the related high false-positive rate as well as poor image quality. Further evaluations of AI systems in primary care are needed.

OBJECTIVES:

Endoscopist quality measures such as adenoma detection rate (ADR) and serrated polyp detection rates (SPDRs) depend on pathologist classification of histology. Although variation in pathologic interpretation is recognized, we add to the literature by quantifying the impact of pathologic variability on endoscopist performance.

METHODS:

We used natural language processing to abstract relevant data from colonoscopy and related pathology reports performed over 2 years at four clinical sites. We quantified each pathologist's likelihood of classifying polyp specimens as adenomas or serrated polyps. We estimated the impact on endoscopists' ADR and SPDR of sending their specimens to pathologists with higher or lower classification rates.

RESULTS:

We observed 85,526 colonoscopies performed by 119 endoscopists; 50,453 had a polyp specimen, which were analyzed by 48 pathologists. There was greater variation across pathologists in classification of serrated polyps than in classification of adenomas. We estimate the endoscopist's average SPDR would be 0.5% if all their specimens were analyzed by the pathologist in our sample with the lowest classification rate and 12.0% if all their specimens were analyzed by the pathologist with the highest classification rate. In contrast, the endoscopist's average ADR would be 28.5% and 42.4% if their specimens were analyzed by the pathologist with lowest and highest classification rate, respectively.

CONCLUSIONS:

There is significant variation in pathologic interpretation, which more substantially affects endoscopist SPDR than ADR.

BACKGROUND:

There is concern that mental and physical fatigue among endoscopists over the course of the day will lead to lower adenoma detection rate (ADR). There are mixed findings in the prior literature on whether such an association exists.

AIMS:

The aim of this study was to measure the association between the number of colonoscopies performed in a day and ADR and withdrawal time.

METHODS:

We analyzed 86,624 colonoscopy and associated pathology reports between October 2013 and September 2015 from 131 physicians at two medical centers. A previously validated natural language processing program was used to abstract relevant data. We identified the order of colonoscopies performed in the physicians' schedule and calculated the ADR and withdrawal time for each colonoscopy position.

RESULTS:

The ADR for our overall sample was 29.9 (CI 29.6-30.2). The ADR for colonoscopies performed at the 9th + position was significantly lower than those at the 1st-4th or 5th-8th position, 27.2 (CI 25.8-28.6) versus 29.9 (CI 29.5-30.3), 30.2 (CI 29.6-30.9), respectively. Withdrawal time steadily decreased by colonoscopy position going from 11.6 (CI 11.4-11.9) min for the 1st colonoscopy to 9.6 (8.9-10.3) min for the 9th colonoscopy.

CONCLUSION:

In our study population, ADR and withdrawal time decrease by roughly 7 and 20%, respectively, by the end of the day. Our results imply that rather than mental or physical fatigue, lower ADR at the end of the day might be driven by endoscopists rushing.