Jodi Summers Holtrop

Bridging Primary Care Practices and Communities to Promote Healthy Behaviors

BACKGROUND Primary care practices able to create linkages with community resources may be more successful at helping patients to make and sustain health behavior changes. METHODS Health behavior-change interventions in eight practice-based research networks were examined. Data were collected July 2005-October 2007. A comparative analysis of the data was conducted to identify and understand strategies used for linking primary care practices with community resources. RESULTS Intervention practices developed three strategies to initiate and/or implement linkages with community resources: pre-identified resource options, referral guides, and people external to the practice who offered support and connection to resources. To initiate linkages, practices required the capacity to identify patients, make referrals, and know area resources. Linkage implementation could still be defeated if resources were not available, accessible, affordable, and perceived as valuable. Linkages were facilitated by boundary-spanning strategies that compensated for the lack of infrastructure between practices and resources, and by brokering strategies that identified interested community partners and aided mutually beneficial connections with them. Linkages were stronger when they incorporated practice or resource abilities to motivate the patient, such as brief counseling or postreferral outreach. Further, data suggested that sustaining linkages requires continuous attention and ongoing communication between practices and resources. CONCLUSIONS Creating linkages between primary care practices and community resources has the potential to benefit both patients and clinicians and to lessen the burden on the U.S. healthcare system resulting from poor health behaviors. Infrastructure support and communication systems must be developed to foster sustainable linkages between practices and local resources.

Putting It Together: Finding Success in Behavior Change Through Integration of Services

PURPOSE The purpose of this analysis and commentary was to explore the rationale for an integrated approach, within and outside the office, to help patients pursue healthy behaviors. METHODS We examined the role of integration, building on (1) patterns observed in a limited qualitative evaluation of 17 Prescription for Health projects, (2) several national policy initiatives, and (3) selected research literature on behavior change. RESULTS The interventions evaluated in Prescription for Health not only identified unhealthy behaviors and advised change, but also enabled patients to access information at home, use self-help methods, obtain intensive counseling, and receive follow-up. Few practices can replicate such a model with the limited staff and resources available in their offices. Comprehensive assistance can be offered to patients, however, by integrating what is feasible in the office with additional services available through the community and information media. CONCLUSIONS Blending diverse clinical and community services into a cohesive system requires an infrastructure that fosters integration. Such a system provides the comprehensive model on which the quality of both health promotion and chronic illness care depend. Integrating clinical and community services is only the first step toward the ideal of a citizen-centered approach, in which diverse sectors within the community—health care among them—work together to help citizens sustain healthy behaviors. The integration required to fulfill this ideal faces logistical challenges but may be the best way for a fragmented health care system to fully serve its patients.

Pilot RCT results of stop my smoking USA: a text messaging-based smoking cessation program for young adults.

INTRODUCTION To address the lack of smoking cessation programs available to young adults, Stop My Smoking (SMS) USA, a text messaging-based smoking cessation program, was developed and pilot tested. METHODS This was a two-arm randomized controlled trial with adaptive randomization (arms were balanced by sex and smoking level [heavy vs. light]), conducted nationally in the United States. One hundred sixty-four 18- to 25-year-old daily smokers who were seriously thinking about quitting in the next 30 days were randomized to either (a) the 6-week SMS USA intervention (n = 101) or (b) an attention-matched control group aimed at improving sleep and physical activity (n = 63). The main outcome measure was 3-month continuous abstinence, verified by a significant other. Participants but not researchers were blinded to study arm allocation. RESULTS Based upon intent-to-treat analyses, intervention participants (39%) were significantly more likely than control participants (21%) to have quit at 4 weeks postquit (adjusted odds ratio [aOR] = 3.33, 95% confidence interval [CI]: 1.48, 7.45). Findings were not sustained at 3 months postquit, although rates in the SMS USA group were favored (40% vs. 30%, respectively; aOR = 1.59, 95% CI: 0.78, 3.21). Subsequent analyses suggested that among intervention participants, SMS USA might be more influential for youth not currently enrolled in a higher education (p = .06). CONCLUSIONS Consistent with pilot studies, the sample was underpowered. Data suggest, however, that the SMS USA program affects smoking cessation rates at 4 weeks postquit. More research is needed before conclusions can be made about long-term impact. Identifying profiles of users for whom the program may be particularly beneficial also will be important.

Practice-Based Referrals to a Tobacco Cessation Quit Line: Assessing the Impact of Comparative Feedback vs General Reminders

PURPOSE We undertook a study to assess the impact of comparative feedback vs general reminders on practice-based referrals to a tobacco cessation quit line and estimated costs for projected quit responses. METHODS We conducted a group-randomized clinical trial comparing the impact of 6 quarterly (18 months) feedback reports (intervention) with that of general reminders (control) on practice-based clinician referrals to a quit-line service. Feedback reports were based on an Achievable Benchmark of Care approach using baseline practice, clinician, and patient survey responses, and referrals per quarter. Comparable quit responses and costs were estimated. RESULTS Three hundred eight clinicians participated (171 family medicine, 88 internal medicine, 49 obstetrics-gynecology) from 87 primary care practices in Michigan. After 18 months, there were more referrals from the intervention than from the control practices (484 vs 220; P <.001). Practice facsimile (fax) referrals (84%, n = 595) exceeded telephone referrals (16%, n = 109), but telephone referrals resulted in greater likelihood of enrollment (77% telephone vs 44% fax, P <.001). The estimated number of smokers who quit based on the level of services utilized by referred smokers was 66 in the feedback and 36 in the gentle reminder practices. CONCLUSION Providing comparative feedback on clinician referrals to a quit-line service had a modest impact with limited increased costs.

Smoking during pregnancy and associated risk factors in a sample of Romanian women

BACKGROUND Smoking during pregnancy is one of the most modifiable risk factor for poor birth outcomes. This study assesses the prevalence and correlates of smoking during pregnancy. METHODS A questionnaire was applied to pregnant women in two urban clinics in Romania to assess smoking prevalence, attitudes and knowledge about smoking, and other risks poorly documented in Romania, such as depressive symptoms, stress and social support. The response rate was >80% and the valid sample comprised of 916 women. Descriptive statistics and logistic regressions were used to estimate the prevalence of smoking and other risk factors and to identify correlates of smoking during pregnancy. RESULTS Approximately 15% of the women continued smoking during pregnancy, and 26% of all women said they smoked prior to pregnancy, but quit upon finding out they were pregnant. Depressive symptoms and stress were not associated with smoking during pregnancy. Women with no social support had higher odds of continued smoking vs. non-smoking (OR = 2.3, P < 0.01), and vs. quitting (OR = 2.3, P < 0.05). Roma women had 5.2 times the odds (P < 0.01) of continued smoking vs. non-smoking. Lack of awareness about the benefits of quitting smoking and about the risks of smoking light cigarettes were associated with continued smoking during pregnancy. CONCLUSIONS Smoking was common in a sample of Romanian pregnant women. Smoking cessation programs in Romania should include components to raise the awareness about the risks of smoking during pregnancy and the benefits of quitting at any time during pregnancy. More targeted interventions are needed in Roma communities.

Predictors of smoking cessation and relapse after hospitalization for acute coronary syndrome

BACKGROUND A hospital admission for a serious cardiac event offers a unique opportunity for smoking cessation. Understanding the factors that predict and enhance cessation among smoking cardiac inpatients is important for hospital physicians and clinical staff. STUDY OBJECTIVE To determine factors that predict smoking cessation, relapse, or continued smoking among posthospitalized cardiac patients who were smoking at the time of admission. SAMPLE Patients hospitalized with acute coronary syndrome (ACS) were recruited from 5 hospitals in Michigan to participate in a study assessing hospital quality improvement plus at-home health behavior change counseling. MEASUREMENTS Patient interview data were collected shortly after discharge and 3 and 8 months later to describe patient demographics, clinical characteristics, tobacco use, and other behaviors. Multinomial logit regression was used to predict smoking cessation, relapse, and continued smoking. RESULTS Of patients smoking at hospitalization who completed both follow-up interviews, 56.8% (n = 111) were not smoking at 8 months. A significant predictor of successful cessation was higher household income (odds ratio [OR] = 4.72; P = 0.003), while having other smokers in the household decreased the odds of cessation (OR = 0.20; P = 0.001). History of depression increased the odds of relapse (OR = 6.38; P = 0.002) and being a lighter smoker decreased the odds (OR = 0.16; P = 0.026). CONCLUSIONS Although approximately one-half of the smokers in this study reported successful cessation, interventions are still needed to assist all smokers to successfully quit smoking after an ACS hospitalization. Our data suggest targeting follow-up programs to include other family members and using specialized methods for heavy smokers.

Common Measures, Better Outcomes (COMBO) A Field Test of Brief Health Behavior Measures in Primary Care

BACKGROUND Primary care offices have been characterized as underutilized settings for routinely addressing health behaviors that contribute to premature death and unnecessary suffering. Practical tools are needed to routinely assess multiple health risk behaviors among diverse primary care patients. The performance of a brief set of behavioral measures used in primary care practice is reported here. METHODS Between August 2005 and January 2007, 75 primary care practices assessed four health behaviors, using a 21-item patient self-report questionnaire for adults or a 16-item questionnaire for adolescents. Data were collected via telephone, paper, or electronic means, either with or without assistance. The performance of these measures was evaluated by describing risk-behavior prevalences, combinations of risk behaviors, and missing data. RESULTS Of 227 adolescents and 5358 adults, most patients completed all of the survey questions. Two or more unhealthy behaviors were reported by 47.1% of adolescents and 69.2% of adults. Percentages of adults who completed all the survey items varied by health behavior: tobacco use, 98.5%; diet, 98.2%; physical activity, 96.2%; alcohol use, 85.1%. Missing data rates were higher for unassisted patient self-reporting. CONCLUSIONS A relatively brief set of health behavior measures was usable in a variety of primary care settings with adults and adolescents. The performance of these measures was uneven across behaviors and administration modes, but yielded estimates of unhealthy behaviors consistent overall with what would be expected based on published population estimates. Further work is needed on measures for alcohol use and physical activity to bring practical assessment tools for key health behaviors to routine primary care practice.

Clinician perceptions of factors influencing referrals to a smoking cessation program

BackgroundReferral of patients to smoking cessation telephone counseling (i.e., quitline) is an underutilized resource by primary care physicians. Previously, we conducted a randomized trial to determine the effectiveness of benchmarked feedback on clinician referrals to a quitline. Subsequently, we sought to understand the successful practices used by the high-referring clinicians, and the perceptions of the barriers of referring patients to a quitline among both high and non-referring clinicians in the trial.MethodsWe conducted a qualitative sub-study with subjects from the randomized trial, comparing high- and non-referring clinicians. Structured interviews were conducted and two investigators employed a thematic analysis of the transcribed data. Themes and included categories were organized into a thematic framework to represent the main response sets.ResultsAs compared to non-referring clinicians, high-referring clinicians more often reported use of the quitline as a primary source of referral, an appreciation of the quitline as an additional resource, reduced barriers to use of the quitline referral process, and a greater personal motivation related to tobacco cessation. Time and competing demands were critical barriers to initiating smoking cessation treatment with patients for all clinicians. Clinicians reported that having one referral source, a referral coordinator, and reimbursement for tobacco counseling (as a billable code) would aid referral.ConclusionFurther research is needed to test the effectiveness of new approaches in improving the connection of patients with smoking cessation resources.Trial Registration NumberClinicaltrials.gov NCT00529256

Practice-Based Research in Primary Care: Facilitator of, or Barrier to, Practice Improvement?

PURPOSE In what ways is primary care practice-based research a facilitator of practice improvement vs a barrier to practice change? This article aims to alert investigators to the pitfalls they may face in undertaking the dual agenda of research and practice improvement. METHODS We derived examples of the relationship between the research and practice improvement goals of 17 Prescription for Health (P4H) grantees from verbal communications with the grantees, field notes from interviews and site visits, and entries made by grantees to an online diary managed by the P4H Analysis Team. RESULTS An analysis of key themes identified factors facilitating and impeding the dual goals of research and practice improvement. The requirements of conducting research mandated by institutional review boards, including patient enrollment and consent, often constituted barriers to practice improvement. The choice of practices in which to conduct research and improvement activities and the manner in which the practices are approached may affect the outcome of both research and practice improvement goals. Approaching practices with a time-limited project mentality can interfere with a process of permanent practice change. The RE-AIM construct (reach, efficacy/effectiveness, adoption, implementation, and maintenance) is useful in designing research interventions that facilitate practice improvement. CONCLUSIONS Projects that meld research studies and practice improvement goals must pay attention to the potential conflicts between research and practice change, and must attempt to design research studies so that they facilitate rather than inhibit practice improvement.

Steps in Tailoring a Text Messaging–Based Smoking Cessation Program for Young Adults

Steps to develop or refine text messaging–based interventions are largely missing from the literature. Here, the authors describe steps in refining Stop My Smoking USA, a text messaging–based smoking cessation program for smokers 18–25 years old. Research activities included the following: needs assessment focus groups (n = 35); a content advisory team to affirm message acceptability (n = 10); and two beta tests to confirm technological feasibility (n = 12 and 28, respectively). Various recruitment strategies were tested to identify the optimal methods to reach young adult smokers ready to quit. Each stage of the refinement process yielded new insights, resulting in improved message content and tone, an effective recruitment strategy, and the identification and subsequent resolution of technology challenges. Findings suggest that young adults prefer messages that provide concrete behavioral strategies to overcome cravings, and which are positive in tone. Craigslist was the most efficient recruitment method and yielded a sample that was racially and economically diverse. Despite a successful beta test of initial technological feasibility, extensive problems were subsequently experienced in a beta test of the technological feasibility of the entire program. Iterative program refinement and adaptation on the basis of user input is necessary to ensure salience, while extensive field testing is required to ensure proper functioning of technology-based programs.