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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Surg Obes Relat Dis. 2018 Aug 28;14(12):1903–1910. doi: 10.1016/j.soard.2018.08.014

Factors Associated with Bariatric Surgery Utilization among Eligible Candidates: Who Drops Out?

Rafael Alvarez a, Niki Matusko a, Amanda L Stricklen b, Rachel Ross b, Colleen M Buda a, Oliver A Varban a,b
PMCID: PMC6294658  NIHMSID: NIHMS1508646  PMID: 30287182

Abstract

Background:

Bariatric surgery is underutilized.

Objectives:

To identify factors associated with eligible patient dropout from bariatric surgery.

Setting:

University hospital, United States.

Methods:

Eligible candidates were identified after multidisciplinary review committee (MRC) from all patients (n=484) who attended a bariatric surgery informational session (BIS) at a single-center academic institution in 2015. We compared patients who underwent surgery within 2 years of BIS to those who did not (i.e. dropped out) by evaluating patient, insurance, and program-specific variables. Univariate analyses and multivariable regressions were performed to identify factors associated with patient dropout among eligible candidates.

Results:

We identified 307 (63%) patients who underwent MRC. Thirty-three (11%) patients were deemed poor candidates and surgery was not recommended. Among eligible candidates, 82 (30%) dropped out from the program. Factors independently associated with eligible patient dropout included: coronary artery disease (OR 0.13[0.02–0.66];p=0.014), hypertension (OR 0.46[0.24–0.87];p=0.017), time from BIS to MRC (OR 0.99[0.99–0.99];p=0.002), 3 months of medically supervised weight loss documentation (OR 0.09[0.02–0.51];p=0.007), endocrinology clearance (OR 0.26[0.09–0.76];p=0.014), hematology clearance (OR 0.37[0.14–0.95];p=0.039), urine drug screen testing (OR 0.31[0.13–0.72];p=0.006), additional psychological evaluation (OR 0.43[0.20–0.93];p=0.031), and required extra sessions with the dietitian (OR 0.39[0.17– 0.92];p=0.032). Thirty-three (6.8%) patients underwent surgery at another institution and 42% of these patients lived more than 50 miles from attended BIS site.

Conclusions:

Twenty-seven percent of patients did not undergo bariatric surgery at their initial site of evaluation despite being considered eligible candidates after MRC. Dropout was independently associated with patient, insurance, and program-specific variables which may represent barriers to care amenable to improvement.

Keywords: Bariatric surgery, patient characteristics, insurance requirements, bariatric program requirements, patient dropout, failure to progress to bariatric surgery

Graphical Abstract

graphic file with name nihms-1508646-f0001.jpg

Eligible Candidate Dropout from Bariatric Surgery is Independently Associated with Patient, Insurance, and Bariatric Program-specific Factors. MRC, multidisciplinary review committee; CAD, coronary artery disease; HTN, hypertension; BIS, bariatric informational session; MSWLD, medically supervised weight loss documentation.

Introduction

Bariatric surgery remains the most effective therapy for severe obesity and related comorbidities. [15] Despite these well-stablished benefits, less than one percent of adult patients undergo bariatric surgery in the United States (US) annually. [68] Meanwhile, the prevalence of obesity continues to grow both globally and in the US, where over 36% of adults and 17% of youth are affected. [9,10] According to the National Institutes of Health (NIH), patients who are eligible for bariatric surgery must have a body mass index (BMI) over 40 kg/m2 or over 35 kg/m2 plus obesity-related comorbidities. Patients are also required to be well-informed of the risks and benefits of surgery, have failed non-surgical attempts at weight loss, and be committed to lifelong healthy eating. [11]

In order to address these requirements and allow for insurance coverage, bariatric surgery programs typically offer a group session to inform potential patients about surgical options for obesity. Next, interested patients undergo a medical, dietary, and psychological evaluation in order to ascertain suitability in a multidisciplinary fashion. In addition, some patients may be required by their insurance carrier to undergo 3, 6 or 12 months of documented medically supervised weight loss. Moreover, some patients may require further testing or consultation with subspecialists as their initial bariatric surgery evaluation may uncover additional health problems. Given the complexity and duration of the current pathway to bariatric surgery, it is unclear how many patients continue to pursue surgery even after being considered a suitable candidate by a bariatric surgery program.

Herein we explored the rate of bariatric surgery utilization within a group of patients who attended a bariatric informational session (BIS) and were considered eligible candidates after a multidisciplinary review committee (MRC). We compared patients who underwent surgery to those who did not to identify patient, insurance, and program-specific variables that were associated with patients who dropped out.

Methods

Data Source, Study Population, and Data Collection

This study is based on the analysis of patient data collected from a single academic center bariatric program. This research was approved by the Institutional Review Board and was in compliance with the Health Information Portability and Accountability Act. All adults who attended a BIS in 2015 were identified (n=484). Patients who completed all of their evaluations (medical, dietary and psychological) underwent MRC and eligible patients were offered laparoscopic sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB). Patients who had uncompensated cardiac, pulmonary, renal or hepatic disease, were not able to tolerate anesthesia, or attempted suicide within 1 year were not considered surgical candidates. Patients who failed to undergo surgery within 2 years of their initial BIS were considered to have dropped out. Dates of BIS, MRC, and surgery were collected and the length of time, in days, from BIS to MRC and to surgery calculated. Data were abstracted for all patients who underwent all clinic evaluations within the bariatric surgery program using the electronic medical record (EMR). Data included age, gender, body mass index (BMI), and diagnosed comorbidities including coronary artery disease (CAD), asthma, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes, gastroesophageal reflux disease (GERD), hyperlipidemia (HL), hypertension (HTN), psychological diagnoses, arrhythmias, and active smoking. Patient Zone Improvement Plan (ZIP) codes were also obtained from the EMR and were used to calculate the distance between their residence and BIS/clinic site. Insurance and program specific requirements were obtained from a letter that was mailed to the patient after undergoing MRC. Insurance-specific variables included: type of insurance (Blue Cross Blue Shield/Blue Complete Network—BCBS/BCN, other private insurance, or Medicare), duration of medically supervised weight loss documentation (MSWLD) and requirements including a primary care physician letter, psychological, cardiology, and pulmonology evaluations, alcohol/drug screening, esophagogastroduodenoscopy (EGD), nicotine testing, thyroid function testing, and 1-year free from substance abuse. Bariatric surgery program-specific variables included: laboratory testing (cotinine level, urine drug/alcohol screen, Helicobacter pylori breath test), imaging and additional testing (electrocardiogram, echocardiogram, cardiac stress test, abdominal ultrasound, abdominal computer tomography, EGD, esopahgram, upper gastrointestinal study, colonoscopy), consultation with specialists (sleep clinic, psychological, cardiology, endocrinology, neurology, pulmonology, nephrology, hematology, and gastroenterology) and social/financial/lifestyle/educational tasks (preparation of a financial/childcare/caregiver plan, attendance of a support person to clinic visits or nutrition education class, attendance of the bariatric program run support group meeting, required extra sessions with a dietitian, required 4 weeks of a preoperative low calorie liquid diet, required ambulation to all clinic visits, and required that the patient pursue sleeve gastrectomy only).

Patients who dropped out after undergoing a BIS or MRC and underwent surgery at another institution were identified by querying a statewide, bariatric-specific clinical registry described elsewhere. [12] Data obtained from these patients included procedure type and distance from initial BIS/MRC evaluation and patient residence.

Study Design and Statistical Analysis

The primary outcome of this study was patient dropout after being considered an eligible candidate for bariatric surgery following MRC. Secondary outcomes included overall dropout defined as the proportion of patients initially presenting to BIS but failing to progress to surgery after excluding unsuitable surgical candidates and patient, insurance, and program- specific factors. We identified all patients that underwent MRC (n=307) and compared patient, insurance, and program-specific variables between those who underwent surgery (n=192) and those who dropped out from our program (n=82). Univariate analyses and multivariable regression were performed to identify factors predictive of eligible patient dropout from surgery after MRC.

Sample characteristics are presented as means ± standard deviations (SD) or medians with interquartile ranges as appropriate for continuous variables and frequencies and percentages for categorical variables. Individual univariate comparisons for continuous variables were compared surgery (1=yes, 0=no) via independent samples t-test or Mann- Whitney tests and categorical variables were compared by using Pearson chi-squared tests or Fisher’s exact test as appropriate. Variables found to be significant at p<0.05 were further examined in a multivariable logistic regression to determine independent predictor variables while accounting for others. P values <0.05 were identified as statistically significant and all analyses were performed in STATA13 (StataCorp. 2013. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP).

Results

A total of 484 patients underwent BIS and 307 (63%) patients underwent MRC. Thirty- three (11%) patients were not considered candidates for surgery. Among eligible candidates, 82 (30%) patients dropped out and 192 (70%) patients underwent surgery (176, SG and 16, RYGB). Average time from BIS to MRC was 122 (±121) days and from MRC to surgery was 175 (±93) days (Figure 1).

Figure 1.

Figure 1.

Design, Overall, and Eligible Patient Dropout Rates. BIS indicates bariatric informational session; MRC, multidisciplinary review committee; SG, sleeve gastrectomy; RYGB, Roux-en-Y gastric bypass; BPD-DS, biliopancreatic diversion with duodenal switch; *, rates account for patients undergoing surgery at another institution.

Characteristics of patients who underwent surgery at our institution and those who dropped out are compared in Table 1. The groups were similar in terms of age, sex, and BMI. Eligible patients who dropped out had a higher rate of CAD (11.0% vs. 1.0%; p<0.0001), HTN (63.4% vs. 42.7%; p=0.002), active smoking (18.3% vs. 7.2%; p=0.007), and a longer waiting period between BIS and MRC (164 days vs. 103 days; p=0.004) when compared to patients who underwent surgery.

Table 1.

Patient Characteristics by Group

 Characteristic Surgery (n=192) Dropped Out (n=82) p-value
 Age (years); mean (± SD) 44.9 (±11.8) 46.1 (±12.3) 0.472
 Female; % 82.8  73.1 0.068
 BMI (kg/m2); mean (± SD) 46.9 (±7.3) 47.5 (±8.0) 0.604
 Comorbidity
  CAD; % 1.0  10.9 <0.0001
  Asthma; % 29.1  29.2 0.986
  CHF; % 0.5  2.4 0.214
  COPD; % 2.0  6.1 0.133
  Diabetes; % 30.2  29.2 0.876
  GERD; % 61.4  63.4 0.760
  HLD; % 44.7  46.3 0.813
  HTN; % 42.7  63.4 0.002
  Psychological; % 74.4  63.4 0.064
  Arrhythmia; % 5.2  7.3 0.495
  OSA; % 60.4  48.7 0.075
  Smoking; % 7.2  18.2 0.007
 Distance from clinic (miles); mean (± SD) 19.7 (±19.3) 18.4 (±17.2) 0.614
 Days from BIS to MRC; mean (± SD) 103.7 (±94.2) 164.2 (±160.2) 0.004
 On-line informational meeting; % 2.0  3.6 0.431

SD indicates standard deviation; BMI, body mass index; CAD, coronary artery disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; GERD, gastroesophageal reflux disease; HLD, hyperlipidemia; HTN, hypertension; OSA, obstructive sleep apnea; BIS, bariatric informational session; MRC, multidisciplinary review committee

Insurance-specific requirements for each group are contrasted in Table 2. Patients dropping out were less likely to have private insurance (81.2% vs. 91.1%; p=0.022) including BCBS/BCN (63.7% vs. 82.2%; p<0.001) and more likely to have private insurance other than BCBS/BCN (17.5% vs. 8.9%; p=0.042) or Medicare (8.9% vs. 18.7%; p=0.022). Though insurances for patients dropping out were less likely to offer a waiver for MSWLD than payers for patients undergoing surgery (59.7% vs. 75.5%; p=0.009), the proportion of patients meeting this criterium and having this requirement waived did not differ between groups. Duration of MSWLD varied between groups with patients dropping out more likely to have 3 months (7.3% vs. 1.0%; p=0.01) and less likely to have 6 months of MSWLD (69.5% vs. 88.0%; p<0.001).

Table 2.

Insurance Requirements by Group

 Characteristic Surgery (n=192) Dropped Out (n=82) p-value
 Insurance
  Private; % 91.1 81.2 0.022
    BCBS/BCN; % 82.2 63.7 <0.001
    Other private; % 8.9 17.5 0.042
  Medicare; % 8.9 18.7 0.022
 Requirement
 MSWLD required; % 91.1 84.1 0.089
 MSWLD waiver offered for BMI > 50 kg/m2; % 75.5 59.7 0.009
 MSWLD waived for BMI > 50 kg/m2; % 2.0  6.1 0.088
 Duration of MSWLD 0.001
  No MSWLD; % 8.8 15.8 0.089
  3 months MSWLD; % 1.0  7.3 0.01
  6 months MSWLD; % 88.0 69.5 <0.001
  12 months MSWLD; % 2.0  7.3 0.07
 PCP letter; % 100.0 100.0 1.000
 Psychological evaluation; % 1.0  1.2 0.214
 Cardiology evaluation; % 9.3  9.7 0.921
 Pulmonology evaluation; % 9.3  9.7 0.921
 Alcohol/drug screen; % 9.3 10.9 0.684
 EGD; % 9.3  9.7 0.921
 Nicotine testing; % 0.5  1.2 0.506
 1-year substance abuse free; % 0.5  0.0 0.515
 TSH; % 9.3  9.7 0.921

BCBS/BCN indicates Blue Cross & Blue Shield/Blue Cross Network; MSWLD, medically supervised weight loss documentation; BMI, body mass index; PCP, primary care physician; EGD, esophagogastroduodenoscopy; TSH, thyroid stimulating hormone

Program-specific requirements are compared between patients who dropped out and those undergoing surgery in Table 3. Laboratory tests including cotinine level (23.1% vs. 10.4%; p=0.006) and urine drug screen (UDS) (25.6% vs. 7.8%; p<0.001) were more frequently requested from patients who dropped out compared with those who had surgery. Patients dropping out were also more likely to be referred for specialist assessment including endocrinology (14.6% vs. 4.1%; p=0.002), nephrology (9.7% vs. 1.5%; p=0.004), hematology (14.6% vs. 6.7%; p=0.038), and additional psychological evaluation (25.6% vs. 13.0%; p=0.011) than patients undergoing surgery. Other program requirements including having patients provide a financial plan (35.3% vs. 22.4%; p=0.026), being accompanied by a support person during clinic visits (8.5% vs. 2.6%; p=0.047) and nutrition education class (48.7% vs. 32.2%; p=0.01), attending extra sessions with the Registered Dietitian (RD) (21.9% vs. 9.9%; p=0.007), and being able to walk to appointments (7.3% vs. 1.5%; p=0.023) were more frequently requested of patients dropping out than from those proceeding with surgery. Altogether, patients who dropped out were faced with more overall program requirements (7.2±2.9 vs. 5.3±2.4; p<0.0001) including laboratory requirements (0.6±0.9 vs. 0.2±0.6; p=0.0007), specialists’ consultations (1.8±1.4 vs. 1.1±1.1; p<0.0001), and other program requirements (4.0%±1.6 vs. 3.2±1.1; p<0.0001) compared to those undergoing surgery.

Table 3.

Program Requirements by Group

Requirement Surgery (n=192) Dropped Out (n=82) p-value
Laboratory
  Cotinine level; % 10.4 23.1 0.006
  UDS level; % 7.8 25.6 <0.001
  ETOH level; % 4.6  7.3 0.381
  Urea breath test; % 3.1  3.6 1
Imaging and special tests
  EKG; % 0.5  2.4 0.214
  Echo; % 5.2  4.8 1
  Stress test; % 4.1  9.7 0.071
  Abdominal US; % 6.7  8.5 0.607
  Abdominal CT; % 2.6  4.8 0.459
  EGD; % 25.5 25.6 0.988
  Esophagram; % 5.2  4.8 1
  UGI; % 3.1  3.6 1
  Colonoscopy; % 7.2  6.1 0.802
Specialists
  Sleep clinic/CPAP compliance; % 33.3 43.9 0.096
  Additional psychological evaluation; % 13.0 25.6 0.011
  Cardiology clearance; % 21.8 32.9 0.054
  Endocrinology clearance; % 4.1 14.6 0.002
  Neurology clearance; % 3.6  6.1 0.352
  Pulmonology clearance; % 11.4 15.8 0.318
  Nephrology clearance; % 1.5  9.7 0.004
  Hematology clearance; % 6.7 14.6 0.038
  Gastroenterology clearance; % 10.4 12.2 0.666
Other
 Social and financial support
  Financial plan; % 22.4 35.3 0.026
  Childcare plan; % 10.9  13.4 0.559
  Caregiver plan; % 25.5  32.9 0.21
  Support person during clinic visits; % 2.6  8.5 0.047
  SO/family required at NE class; % 32.2  48.7 0.01
  SGM 1; % 99.4 100.0 0.513
  SGM 2; % 100.0 100.0 1
 Education, lifestyle, and surgical
  Extra sessions with RD; % 9.9  21.9 0.007
  4 weeks of liquid diet; % 20.3  28.0 0.161
  Must walk; % 1.5  7.3 0.023
  SG only option; % 3.1  6.1 0.314
 All program requirements; mean (± SD) 5.3(2.4) 7.2(2.9) <0.0001
 Laboratory program requirements; mean (± SD) 0.2(0.6) 0.6(0.9) 0.0007
 Imaging program requirements; mean (± SD) 0.6(0.8) 0.7(0.8) 0.4139
 Specialists program requirements; mean (± SD) 1.1(1.1) 1.8(1.4) <0.0001
 Other program requirements; mean (± SD) 3.2(1.1) 4.0(1.6) <0.0001

UDS indicates urine drug screen; ETOH, ethanol; EKG, electrocardiogram; US, ultrasound; CT, computerized tomography; EGD, esophagogastroduodenoscopy, UGI, upper gastrointestinal series; CPAP, continuous positive airway pressure therapy; SO, significant other; NE, nutrition education; SGM, support group meeting; RD, registered dietitian; SG, sleeve gastrectomy

Odds ratios derived from multivariable regression of patient, insurance, and program- specific factors are summarized in Table 4. After controlling for age, sex, BMI, and distance from clinic, characteristics associated with decreased odds (95%CI; p value) of undergoing surgery included CAD 0.13 (0.02–0.66; p=0.014), HTN 0.46 (0.24–0.87; p=0.017), time from BIS to MRC 0.99 (0.99–0.99; p=0.002), 3 months of MSWLD 0.09 (0.02–0.51; p=0.007), endocrinology clearance 0.26 (0.09–0.76; p=0.014), hematology clearance 0.37 (0.14–0.95; p=0.039), UDS 0.31 (0.13–0.72; p=0.006), additional psychological evaluation 0.43 (0.20–0.93; p=0.031), and extra sessions with RD 0.39 (0.17–0.92] p=0.032).

Table 4.

Multivariable Regression of Patient, Insurance, and Program Factors

 Characteristic* Odds of undergoing surgery (95% CI) p-value
 Patient factors
  CAD 0.13 (0.02–0.66) 0.014
  HTN 0.46 (0.24–0.87) 0.017
  Days from BIS to MRC 0.99 (0.99–0.99) 0.002
 Insurance requirements
  3 months MSWLD 0.09 (0.02–0.51) 0.007
 Program requirements
  Endocrinology clearance 0.26 (0.09–0.76) 0.014
  Hematology clearance 0.37 (0.14–0.95) 0.039
  UDS level 0.31 (0.13–0.72) 0.006
  Additional psychological evaluation 0.43 (0.20–0.93) 0.031
  Extra sessions with RD 0.39 (0.17–0.92) 0.032

CI indicates confidence interval; CAD, coronary artery disease; HTN, hypertension; BIS, bariatric informational session; MRC, multidisciplinary review committee; MSWLD, medically supervised weight loss documentation; UDS, urine drug screen; RD, registered dietitian

*

Variables with p value <0.05 after stepwise regression shown. All variables with univariate p value <0.05 were included

Out of 484 patients attending BIS at our bariatric program, 33 (7%) underwent surgery at another institution. Among these patients, 21 (64%) had dropped out after BIS but before undergoing MRC, while 8 (24%) dropped out after being considered eligible surgical candidates. Interestingly, 4 (12%) patients considered poor surgical candidates after MRC by our program underwent surgery elsewhere in the state (Figure 1). Forty-two percent of patients who underwent surgery at another institution lived 50 or more miles away from our center.

Discussion

In this study, we explore the impact of patient, insurance, and program-specific factors on dropout rates for bariatric surgery among patients already considered suitable candidates by a bariatric surgery program. Our data show that approximately one quarter of patients failed to pursue surgery after MCR and that these patients tended to have more comorbidities, Medicare or private insurance other than BCBS/BCN, longer wait times from BIS to MRC, insurance-mandated MSWLD, and more laboratory and subspecialty evaluations as required by the bariatric surgery program. Identifying the reasons behind patient dropout is an important step to improving bariatric surgery utilization among patients who need it most.

Reported dropout rates for bariatric surgery among eligible candidates in the US range from 27.2 to 30.8%, which is similar to the findings in our study. [13,14] In addition, we report an overall dropout rate after initial BIS of 53.5%. Likewise, similar rates anywhere from 43.9 to 51.1% have been reported by others. [1517] Interestingly, equivalent rates ranging from 47.7 to 48.6% have also been reported in Canada despite differences in healthcare payment models. [18,19] Given these similarities, it is possible that patients’ attitudes, motivations, and perceptions regarding surgery may play a more significant role in early dropout (i.e. prior to initial evaluations and MRC) than healthcare policy. Further studies addressing these are needed and may help explain why overall utilization of bariatric surgery is so low.

We found that dropout was higher among smokers, which is not surprising as our program requires patients to quit smoking preoperatively with a negative urine cotinine and some patients may be unwilling or unable to do so. Smoking cessation is a common requirement given the link between tobacco use and worse outcomes. [20,21] Not surprisingly, others have also noted an association between smoking and patient dropout. [16,22] We also found that CAD and HTN were independently associated with dropping out. Earlier reports have not shown an association between HTN and patient dropout and to date CAD is a variable that has not been captured. [16,22] We hypothesize that HTN and CAD are associated with greater need for cardiology evaluation, which may prolong the time to bariatric surgery and result in patient dropout. Thus, streamlining access to subspecialty services as well as access to tobacco cessation programs may decrease dropout rates among eligible patients.

In addition, the type of insurance and length of required MSWLD was associated with patient dropout. Patients with Medicare and private insurance other than BCBS/BCN were more likely to drop out as did patients who required 3 months of MSWLD. Likewise, Love et al., [16] demonstrated that patients with private insurance were more likely to proceed with surgery. Also, their study suggested that longer duration of MSWLD was associated with patient dropout. It is important to note that BCBS/BCN is the major payer at our center, insuring 76.6% of patients included in this sample and that this payer requires 6 months of MSWLD. Thus, it is likely that the familiarity of our program with the policies and procedures of this major insurance carrier resulted in lower patient dropout despite requiring a longer period of MSWLD. Nevertheless, there are no data supporting insurance-mandated MSWLD prior to bariatric surgery, a requirement which is inconsistently and arbitrarily applied to eligible patients seeking a lifesaving treatment. [23] Our study advocates for collaboration between bariatric surgery programs and payers to improve patient access to surgery.

Finally, our report offers a detailed analysis of program-specific requirements that influenced eligible patient dropout. Our data indicate that patients who faced additional laboratory testing, specialist evaluation, and other requirements targeting social and financial support, education, and lifestyle modifications were more likely to drop out, even though it was considered necessary for postoperative success. Several studies have shown an association between psychological comorbidities, particularly substance abuse, and patient dropout. [13,15,18,24] Ongoing psychological therapy has also been associated with outstanding program requirements and may result in patient dropout. [25] Given that preoperative optimization of both medical and psychological diagnoses can improve outcomes for elective surgery, our study highlights how a multidisciplinary bariatric surgery program can impose its own requirements based on their clinical evaluation. As such, we feel that it is unnecessary for insurance to mandate specific requirements that are not based on clinical necessity. However, we do recognize that additional requirements, even when clinically necessary, can increase wait times for surgery and thus contribute to higher patient dropout rates. Patients’ perceived barriers to care may also influence their decision to switch programs, as eight eligible candidates (9.8%) did so in our study. Overall, our findings highlight the need for improved access to specialty care services including registered dietitians and mental health professionals.

When interpreting these data some limitations should be considered. This a single- center study with a major insurance payer which may limit generalizability. Although we were able to obtain granular data on program-specific requirements applied to patients eligible for bariatric surgery, further studies that include a wide range of practice types (i.e. academic and private) are necessary. Also, our data does not capture the exact time patients started and finished MSWLD relative to their bariatric surgery evaluations, which could have biased our analysis of this insurance requirement. Lastly, we did not explore wait times for specialists’ evaluations or patient perceptions of bariatric surgery, which may have affected dropout rates. Nevertheless, this study explores numerous program-specific factors which have not been examined in prior studies and are not captured by current data registries.

Conclusions

Approximately one quarter of patients failed to pursue bariatric surgery after being considered eligible candidates by a multidisciplinary bariatric surgery program. Dropout rates were independently associated with cardiovascular disease, insurance-mandated MSWLD, and additional program-specific requirements such as substance use cessation and subspecialty evaluations. Efficient coordination of care along with elimination of arbitrary requirements may help improve dropout among eligible candidates for bariatric surgery.

Highlights.

  • Twenty-seven percent of eligible candidates drop out from bariatric surgery.

  • Heart disease and time to multidisciplinary review were associated with dropout.

  • Insurance-mandated medical weight loss documentation was associated with dropout.

  • Specialist evaluation and substance use cessation were associated with dropout

Acknowledgements and sources of support:

Supported by a Ruth L. Kirschstein National Research Service Award (T32) grant awarded to Dr. Justin B. Dimick through the National Institutes of Health (1T32DK108740-01).

One of the authors receives salary support from Blue Cross Blue Shield for leadership and participation in statewide quality improvement initiatives. The remaining authors have no commercial associations.

Footnotes

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Disclosures

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