ABSTRACT
Diabetes education for ethnic minorities should address variations in values underlying motivations, preferences, and behaviors of individuals within an ethnic group. This paper describes the development and implementation of a culturally tailored diabetes intervention for Puerto Ricans that can be delivered by a health care paraprofessional and implemented in routine clinical care. We describe a formative process, including interviews with providers, focus groups with patients and a series of multidisciplinary collaborative workshops used to inform intervention content. We highlight the intervention components and link them to a well-validated health behavior change model. Finally, we present support for the intervention’s clinical effects, feasibility, and acceptability and conclude with implications and recommendations for practice. Lessons learned from this process should guide future educational efforts in routine clinical care.
KEYWORDS: Culturally tailored, Diabetes, Behavior change, Primary care, Puerto Rican
Ethnic minorities in the U.S. have higher rates of diabetes [3, 4], are less likely to perform diabetes self-care activities [27, 36, 43], and have worse control of their diabetes compared to Whites [10, 12, 27]. Among Hispanic Americans with diabetes, culture and language barriers have been associated with poor diabetes self-care activities and health outcomes [9, 18, 30, 38, 39]. However, the effect of interventions that address cultural and language barriers have produced mixed support [2, 24, 53, 55]. For instance, Sixta and Oswald [55] found improvements in diabetes knowledge, but not in glycemic control; Castillo et al. [2] found improvements in knowledge, self-care behaviors, and glycemic control, whereas Rosal et al. [51] found improvements in glycemic control, but not self-care behaviors.
While many diabetes interventions for Hispanics report improvements in diabetes knowledge, behavioral outcomes, and clinical outcomes, improvements are often modest and attrition is moderate to high in most studies [59]. This might be because most interventions have been atheoretical, implemented in community settings with inconsistent access to participants, group-based and thus generalized to all members of an ethnic group [25, 53]. Few interventions have been theoretically grounded, implemented within routine clinical care, and tailored to an individual within an ethnic group [6, 46]. More commonly, routine clinic-based education involves ad hoc efforts from physicians who rarely assess patient recall or comprehension of new concepts [54], or deliver culturally appropriate health messages in patients’ native language [37]. Training a health care paraprofessional (e.g., certified medical assistant [CMA], medical technician) to deliver a theoretically grounded intervention for diverse patient populations might be a critical step forward in identifying the most cost-effective, yet well-accepted strategies to promote diabetes self-care among high risk ethnic minority groups [45].
The Information–Motivation–Behavioral Skills (IMB) model is a theoretical model [15] that has been empirically supported in characterizing self-care activities among racially and ethnically diverse persons with diabetes [44, 47], and has demonstrated success as the underpinning of a culturally tailored clinic-based self-care intervention for Puerto Ricans with diabetes [46]. This paper describes the development and implementation of the aforementioned intervention, including the formative process that informed intervention design and content; descriptions of the intervention components; the intervention’s clinical effects, feasibility, acceptability, and sustainability; and the lessons learned.
FORMATIVE PROCESS
The IMB model specifies a series of steps that are required in the development of an intervention, which includes formative work to fully explore the types of information, motivation, and behavioral skills barriers and facilitators of behavior that are critical in the priority patient population. This approach places each of the IMB constructs in the cultural context in which a behavior must be negotiated and, subsequently, improved. We sought to develop a culturally tailored clinic-based intervention for Puerto Ricans with Type 2 diabetes (T2DM) receiving care at an urban outpatient clinic in the Hartford, CT area. To achieve this, we interviewed providers and conducted focus groups with patients to identify patients’ IMB model-based barriers to healthy eating and physical activity within the cultural and local beliefs and resources in the surrounding area.
Provider interviews
Investigators approached the clinic about the project as opposed to vice versa. Senior author JDF established a professional relationship with a clinic administrator (author SAW) who arranged initial meetings between the principal investigator (author CYO) and three providers caring for a large percentage of the Puerto Rican patients with diabetes. All three providers were contacted (i.e., a dietician and diabetes educator, physician, and lay health care paraprofessional) and invited to meet with CYO on an individual basis to discuss the scope of the diabetes problem within the local Puerto Rican community and current clinic efforts to ameliorate it. All agreed to an individual meeting, and CYO worked with each provider to schedule a convenient time to discuss these issues.
Each provider voiced concern about the high rates of diabetes, diabetes-related hospitalizations, complications, and mortality among their Puerto Rican patients. Providers attributed these outcomes to the Puerto Rican population’s widespread obesity problem, poor eating habits, physical inactivity, and a host of patient-specific barriers (e.g., low educational attainment, low incomes, depression, and chronic stress), cultural barriers (e.g., preoccupation with family needs and stressors, prioritizing family needs over one’s own health), and community barriers (e.g., minimal access to affordable healthy foods and safe places to be active) that interfere with diabetes self-care.
At the time of these initial meetings, Puerto Rican residents made up 33% of Hartford’s population [58], and approximately15% had diabetes [40]. Consistent with provider comments, in Connecticut, Hispanics with diabetes were twice as likely to be hospitalized, and, as a whole, had a 60% higher diabetes induced mortality rate compared to Whites with diabetes [8].
Next, author CYO met with each provider to solicit support for a culturally tailored clinic-based intervention, and get feedback on the IMB model-based barriers to diabetes self-care reported in the research literature. Each provider vocalized support for the intervention, viewing it as an important service and believed it would offer supplemental opportunities for tertiary prevention in the clinic. Providers also offered views on potential IMB model-based barriers to diabetes self-care occurring in the Puerto Rican patients they serve. This latter feedback was incorporated into both the design and content of the intervention.
Patient focus groups
In addition to detailed interviews and discussions with providers, we conducted focus groups with Puerto Rican patients with diabetes to understand their IMB model-based barriers to healthy eating and physical activity. A bilingual clinic staff member of Puerto Rican ethnicity approached patients in clinic waiting rooms or called patients listed on a diabetes class roster, and invited them to participate in a discussion about diabetes. Of the 25 patients who were approached or contacted by phone, 19 agreed to participate and were scheduled, and 14 participated (74% of those contacted). Discussions explored the relative influence of diabetes-related information, motivation, and behavioral skills on patients’ eating behaviors and physical activity levels. Additionally, we discussed aspects of the culturally tailored intervention that would be well matched or, alternatively, poorly matched, to the unmet needs and resources of Puerto Ricans with diabetes in this geographic area.
Focus group sessions were audiotaped and then reviewed using the method of analytic induction and comparative analysis [19] to find common patterns. Analytic induction involves scanning focus group data for themes or categories, developing a working scheme after examination of initial cases, and then modifying the scheme on the basis of subsequent cases [23]. Negative instances that do not fit the initial constructs are sought to expand, adapt, or restrict the original construct. Findings from patient focus group sessions revealed important diabetes self-care information, motivation, and behavioral skills deficits and reports of poor eating habits and physical inactivity among these patients.
Patient reports from these sessions supported a potential role for IMB model-based intervention content. Specifically, misinformation appeared common—such as adopting the belief that only foods with sugar must be restricted (not starchy foods common in the Puerto Rican diet in this region), and that diet modification without physical activity is enough to manage diabetes. In terms of motivation, patients felt challenged in maintaining consistent motivation towards and commitment to healthy eating and being physically active. Behavioral skills that appeared lacking included how to read food labels, manage portion sizes, and how to remain committed to behavior change across a range of situations. Even in these small groups, there was variability in terms of patient-specific cultural barriers and skills deficits, further supporting the need for culturally tailored strategies that target individual members within in an ethnic group.
INTERVENTION DEVELOPMENT
A collaborative working group of six investigators, eight clinic providers and four clinic staff members was created to develop, implement, and evaluate the culturally tailored clinic-based intervention. Investigators included two social/health psychologists and two clinical/health psychologists with expertise in designing and evaluating IMB model-based interventions, a nutrition scientist with expertise in Hispanic health, and a scientist with expertise in measurement and intervention evaluation. Clinic collaborators included an administrator and physician scientist with expertise in diabetes education intervention research, six dietician interns, and a registered dietician (RD) and certified diabetes educator (CDE) of Puerto Rican ethnicity. Clinic staff members included two CMAs and two research assistants, all of Puerto Rican ethnicity.
To form a starting place for developing the intervention, collaborators held a series of meetings to share their views on what appeared to be promising with respect to improving healthy eating and physical activity in their areas of expertise. Discussions following these presentations identified what IMB elements the intervention should target, and confirmed our belief that developing a culturally tailored intervention using the IMB model would be viable. For each intervention component defined by consensus, we outlined the necessary IMB model-based content to include in the cultural context of a Puerto Rican patient population, mapping provider interview and patient focus group findings onto each content area, and paying particular attention to linking each component to pre-specified behaviors and glycemic control.
Prior to these development meetings, author SCK had found that a brief, tailored, 90-min, single session IMB model-based intervention delivered by a desktop flip chart in a clinic setting effectively reduced HIV risk behaviors among patients receiving care for a sexually transmitted infection [29]. While recognizing HIV risk reduction behaviors and diabetes self-care behaviors are not synonymous, we wanted our diabetes intervention to be brief, integrated into a busy clinic setting, theoretically based on the IMB model, and individually tailored. This was our rationale for adopting the same intervention structure (i.e., a single 90-min individualized session), and using an illustrative desktop flipchart available in English and Spanish (Puerto Rican dialect) to promote two diabetes self-care behaviors (i.e., healthy eating and physical activity). A first draft of the flipchart and other intervention materials were presented to collaborating providers who made recommendations for changes to materials before final versions were processed. The intervention was then examined for clarity, continuity, and flow by conducting role-play mock demonstrations with research assistants as standardized patients.
INTERVENTION IMPLEMENTATION
Intervention training
The intervention was implemented by a trained, bilingual CMA of Puerto Rican ethnicity who had received ∼40 h of training in nutrition and physical activity, the IMB model, motivational interviewing (MI) [41], safety, ethics, and intervention activities from an RD and CDE of Puerto Rican ethnicity (author NC) and a social/health psychologist with expertise in health behavior change (author CYO). Training activities included didactic sessions, reading materials, videos, role playing, individual practice with feedback, with focusing on minimizing the use of complex medical terms, maximizing the use of simple, plain language, and confirming patient understanding through teach-to-goal educator–patient interactions [48]. The training objectives modeled the general lines of a successful protocol used in previous IMB model-based interventions [14]. Throughout the training, the CMA was given feedback and suggestions for improvement to ensure desired effectiveness criteria were met.
IMB model-based intervention components
The CMA used a flipchart to guide the session (see Table 1 for an overview of all content). The session began with a 5-min introduction, welcoming the patient; communicating the session goals, objectives, and assurances of confidentiality; learning the patient’s motives for attending the session, and providing positive reinforcement for his/her presence and participation.
Table 1.
Description | IMB Elements |
---|---|
Introduction | |
• Welcome the patient, and provide a brief introduction and timeline to the session. | Information |
Briefly Describe The Problem | |
• Begin with the diabetes prevalence among Puerto Ricans living in the local community. | Information |
• Explain what diabetes complications are and the importance of blood glucose control. | Information |
Provide Personal Feedback | |
• Review the patient’s risk for diabetes complications (see Fig. 1). | Motivation |
Describe the Cause of Diabetes Complications | |
• Explain the relationship between carbohydrate consumption and high blood glucose levels. | Information |
Provide Personal Feedback | |
• Provide personal feedback to increase patient awareness of his/her carbohydrate counting practices, “This best describes you…” section on the feedback report (see Fig. 1). | Motivation |
• Introduce two scaling questions to elicit a discussion about the patient’s perception of the importance of behavior change, and lead into a dialog about the reasons for change (see Fig. 2). | Motivation |
• The second scaling question documents the patient’s perceived self-efficacy and serves as an open discussion of the barriers and consequences of change (see Fig. 1). | Motivation |
• Encourage patient to think of ways to remove these barriers; support the patient in building self-efficacy (see Fig. 1). | Motivation and Behavioral Skills |
Nutritional Education | |
• Explain the three nutrients in foods (protein, fat, carbohydrates). | Information |
• Explain the association between carbohydrates and blood glucose control. | Information |
• Present a list of foods; have the patient identify foods with carbohydrates; review, and repeat. | Behavioral Skills |
• Explain carbohydrate counting. | Information |
Present Individualized Meal Plan | |
• Describe how many carbohydrates the patient should eat at each meal; discuss his/her recommended # of grams and # of choices, and the difference between grams and choices (see Fig. 2). | Information |
• Help patient identify culturally familiar foods consistent with his/her meal plan, emphasize the patient’s options, assist him/her in making choices; guide and create an environment for the patient to feel empowered (see Fig. 2). | Motivation and Behavioral Skills |
Nutrition Facts Labels | |
• Instruct on the three steps to reading carbohydrate content on food labels; have the patient practice three steps with culturally familiar foods, and using English and Spanish food labels | Behavioral Skills |
Serving Size and Portion Control | |
• Review the importance of eating the right serving size amounts of foods. | Information |
• Demonstrate portion control techniques; and have patient practice these techniques | |
○ Measuring cups and spoons | Behavioral Skills |
○ Plate method – filling plates, bowls, cups | Behavioral Skills |
○ Hand/fist method (e.g., palm of hand = 3 ounces of meat) | Behavioral Skills |
○ Visualizing objects (e.g., deck of cards = 3 ounces of meat) | Behavioral Skills |
Goal Setting (Carbohydrate Counting) | |
• Help patient develop a behavior change plan that includes a goal and action steps that require the patients to address ways to remove the barriers identified earlier. | Motivation |
• The motivation segment will conclude with a summary of the information gained in this section. | Information and Motivation |
Exercise Education | |
• Explain the association between physical inactivity and diabetes complications. | Information |
Provide Personal Feedback | |
• Present personal feedback to increase patient awareness of his/her physical activity levels. | Motivation |
• Introduce two scaling questions to elicit a discussion about the patient’s perception of the importance of behavior change, and lead into a dialog about the reasons for change. | Motivation |
• The second scaling question documents the patient’s perceived self-efficacy and serves as an open discussion of the barriers and consequences of change. | Motivation |
• Encourage patient to think of ways to remove these barriers; support the patient in building self-efficacy. | Motivation |
Exercise Education cont. | |
• Discuss the benefits of physical activity for individuals with diabetes. | Information and Motivation |
• Discuss the general benefits of physical activity. | Information and Motivation |
Lifestyle Activity | |
• Explain the benefits of adding additional speed and movement to everyday activities | Information and Motivation |
• Have the patient identify ways to increase his/her lifestyle activity | Behavioral Skills |
Goal Setting (Physical Activity) | |
• Help patient develop a behavior change plan that includes a goal and action steps that require the patients to address ways to remove the barriers identified earlier. | Motivation |
• The motivation segment will conclude with a summary of the information gained in this section. | Information and Motivation |
IMB Information, Motivation, Behavioral Skills
Information
The CMA then “localized” the seriousness of diabetes as a problem by presenting the local (city) and statewide prevalence rates of diabetes among Puerto Rican residents. In an effort to enhance basic diabetes knowledge (or information) the CMA asked questions to get a sense of the patient’s current understanding of diabetes (e.g., “What causes high blood sugars?”) and, when necessary, dispelled commonly held myths by providing the correct answer using plain language. To enhance diet- and exercise-specific information, the patient was taught what types of culturally familiar foods raise blood glucose levels; the importance of monitoring carbohydrate intake and controlling portion sizes throughout the day for glycemic control: how lifestyle activity (e.g., house or yard work, walking to the market) can replace traditional, regimented exercise; and the impact of performing these behaviors on glycemic control and, in turn, one’s risk for diabetes-related complications.
Motivation
The CMA used MI strategies to deliver tailored content and enhance the patient’s motivation to change [41]. Following the principles of MI, the CMA presented the patient’s personal risk for diabetes-related complications (see Fig. 1 for a sample tailored feedback report that contained critical data gathered prior to the session; e.g., patient-specific self-care activities, diabetes-related symptoms, weight, and glycemic control [HbA1c]), assessed the patient’s behavior change importance and confidence ratings; and helped the patient identify reasons to change, barriers to change, and set a realistic behavior change goal.
Throughout the intervention, the CMA asked simple open-ended questions to encourage exploration and decision-making on the part of the patient. The CMA also asked open-ended questions designed to help the patient identify, verbalize, and reinforce his/her positive attitudes and/or subjective normative support for healthy eating and being physically active.
The CMA used reflective listening to learn what has and has not helped the patient change his/her behavior in the past. An example of reflective listening to promote healthy eating was, “You are not quite sure you are ready to change the way you eat, but you are aware that your blood sugar has been high recently, and that your family is worried about your health.” A reflection such as this was used to identify and/or reinforce subjective normative support for eating better. Summaries, a form of reflective listening that reflects back what a patient said, were used to communicate interest in the patient, build rapport, and call attention to elements of the discussion that might serve to promote favorable attitudes towards behavior change. The CMA presented the summary, listed selected elements, and invited the patient to make corrections. An example of a reflective summary was, “Let me stop and summarize what we’ve just talked about. You are not sure that you want to be here today. You came because your wife wanted you to. At the same time, you’ve had some nagging thoughts of your own about your health, including your recent weight gain, chronic headaches, and blurry vision. Did I miss anything? I’m wondering what you make of these things.” The CMA then listened to the patient’s understanding of the problem. This understanding helped to identify and/or enhance the patient’s existing favorable attitudes and subjective normative support for healthy eating and being more physical activity.
The CMA used affirmations to acknowledge the patient’s strengths in areas of prior failure. For instance, a patient might have tried to adhere to dietary recommendations with limited success, and, as a result, developed unfavorable attitudes about doing so, resulting in low motivation to change. Affirmations were used to convince the patient that change was possible and he/she was capable of executing change. Example affirmations were: “You ate smaller portions at lunch for most days this past week. How were you able to do that?” “Every Sunday you walk to church with your granddaughter, and you’ve even done this when you don’t feel well and could easily drive your car. How are you able to do that?” and “You came in today. I’m not sure, but it seems like if you decide something is important enough, you are willing to make it happen.” Affirmations such as these were embedded throughout the session to promote favorable attitudes towards improving the patient’s diet and physical activity.
Finally, the CMA worked at each patient’s pace to maximize comprehension and retention of intervention content. This required that the CMA resist the temptation to assume everything the patient heard would be understood.
Behavioral skills
A critical intervention feature was the development and distribution of a culturally tailored meal plan booklet (see Fig. 2). Before the session, a dietician intern used patient height and weight to calculate caloric needs, establish recommended food servings in a single day, and distribute these values across three meals in the meal plan booklet. During the session, the CMA instructed the patient, and then had the patient “teach-back,” on how to select foods illustrated in the booklet that were consistent with these recommendations.
The CMA also instructed the patient on how to read food labels, monitor carbohydrates, control portion sizes throughout the day, and integrate lifestyle activity into his/her daily life. The patient practiced reading multiple food labels, including some that were culturally familiar, using “teach-back” to confirm understanding. The CMA presented a variety of portion control strategies (e.g., the plate method, using measuring cups), and had the patient practice each strategy with food models. Finally, the CMA provided suggestions on how to increase activity by adding speed or additional movement to the patient’s existing behaviors (e.g., housework, walking to the market). The session concluded by having the patient formulate two realistic diet and physical activity goals, and documenting these goals on the tailored feedback report.
Following the intervention, the CMA presented the patient with the tailored feedback report; a brochure of culturally familiar foods with recommended serving sizes; a set of measuring cups; and the culturally tailored meal plan booklet. The CMA gave the patient 0–3 handouts to further enhance motivation and behavioral skills for purchasing healthy foods, eating meals throughout the day, and doing affordable, physically safe activities.
Clinical effects
We conducted a pilot randomized controlled trial to test the intervention’s effectiveness on food label reading, adherence to diet recommendations, physical activity, and glycemic control (HbA1c) at 3 months [46]. Patients from an outpatient, primary care clinic at an urban hospital in the Hartford, CT area were recruited to participate. Eligibility criteria included: self-identified Puerto Rican ethnicity, age 18 years or older, and a diabetes diagnosis of T2DM for >1 year. Clinic staff members identified and contacted 182 eligible patients by phone; 25 patients were unavailable and 28 patients were not interested in participating. Of the remaining 129 patients who were scheduled to participate, 118 arrived at the clinic to complete the baseline assessment and were randomized to condition (i.e., 59 patients were assigned to the intervention group and 59 patients were assigned to the usual care control group). There were no baseline group differences between patients assigned to the intervention versus the usual care control group [46].
Intervention patients were on average 56.7 years old (SD = 10.1), 73% were female, 73% had less than a high school education, of which 51% had never attended high school, 56% were legally disabled and 39% were unemployed, 86% were Spanish speakers, and the average duration living in the U.S. was 25 years (SD = 14.2). Self-rated health was below average, M = 2.4 (SD = 1.6), duration of diabetes was on average 13.1 years (SD = 11.8), and the average HbA1c exceeded the recommended <7% for diabetes control (M = 7.8, SD = 1.4).
We used ANCOVA models for intent-to-treat analysis with last-observation carried forward. After adjusting for baseline differences on food label reading (Intervention: M = 2.30, SD = 1.31 vs. Control: M = 2.65, SD = 1.42), the intervention group (M = 3.33, SD = 0.14) was reading food labels more than the control group (M = 2.62, SD = 0.14) at 3 months post baseline (p < 0.001). After adjusting for baseline differences on adherence to diet recommendations (Intervention: M = 3.31, SD = 1.95 vs. Control: M = 3.63, SD = 2.08), the intervention group (M = 4.33, SD = 0.22) was adhering to diet recommendations more than the control group (M = 3.56, SD = 0.22) at 3 months post baseline (p < 0.01). There were no significant differences between the two groups on adjusted group means for physical activity and HbA1c. However, when using a per protocol approach (n = 91 per protocol; 77% of total randomized sample), after 3 months, the intervention group (n = 48 at follow-up assessment) achieved a statistically significant 0.48% absolute decrease in HbA1c and, compared to the usual care control group (n = 43 at follow-up assessment), achieved a non-significant trend of being more physical activity at 3 months [46].
Although not reported by Osborn et al. [46], intervention impact was strongest for individuals with uncontrolled diabetes at baseline (>7% HbA1c, n = 29). These patients experienced a 0.80% absolute reduction in HbA1c, which is closer to the clinically meaningful 1% HbA1c reduction associated with a 21% decreased risk of diabetes-related death, 14% decreased risk of myocardial infarction, and 37% decreased risk of microvascular complications [56], and supports tailoring interventions to individuals within otherwise difficult-to-treat populations.
These findings, while promising, are preliminary and should be confirmed in studies with larger samples.
Feasibility
Patients assigned to the intervention arm were scheduled to return within 5 days of the baseline assessment to complete the intervention session. Eleven patients “no showed” to this appointment, but were immediately called, rescheduled for another day, and arrived at their next appointment. Thus, all 59 patients attended the intervention session (100% response rate) within 1 month’s time, with an average time between baseline to intervention of 2.5 days (range: 1–7). Only four patients completed the session after the 5-day window). Patients had the option to receive the intervention in English or Spanish, and all preferred Spanish.
The costs to deliver the intervention included the cost of supplies (initial point-of-care HbA1c tests [∼$590], printing and binding [∼$160], food model kit [one time purchase ∼$350], plate method kit [one time purchase ∼$100], measuring cups [∼$300], food labels [free]: ∼$1,500), a CMA’s time (one-time 2-week training [∼$1,170] and 1 month for intervention delivery [∼$2,330]: ∼$3,500), and two dietitian interns’ time to calculate daily servings of food per patient (free). Excluding one-time purchases and the one-time CMA training, the cost per patient was ∼$57.12.
Clinic demands were twofold: (1) having clinic staff members who were already coordinating care for Puerto Rican diabetes patients facilitate patient buy-in and participation in the intervention, and (2) providing access to a single private space for intervention implementation. Clinic staff members of Puerto Rican ethnicity generated a list of eligible patients, contacted each patient by phone, and scheduled interested patients for an initial visit. At this visit, the clinic staff member introduced each patient to a research assistant, also of Puerto Rican ethnicity, who took the patient into a private unused conference room to complete informed consent procedures and baseline measures. Once completed, the research assistant, who was blinded to the allocation sequence in our trial, directed each patient to the CMA who was located in an unused office a few doors down from the conference room. There, the CMA thanked the patient for attending the initial visit, answered any questions, and scheduled intervention patients to return within 5 days to participate in the intervention session. The CMA delivered the intervention session in this same office, which had been previously used for diabetes education and nutrition counseling (i.e., the office layout, furniture, and patient education posters were on par with the intervention foci).
Acceptability
Clinic demands and handover procedures did not interrupt clinic flow, resulting in strong buy-in from administrators, providers, and other staff members who were often seen directing patients to the intervention room, and would frequently report back patients’ positive comments about the intervention experience. Anecdotally, physicians felt the intervention was an ideal resource for their Puerto Rican patients with diabetes who, more often than not, wanted in-depth, one-on-one education about diabetes that could not be achieved during a traditional primary care visit.
Based on the CMA’s intervention session notes, patients conveyed a strong interest in the Puerto Rican, culturally-specific aspects of the intervention, and were receptive to interactive activities embedded throughout the session, particularly meal planning using the Puerto Rican-specific meal plan booklet. Many patients provided positive feedback about the experience, and wanted to return for additional sessions. Some patients did in fact return, all unannounced, in an attempt to reconnect with the CMA and/or drop off candy and other foods they no longer wanted to eat.
Anecdotally, patients responded well to the CMA’s patient-centered approach, and were open and honest in sharing their difficulties with managing diabetes. Authors of this study (CYO and NC) remotely observed approximately 50% of the intervention sessions, and overheard patients vocalizing appreciation for the CMA’s ability to identify with Puerto Rican-specific barriers to healthy eating and physical activity, and communicate effectively. Thus, a combination of CMA notes and session observations suggests patients had a positive response to the intervention.
Lessons learned and recommendations
Our intervention materials went above and beyond translating content into Spanish, and presenting images of Hispanic individuals with diabetes. All intervention content had to be translated into both the appropriate language and dialect because, at the time this study was conducted, there were no publically available diabetes materials for Puerto Ricans who have a unique Spanish dialect, diet, and cultural beliefs, norms and values relative to other Hispanic subgroups (e.g., Mexican Americans) for which these materials have been made. Thus, we encourage diabetes interventions for Hispanics to account for subgroup-specific dialects, food practices, traditional dishes, and cultural norms in their content, materials, and images.
We identified significant improvements with a single contact intervention. However, as systematic reviews have shown (e.g., see [42]), interventions with regular reinforcements are often more effective than single session interventions or those with limited follow-up sessions. Given that diabetes is a chronic condition, ongoing support is important and the beauty of using the primary care setting is having regular contacts with patients across time [16, 17]. Participants seemed to be asking for this. Future research should explore ways to extend our IMB model-based intervention to support patients over time.
While Puerto Rican males have the highest rate of diabetes compared to both Puerto Rican females, and Mexican American and Cuban males and females [5], we were unable to recruit a substantial number of Puerto Rican males in the pilot randomized controlled trial. Recent evidence suggests Puerto Ricans are as willing or are more willing than non-Hispanic Whites to participate in research studies [31, 32]. However, to our knowledge, there is no evidence that Puerto Rican males are less willing than Puerto Rican females to participate in research studies. Additional research is needed to: (1) test whether Puerto Rican males and females differ in their willingness to participate in research studies, (2) identify what factors might explain an observed gender difference, and (3) identify efficacious strategies for increasing male participation.
We used a “carve-out” and “carve-in” approach to implement the intervention, respectively, hiring two research assistants and a CMA to deliver the intervention (i.e., “carve-out”), while also collaborating with a clinic administrator and physician scientist, six dietician interns based at the clinic, clinic RD/CDE, and an existing clinic-based CMA. Due to HIPPA regulations [26], all hired research personnel were required to become clinic employees. We did not anticipate this ahead of time, which delayed the baseline assessment and intervention implementation phases in our trial. For non-medical investigators incorporating a “carve-out” approach to test intervention effectiveness in clinic settings, we encourage planning ahead to ensure all study personnel and procedures adhere to both the healthcare organization’s institutional policies and HIPPA.
We hired a CMA from the community to become an employee of the clinic for the sole purpose of serving as the interventionist in this study [49]. However, we did not make intervention training available to other clinic employees. Future efforts should train permanent clinic staff members to implement interventions in the absence of staff members hired for research purposes.
INTERVENTION SUSTAINABILITY
It is important to mention, for reasons unrelated to the intervention itself, the clinic did not adopt the culturally tailored intervention after the trial. As is often the case, grant funding facilitated the development, implementation and evaluation of this intervention for research purposes, but precluded the financial sustainability of the intervention upon study end. In addition, the mobility of researchers, healthcare providers, and clinic administrators is another common issue impeding intervention adoption [1, 52]. In our case, the clinic administrator in support of the intervention (author SAW) changed jobs when the trial was getting underway; the RD/CDE of Puerto Rican ethnicity (author NC) who helped train the hired CMA and worked with author CYO throughout the trial moved out of state after the 3-month follow-up period; and while the intervention sparked local media attention, and subsequent interest from the Connecticut Health Department in having author CYO train health workers across the state to deliver the intervention to their Hispanic diabetes patients, CYO relocated out-of-state for a post-doctoral fellowship and was unable to train these health workers.
Lessons learned and recommendations
Reliance on a research grant to test the effectiveness of this culturally tailored intervention precluded financial resources to test clinic maintenance/sustainability and to cover the cost of implementing the intervention upon study end. Researchers largely propose efficacy and effectiveness trials deemed fundable by funding agencies. However, researchers should propose and funding agencies should support research studies that evaluate the reach, adoption, implementation, maintenance, and sustainability of efficacious interventions [20].
Both the primary clinic administrator and the primary clinic provider collaborating on the project relocated during the study, and the principal investigator relocated immediately after the study. The mobility of researchers, healthcare providers, and clinic administrators is a common issue precluding the ability to adopt an intervention into routine clinical care. Making intervention training materials available electronically can (1) overcome logistical barriers to training clinic staff to deliver the intervention in the absence of research-practice team members, and can even (2) provide an opportunity for staff members to periodically review and reinforce their initial training [34].
CONCLUSIONS
Here, we described a formative process, including interviews with providers, focus groups with patients and a series of multidisciplinary collaborative workshops to develop and implement a culturally tailored intervention in routine clinical care. Prior to implementation, we had a collaborative team of patients, providers, and behavioral scientists review all intervention materials to avoid presenting unclear medical terms, simplify language as necessary by using words and examples that make the information understandable [57]. We also had a health care paraprofessional from patients’ country of origin deliver all intervention content, which had been previously recommended by others working with this patient population [7, 28]. Educational materials and health messages were available in patients’ native language, and took into consideration cultural norms and values, and each patient’s level of comprehension and economic constraints. In addition, the intervention was collaborative, patient-centered, and interactive, and such interventions tend to produce more favorable results than interventions that are mainly didactic and authoritative [35, 42]. This might be because interactive, problem-solving approaches that teach practical skills improve patients’ acceptance and retention of desired behaviors. Finally, all content was based on an empirically validated model of health behavior change and tailored to the needs of each patient, which is more efficient to process [50], and more apt to lead to behavior change [13].
Based on findings from the pilot randomized controlled trial, the intervention yielded positive clinical effects. Intent-to-treat analyses provided additional support for the intervention’s effects on adherence to diet recommendations and food label reading previously reported with a per protocol approach [46]. Also not reported by Osborn et al. [46] was the finding that intervention impact on glycemic control was strongest for individuals with uncontrolled diabetes at baseline.
In terms of feasibility and acceptability, all patients invited to participate in the intervention did so within 1 month’s time, resulting in 100% attendance. Associated intervention costs were ∼ $57 per patient, and the clinic demands included providing access to a single private space for intervention implementation, and having clinic staff members who were already coordinating care for Puerto Rican diabetes patients facilitate patient buy-in and participation in the intervention. Clinic demands and handover procedures did not interrupt clinic flow. Anecdotally, physicians felt the intervention was an ideal resource for their Puerto Rican patients with diabetes, and a combination of CMA notes and session observations suggests patients had a positive response to the intervention.
To advance the development, implementation, and translation of culturally tailored interventions in routine clinical care, investigators should facilitate collaborative, equitable involvement of all partners in all phases of the research process [21]; understand the needs of the target population and the organization in which the intervention will be delivered [11]; plan for limited resources upon study end and barriers to translation at the outset [11]; and accrue evidence of effectiveness across populations and organizations [22]. If investigators can develop and evaluate interventions with greater attention to context and external validity and in partnership with relevant decision makers and stakeholders, it will be much easier for health care providers and policy makers to find value in an intervention’s utility [33] regardless of whether investigators and collaborating providers scientifically or physically relocate. Finally, to create a more relevant and useful science of dissemination, there needs to be an accumulation of literature on the lessons learned from other culturally tailored interventions.
Acknowledgments
We thank Demetria N. Cain, Luis Casillas, Andrew Dudley, Matt Dudley, Jill Irvine, Melissa Johnson, Beth La Pierre, Scott McCarthy, Erin Paice, Jane Quale, and Iliri Ibrahimi for their assistance in preparing intervention materials. Special thanks to Carmen Aponte, Chariunis Perez, and Rosemary Perez for study recruitment, and collecting and managing data; and Charlene Aponte for delivering the intervention. The study was supported by an American Psychological Association dissertation award and a pilot grant award from the Center for Health Intervention and Prevention at the University of Connecticut, Storrs, CT. Dr. Osborn conducted this research under an NIH/NIDDK National Research Service Award (F31 DK067022), and is currently supported by a NIH/NIDDK Career Development Award (K01 DK087894). Dr. Pérez-Escamilla’s contribution to this manuscript was partially supported by the Connecticut Center for Eliminating Health Disparities among Latinos with funding from the NIH/NCMHD (P20 MD001765). The authors have no conflict of interest.
Footnotes
Implications
Practice: Diabetes interventions for Hispanics must account for subgroup-specific dialects, food practices, traditional dishes, and cultural norms in their content, materials, and images.
Policy: Funding agencies should support research studies that evaluate the reach, adoption, implementation, maintenance, and sustainability of effective tailored interventions.
Research: Investigators should explore ways to adopt tailored interventions into routine clinical care, accrue evidence of effectiveness across populations and organizations, and report lessons learned from their experiences.
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