jueves, 6 de abril de 2017

Factors in Placement and Enrollment of Primary Care Patients in YMCA’s Diabetes Prevention Program, Bronx, New York, 2010–2015

Factors in Placement and Enrollment of Primary Care Patients in YMCA’s Diabetes Prevention Program, Bronx, New York, 2010–2015

Centers for Disease Control and Prevention. CDC twenty four seven. Saving Lives, Protecting People

 PCD logo

Image of eCard

Factors in Placement and Enrollment of Primary Care Patients in YMCA’s Diabetes Prevention Program, Bronx, New York, 2010–2015

Earle C. Chambers, PhD, MPH1,2,3; Colin D. Rehm, PhD, MPH2,3; Jordan Correra, BA4; Lydia Elena Garcia, MS4; Melinda E. Marquez, MPH2; Judith Wylie-Rosett, PhD3; Amanda Parsons, MD, MBA1,2 (View author affiliations)

Suggested citation for this article: Chambers EC, Rehm CD, Correra J, Garcia LE, Marquez ME, Wylie-Rosett J, et al. Factors in Placement and Enrollment of Primary Care Patients in YMCA’s Diabetes Prevention Program, Bronx, New York, 2010–2015. Prev Chronic Dis 2017;14:160486. DOI: http://dx.doi.org/10.5888/pcd14.160486.


The reach of the New York State YMCA’s Diabetes Prevention Program (DPP) to at-risk populations may be increased through integration with primary care settings. Although considerable effort has been made in the referral and retention of patients, little is known about the factors associated with the placement of potential participants into YMCA’s DPP.
Among Montefiore Health System (MHS) patients referred to YMCA’s DPP (n = 1,249) from July 10, 2010, through November 11, 2015, we identified demographic factors (eg, age, preferred language) and primary care practice-level factors (eg, time between referral and start of session, session season) associated with placement into a session and subsequent drop-out. We also evaluated factors associated with weight loss.
Patients were predominantly female (71%) and aged 45 years or older (71%). Patients preferring sessions in Spanish were less often placed in sessions. Patients aged 18 to 44 years were less often placed (P = .01) and enrolled (P = .001) than patients aged 60 years or older. Sessions conducted in the summer and spring had higher enrollment than fall and winter months. Patients who started the YMCA’s DPP within 2 months of their referral date were more often enrolled (54.4%) than patients who waited 4 or more months (21.6%) to start their sessions. Patients aged 45 to 59 years lost marginally less weight than those aged 60 years or older (−3.1% vs −3.8%; P = .07).
Although this evaluation gives some insight into the barriers to placement and enrollment in YMCA’s DPP, challenges remain. Efforts are under way to increase referral of patients to community-based DPPs.


The Centers for Disease Control and Prevention (CDC) estimates that 35% of US adults have prediabetes (1). Approximately 11% of people with prediabetes will develop overt diabetes each year without any intervention (2). CDC’s National Diabetes Prevention Program (National DPP) (3,4) lifestyle modification intervention is an evidence-based approach to reducing the risk of developing type 2 diabetes among individuals with prediabetes. The Diabetes Prevention Program trial showed that, relative to no intervention, the lifestyle intervention promoting a healthful diet and increased physical activity decreased risk of developing diabetes after 10 years of follow-up by 34% (5).
The YMCA has adapted the National DPP model and offers it among its wellness programs. The 2010 through 2012 results from the New York State YMCA’s Diabetes Prevention Program (YMCA’s DPP) from 14 sites showed average weight loss approaching the 5% weight loss reported in the DPP randomized trial; 40% reached 5% weight loss and average weight loss was 4.2% (6). Although participants in the YMCA’s DPP were successful at reaching weight-loss goals, participants were predominantly white and female, and only 6.7% received Medicaid compared with 27% in New York State overall. Further analysis of the YMCA’s DPP showed that black participants as well as those with less education or with lower income were less likely to complete the program. Among the recommendations of this demonstration project was a “need for targeted approaches to reach and retain a broader population, including men, minorities, and individuals who are low-income and uninsured or publicly insured” (6,7).
Ackermann et al reported that 24% of participants placed in YMCA’s DPP did not attend any sessions at all, and 15% were lost to follow-up by months 4 through 6 (8). Within the clinical setting, factors associated with the referral of patients to a DPP by the health care provider and factors associated with attrition among patients currently enrolled in a DPP are the focus of much of the engagement strategies regarding DPPs (9). It is unclear what happens between the point of referral from the health care provider to the YMCA’s DPP and subsequent progression of the patient through the program. Our study examined the demographic and primary care practice–related factors associated with the placement (patients scheduled to participate) and enrollment (patients completing ≥3 sessions) of patients referred to YMCA’s DPP. Furthermore, we examined the effect of these same factors on weight loss.


Program overview

Montefiore Health System (MHS) is a large integrated health system in the Bronx and Hudson Valley serving roughly 85% government payer (Medicaid and/or Medicare) patients. Beginning in 2010, MHS partnered with the YMCA of Greater New York to provide the 1-year YMCA’s DPP to eligible patients visiting Bronx-based primary-care clinics. Eligibility was based on criteria established by the YMCA and CDC, which were being aged 18 years or older, having no previous diabetes diagnosis (excluding gestational diabetes), being overweight or obese (body mass index [BMI] ≥25; ≥22 if Asian), and having a hemoglobin A1c between 5.7% and 6.4% (or fasting plasma glucose 100–125 mg/dL or 2-hour plasma glucose 140–199 mg/dL).
During an office visit, eligible patients were told by their physician of their risk of developing diabetes and were asked if they were interested in participating in the YMCA’s DPP. If the patient expressed interest, the physician referred the patient to the YMCA using the referral order in the electronic health record (EHR) system. The EHR system generated a referral form populated with the patient’s demographic and BMI information, which was faxed to the YMCA’s DPP after the referring physician obtained consent from the patient. The YMCA then entered patient, physician, and practice information into its internal database and attempted to contact the patient for placement. The schedule and location for starting new groups for the 16 core sessions of the program were based on the availability of lifestyle coaches, space to hold sessions, and patient demand. Attempts were made to place patients in the YMCA’s core groups for up to 1 year after the referral. There were 66 core groups in which MHS patients were placed over the study period. The program was made available to all patients at no charge because of in-kind donations from the YMCA of Greater New York and other grant-based funding. The YMCA’s DPP sessions were offered by trained lifestyle coaches in English or Spanish depending on patient preference. This study protocol was reviewed and approved by the institutional review board of MHS, Albert Einstein College of Medicine.

Patient data

A database maintained by the YMCA had demographic information, information about participants’ primary care site, and the characteristics of sessions. De-identified data were made available by the YMCA to MHS staff for analysis. Demographic factors included age group (18–44, 45–59, and ≥60 y), preferred language (English, Spanish, other/missing), and sex (female, male, and missing).
Data on primary care sites included the number of referrals to the YMCA’s DPP made by each provider (<5, 5–19, and ≥20); type of referring site (teaching site [physician residents and medical students provide care with supervision from attending physicians] vs nonteaching site [attending physicians provide patient care]); season of referral (spring, summer, fall, or winter); primary season in which sessions were held (eg, a session starting in mid-February would be coded as spring because most sessions occurred during the spring); whether the primary care site was a Federally Qualified Health Center (FQHC); time between the referral of the patient and the start of the sessions (<2, 2–3, and ≥4 months); and time of day of the session (ie, weekday during the day, weekday during the evening, or Saturday).
The YMCA’s DPP categorized patients as “placed” if scheduled to attend a session or “never placed” if never scheduled to attend a session. Subsequently, placed patients were further categorized based on their attendance in YMCA’s DPP sessions. Patients who attended 3 or more sessions were categorized as “enrolled.” Patients who never attended any sessions or dropped out of the program before attending 3 sessions were categorized as “never enrolled.”


This study was a secondary data analysis of MHS patients referred and placed in YMCA’s DPP. The first analysis included 1,249 MHS patients referred between July 29, 2010, and November 12, 2015, who were placed in a YMCA DPP session or had an active referral on file as of February 1, 2014. An active referral indicated a patient who was evaluated and referred to YMCA’s DPP by a health care provider and an effort was made to recruit that patient. The initial analysis was conducted to identify whether any demographic factors or primary care site factors were associated with being placed versus never placed among referred patients and whether there were factors associated with being enrolled versus never enrolled among placed patients. We compared the proportion within each category to a predefined reference group by using logistic regression models.
The second analysis comprised 287 MHS patients referred to YMCA’s DPP who started attending sessions between October 26, 2011, and July 28, 2015, and had recorded weight-change data available. Some of the patients in this analysis (n = 89) were enrolled in YMCA’s DPP and had weight-change information but were missing information regarding their referral; these patients were excluded from the prior referral analysis. Baseline weight was obtained from the first session attended by the patient. Final weight came from the last session attended by the patient, which may not have been obtained after completing the 16 core sessions. Two outcome variables were evaluated: average percentage weight change, which was evaluated as a continuous variable; and patients who met the weight-loss targets of more than 5% of initial body weight or who did not meet the weight-loss targets, evaluated as a dichotomous outcome variable. Five percent was used as a cutoff because it is the established National DPP program weight-loss goal and is used as the metric for evaluation of nationally registered programs (10). The significance of continuous weight change by the factors described above was evaluated by using a pairwise t test comparing the mean percentage weight change in one group to a predefined reference group. The significance of the categorical weight-change variable was assessed by comparing the proportion within each category to a predefined reference group by using logistic regression models.
An α level of .05 was used to determine statistical significance, and an α level of .10 was considered marginally significant. We used Stata 14.1 for Windows (StataCorp LP) to perform all analyses.


Of the MHS patients referred to the YMCA’s DPP, 33.6% were placed. Among those placed, 47.1% attended 3 or more sessions. Among the patients who were referred to YMCA’s DPP, patients aged 18 to 44 years (72.9%) were least often placed, whereas approximately 36% of patients aged 45 to 59 years and patients aged 60 years or older were placed ( Table 1). Patients preferring sessions in Spanish were less often placed than patients preferring English. No difference was observed in the placement of patients by sex, though patients missing sex information were somewhat less likely to be placed. A U-shaped relationship between number of referrals and placements was observed. Patients referred by providers making 20 or more referrals or providers making fewer than 5 referrals were least often placed, whereas patients referred by a provider making 5 to 19 referrals were most often placed. No difference in placement was observed by teaching versus nonteaching practice or whether the site was an FQHC. Fewer referrals were made in the summer, but these summer referrals were more often placed than winter referrals (41.0% vs 32.2%, P = .03).
Fifty-three percent of placed patients were never enrolled (Table 1). There was an age gradient in enrollment, with youngest (18–44 y) least often, and the oldest (≥60 y) most often enrolled. The proportion of enrolled was similar among patients preferring English versus Spanish, although patients preferring other languages or with missing language information were least often enrolled. Men and women were equally enrolled. Although the number of referrals made by each provider was associated with placement, no association was observed for number of referrals made by each provider and being enrolled. Type of practice or whether the primary care site was an FQHC was not associated with being enrolled. Patients referred in the spring were less often enrolled than patients referred in the winter. Patients who started their sessions within 2 months of their referral date were more often enrolled (54.4%) than patients who had to wait 4 or more months (21.6%). Lastly, patient enrollment was highest if the sessions took place in the summer (57.1%) and lowest in the fall (36.9%).
Among the 287 patients enrolled, the average weight change was −3.4% ( Table 2). Approximately 30% of patients enrolled lost 5% or more of their body weight (Figure). Patients aged 45 to 59 years lost marginally less weight than those aged 60 years or older (−3.1% vs −3.8%; P = .07). No differences in weight-loss percentage were observed by sex. Patients enrolled in the fall and winter sessions lost the least weight (−2.8% and −2.3%, respectively). No other examined factor was associated with differences in weight loss.
 Distribution of weight change among 287 Montefiore Health System patients enrolled in the New York State YMCA’s Diabetes Prevention Program, 2011–2015.
Figure. Distribution of weight change among 287 Montefiore Health System patients enrolled in the New York State YMCA’s Diabetes Prevention Program, 2011–2015. [A tabular version of this figure is also available.]


Placement and enrollment

CDC has developed guidelines to facilitate referral and enrollment of patients from the primary care setting into intensive lifestyle interventions such as YMCA’s DPP (10). However, evaluations of the process for placing patients in YMCA’s DPP are lacking. In our study, a third of the patients referred were placed in the program. Older patients and patients preferring sessions in English were most often placed. Understanding the importance of communicating and offering health behavior programs in Spanish and other languages is an important part of implementing DPPs. Tailoring the DPP to literacy needs and cultural preferences is an important component to successfully implementing DPPs in Spanish-speaking communities (11,12). Demographic differences in placement could also reflect an inability to reach some patients (eg, patients with missing or nonworking telephone number) or challenges in providing an adequate number of sessions in Spanish, for example. One unexpected finding was that patients referred by a provider making 20 or more referrals were less often placed than patients referred by providers who made fewer referrals. Whether this is a chance finding requires additional evaluation of other data, but it may suggest that providers making a large number of referrals are less selective in referring patients who are interested or able to participate in the program.
Although the National DPP defines enrollment as attending 4 or more sessions in the first 4 to 6 months of starting the program (10), the YMCA of the USA and the Diabetes Prevention and Control Alliance defines enrollment as attending 3 or more sessions. Therefore, YMCA’s DPP reporting includes participant outcomes for those attending 3 or more sessions. Comparing enrollment rates across community-based DPP studies is difficult because many studies do not report this information, the criteria for enrollment may differ from that of the National DPP, or the populations served are different across study sites. Nevertheless, a review of DPP enrollment rates across 16 studies by Whittemore reported enrollments between 57% and 96% (13). In our study, 47.1% of patients placed in YMCA’s DPP attended 3 or more sessions.
We showed that patients were less often enrolled if they waited longer between referral and start of first session. Numerous factors may influence this lag time. Patient-level factors such as being difficult to reach or having an inflexible or unpredictable schedule may hamper prompt placement. Systems-level factors, including number of sessions offered and their times and locations, may also influence the ability to place patients quickly. Because sessions in the current program were offered on an ad hoc basis, it is not possible to determine which factors influenced the lag time. We also showed that patients aged 60 years or older were more often enrolled than younger adults. This finding is consistent with weight-loss studies where retention rates were greatest among older participants (14–16). The reasons often provided to account for the high attrition among younger individuals include less financial stability, greater childcare burden, and less flexible work schedules (17). Attrition among younger participants is of particular concern given that approximately 26% of adults aged less than 60 years in the United States have prediabetes (18). Also, patients were more often placed if they were referred during the summer than the winter and less often enrolled if referred during the spring than the winter. Enrollment and weight loss were highest among those attending sessions in the spring and the summer. The seasonal relationships observed may reflect the times of year when patients prioritize weight-loss behaviors such as physical activity (19,20).
Although our patients requesting sessions in Spanish were less often placed in YMCA’s DPP (P = .06), we observed that they were enrolled in the program just as often compared with patients requesting English. This suggests that language preference is associated with initial engagement in the program but has little effect once patients are enrolled, indicating that the program was effective at engaging Spanish-speaking patients once enrolled. The National DPP is dedicated to providing the program to all communities and offers materials in many different languages. This is an important consideration in the Bronx, where 55% are of Hispanic/Latino origin and 47% speak Spanish at home (21).

Weight loss

MHS serves a predominantly low-income and medically underserved population. Many challenges in these communities may influence weight-loss programming, including high levels of poverty and limited access to healthy food options. The average weight loss in our study was 3.4%, which is less than the National DPP goal of 5% average weight loss. Because of the uncertainty of the dates of the data collection, the weight change cannot be categorized as occurring over a specific time period (eg, 16-week weight change), although the longest possible length of time our patients’ weights were recorded was 4 months. Nevertheless, in our study, 30% of patients lost 5% or more of their body weight during their enrollment. Reports from the New York State YMCA’s DPP show that 40% of participants lost 5% or more of their initial body weight (6).


This study was a secondary analysis of routinely collected data. Numerous variables that would have been of interest were unavailable, including data on weekly participation (eg, determining exactly when patients dropped out), weights for every session (eg, determining when weight loss is most likely to occur), the patient’s address (eg, does distance to location where DPP is offered affect attendance), and data on race/ethnicity of participants. In addition, qualitative data on reasons for dropping out or not being placed would add value, but were not available. The data presented here comprised only MHS patients, who may have been placed in sessions with non-MHS patients. Therefore, the results may not be generalizable to all participants in the YMCA’s DPP.


The results of this study have implications for the partnership of hospital systems and community-based organizations implementing DPP. Our findings indicate that approximately 16% of patients referred to YMCA’s DPP from our hospital system enrolled. More work is needed to increase the enrollment of patients referred to YMCA’s DPP. The results of our study point to a few areas where changes can occur to address placement and enrollment of patients but also point to where more information is necessary to further understand barriers. Lag time between referral and the start of the sessions needs to be reduced to maximize the likelihood of enrollment. The timing of referrals and sessions are important considerations when planning sessions. To optimize enrollment, efforts should be made to coordinate when referrals and sessions take place. Furthermore, efforts to target younger and Spanish-speaking adults are important.
An area in need of further research is that of the health care provider’s role in the identification and referral of eligible patients to YMCA’s DPP. We noticed that the number of referrals that a provider makes is associated with whether or not the patient was placed. These results highlight a need to better understand the process of patient selection and subsequent referral of patients during the clinical encounter. Incorporating referrals into the EHR is one strategy that has promise for increasing patient referrals to YMCA’s DPP (22).


We thank Dr Arthur Blank, Department of Family and Social Medicine, Albert Einstein College of Medicine, and Dr Nicole Harris-Hollingsworth, Office of Community and Population Health, Montefiore Health System, for their work on this project. E. C. C. was supported in part by a National Heart, Lung, and Blood Institute (K01HL125466) grant.

Author Information

Corresponding Author: Earle C. Chambers, PhD, MPH, Albert Einstein College of Medicine, Department of Family and Social Medicine, 1300 Morris Park Ave, Block 408, Bronx, NY 10461. Telephone: 718-430-3057. Email: earle.chambers@einstein.yu.edu.
Author Affiliations: 1Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, New York. 2Office of Community and Population Health, Montefiore Health System, Bronx, New York. 3Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York. 4YMCA of Greater New York, New York, New York.


  1. Centers for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta (GA): US Department of Health and Human Services, Centers for Disease Control and Prevention; 2011.
  2. Tabák AG, Jokela M, Akbaraly TN, Brunner EJ, Kivimäki M, Witte DR. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet 2009;373(9682):2215–21. CrossRef PubMed
  3. National Diabetes Prevention Program. https://www.cdc.gov/diabetes/prevention/index.html. Accessed February 2, 2017.
  4. Diabetes Prevention Program (DPP) Research Group. The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care 2002;25(12):2165–71. CrossRefPubMed
  5. Diabetes Prevention Program Research Group; Knowler WC, Fowler SE, Hamman RF, Christophi CA, Hoffman HJ, et al. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009;374(9702):1677–86. Erratum in Lancet 2009;374(9707):2054. CrossRef PubMed
  6. Bozack A, Millstein S, Garcel JM, Kelly K, Ruberto R, Weiss L. Implementation and outcomes of the New York State YMCA Diabetes Prevention Program: a multisite community-based translation, 2010–2012. Prev Chronic Dis 2014;11:E115. CrossRef PubMed
  7. New York State YMCA Diabetes Prevention Program: outcomes and implications. New York (NY): The New York Academy of Medicine, Center for Evaluation and Applied Research; New York State Health Foundation; October 2012.
  8. Ackermann RT, Finch EA, Brizendine E, Zhou H, Marrero DG. Translating the Diabetes Prevention Program into the community. The DEPLOY Pilot Study. Am J Prev Med 2008;35(4):357–63.CrossRef PubMed
  9. American Medical Association, Centers for Disease Control and Prevention. Preventing type 2 diabetes: a guide to refer your patients with prediabetes to an evidence-based diabetes prevention program. http://www.diabetesnc.com/downloads/0415/AMA-CDC_National_DPP_Provide.pdf. Accessed February 2, 2017.
  10. Centers for Disease Control and Prevention Diabetes Prevention Recognition Program. Standards and operating procedures. 2015. http://www.cdc.gov/diabetes/prevention/pdf/dprp-standards.pdf. Accessed February 2, 2017.
  11. Ruggiero L, Oros S, Choi YK. Community-based translation of the diabetes prevention program’s lifestyle intervention in an underserved Latino population. Diabetes Educ 2011;37(4):564–72.CrossRef PubMed
  12. Merriam PA, Tellez TL, Rosal MC, Olendzki BC, Ma Y, Pagoto SL, et al. Methodology of a diabetes prevention translational research project utilizing a community-academic partnership for implementation in an underserved Latino community. BMC Med Res Methodol 2009;9(1):20. CrossRef PubMed
  13. Whittemore R. A systematic review of the translational research on the Diabetes Prevention Program. Transl Behav Med 2011;1(3):480–91. CrossRef PubMed
  14. Spring B, Sohn MW, Locatelli SM, Hadi S, Kahwati L, Weaver FM. Individual, facility, and program factors affecting retention in a national weight management program. BMC Public Health 2014;14(1):363. CrossRef PubMed
  15. Jiang L, Manson SM, Dill EJ, Beals J, Johnson A, Huang H, et al. Participant and site characteristics related to participant retention in a diabetes prevention translational project. Prev Sci 2015;16(1):41–52. CrossRef PubMed
  16. Jiandani D, Wharton S, Rotondi MA, Ardern CI, Kuk JL. Predictors of early attrition and successful weight loss in patients attending an obesity management program. BMC Obes 2016;3(1):14.CrossRef PubMed
  17. Honas JJ, Early JL, Frederickson DD, O’Brien MS. Predictors of attrition in a large clinic-based weight-loss program. Obes Res 2003;11(7):888–94. CrossRef PubMed
  18. Cowie CC, Rust KF, Ford ES, Eberhardt MS, Byrd-Holt DD, Li C, et al. Full accounting of diabetes and pre-diabetes in the U.S. population in 1988–1994 and 2005–2006. Diabetes Care 2009;32(2):287–94. Erratum in Diabetes Care 2011;34(10):2338. CrossRef PubMed
  19. Lloyd L, Miller B. The impact of seasonality on changes in body weight and physical activity in Mexican-American women. Women Health 2013;53(3):262–81. CrossRef PubMed
  20. Matthews CE, Freedson PS, Hebert JR, Stanek EJ 3d, Merriam PA, Rosal MC, et al. Seasonal variation in household, occupational, and leisure time physical activity: longitudinal analyses from the seasonal variation of blood cholesterol study. Am J Epidemiol 2001;153(2):172–83. CrossRef PubMed
  21. US Census Bureau. American Community Survey, 2014 American Community Survey 1-year estimates generated by Colin D. Rehm using American FactFinder. https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml. Accessed April 28, 2016.
  22. Chambers EC, Wylie-Rosett J, Blank AE, Ouziel J, Hollingsworth N, Riley RW, et al. Increasing referrals to a YMCA-based Diabetes Prevention Program: effects of electronic referral system modification and provider education in federally qualified health centers. Prev Chronic Dis 2015;12:E189. CrossRef PubMed

No hay comentarios: