A community engagement training program for basic and translational cancer researchers

PURPOSE

There is an increasing awareness of the importance of patient engagement in cancer research, but many basic and translational researchers have never been trained to do so. To address this unmet need, a 1-year patient engagement training program for researchers was developed.

METHODS

Eleven researchers and eleven paired research advocates participated. This program, designed for virtual delivery, included 3 didactic modules focused on (1) Community Outreach and Engagement principles and methods, (2) Communication skills, and (3) Team Science. This was followed by longitudinal projects to be completed by the researcher/advocate pairs, including learning about the research project, and co-authoring abstracts, manuscripts and grant proposals. Monthly group meetings allowed pairs to share their experiences. The program culminated in the pairs creating and presenting oral abstracts for the University of Kansas Cancer Center's Annual Research Symposium.

RESULTS

All participants indicated that the modules had a positive impact on their ability to collaborate in research. Both researcher self-evaluations and patient advocate evaluations of their researcher partner showed an improvement in researcher communication competency. Results from the Patient Engagement in Research Scale showed that advocates were highly engaged. Within 1 year after program completion, participating pairs have completed four abstracts and 9 grant proposals.

CONCLUSION

The program will be modified based on participant feedback, and can be adapted for future cohorts if an increased number of sessions per month and shortened program duration are desired. The program's virtual format allows scalability across institutions to potentially benefit large cohorts of researchers.

Roadmap to engagement: Bringing patient partners into cancer research and beyond

The University of Kansas Cancer Center (KU Cancer Center) initiated an engagement program to leverage the lived experience of individuals and families with cancer. KU Cancer Center faculty, staff, and patient partners built an infrastructure to achieve a patient-designed, patient-led, and research-informed engagement program called Patient and Investigator Voices Organizing Together (PIVOT). This special communication offers an engagement roadmap that can be replicated, scaled, and adopted at other cancer centers and academic health systems. PIVOT demonstrates that collaboration among academic leaders, investigators, and people with a lived experience yields a patient-centered, vibrant environment that enriches the research enterprise.

Case example of a jail-based cancer prevention clinical trial: Social determinants of health framework, novel experimental design, and retention strategies to facilitate long-term follow-up of clinical trial participants

Clinical trials conducted with incarcerated populations are rare. We present a case example of one such jail-based cancer prevention clinical trial to demonstrate the importance of including a theory-driven approach to intervention framing, novel experimental designs to boost access to low-risk trials, and retention strategies for long-term follow-up of hard-to-reach populations. As such we offer a social determinant of health framework to ensure cancer prevention research is conducted through the lenses of health promotion and health equity. Deviations from the gold-standard randomized control design, transparent systematic allotment, and street-based outreach retention strategies contribute to the feasibility of conducting clinical trials in carceral settings and after people leave jail. Best practices presented can be used in design and conduct of future clinical trials with criminal legal system-involved populations.

Communicating risk and the landscape of cancer prevention - an exploratory study that examines perceptions of cancer-related genetic counseling and testing among African Americans and Latinos in the Midwest

African American (AA) and Latino populations are impacted disproportionately by cancer incidence and mortality compared to the general US population. Contributing to these rates are multiple inheritable cancers that impact both men and women. Some of these diseases may be detected through genetic counseling and germline DNA testing; however, AA and Latinos are unaware and have limited knowledge and thus significantly underutilize these services and technologies. Research to detect influencing factors to testing uptake has also been slow due to multiple factors. The research team followed a community-based participatory research (CBPR) approach and worked with a Community Advisory Board composed of cancer survivors and co-survivors to design the exploratory study. Six focus groups were held with a pilot sample of African Americans and Latinos who self-reported to be at-risk for cancer (N = 53). The study was held over a 2-month period where attitudes, perceptions, and beliefs about cancer risk and preference regarding cancer-related genetic counseling and testing risk communication were explored. Themes that emerged included (1) the lack of knowledge about cancer-related genetic counseling and testing; (2) cancer is feared often; (3) cancer-related genetic testing was perceived as something that could help but was also perceived as unnecessary testing that exposed individuals to medical harm; and (4) benefits to test were perceived as favorable for medical personnel but not for the patient. Implications of the study provide a unique lens to explore how lived experiences among AA and Latinos may inform strategic risk communication about cancer-related genetic counseling and testing and help advance cancer health equity. Participants viewed cancer genetic testing as important cancer risk prevention strategies. Identification of perceptions of cancer risk and cancer-related genetic counseling and testing in collaboration with members of the community is needed to bolster communication efforts among these populations.

Cross-sectional online survey of clinicians' knowledge, attitudes and challenges to screening and counselling adolescents and young adults for substance use

OBJECTIVE

To examine adolescent healthcare clinicians' self-reported screening practices as well as their knowledge, attitudes, comfort level and challenges with screening and counselling adolescents and young adults (AYA) for cigarette, e-cigarette, alcohol, marijuana, hookah and blunt use.

DESIGN

A 2016 cross-sectional survey.

SETTING

Academic departments and community-based internal medicine, family medicine and paediatrics practices.

PARTICIPANTS

Adolescent healthcare clinicians (N=771) from 12 US medical schools and respondents to national surveys. Of the participants, 36% indicated male, 64% female, mean age was 44 years (SD=12.3); 12.3% of participants identified as Asian, 73.7% as white, 4.8% as black, 4.2% as Hispanic and 3.8% as other.

PRIMARY AND SECONDARY OUTCOME MEASURES

Survey items queried clinicians about knowledge, attitudes, comfort level, self-efficacy and challenges with screening and counselling AYA patients about marijuana, blunts, cigarettes, e-cigarettes, hookah and alcohol.

RESULTS

Participants were asked what percentage of their 10-17 years old patients they screened for substance use. The median number of physicians reported screening 100% of their patients for cigarette (1st, 3rd quartiles; 80, 100) and alcohol use (75, 100) and 99.5% for marijuana use (50,100); for e-cigarettes, participants reported screening half of their patients and 0.0% (0, 50), (0, 75)) reported screening for hookah and blunts, respectively. On average (median), clinicians estimated that 15.0% of all 10-17 years old patients smoked cigarettes, 10.0% used e-cigarettes, 20.0% used marijuana, 25.0% drank alcohol and 5.0% used hookah or blunts, respectively; yet they estimated lower than national rates of use of each product for their own patients. Clinicians reported greater comfort discussing cigarettes and alcohol with patients and less comfort discussing e-cigarettes, hookah, marijuana and blunts.

CONCLUSIONS

This study identified low rates of screening and counselling AYA patients for use of e-cigarettes, hookahs and blunts by adolescent healthcare clinicians and points to potential missed opportunities to improve prevention efforts.

A secondary analysis of PAIN-CONTRoLS: Pain's impact on sleep, fatigue, and activities of daily living

INTRODUCTION/AIMS

Peripheral neuropathies commonly affect quality of life of patients due to pain, sleep disturbances, and fatigue, although trials have not adequately explored these domains of care. The aim of this study was to assess the impact of nortriptyline, duloxetine, pregabalin, and mexiletine on pain, sleep, and fatigue in patients diagnosed with cryptogenic sensory polyneuropathy (CSPN).

METHODS

We implemented a Bayesian adaptive design to perform a 12-wk multisite, randomized, prospective, open-label comparative effectiveness study in 402 CSPN patients. Participants received either nortriptyline (n = 134), duloxetine (n = 126), pregabalin (n = 73), or mexiletine (n = 69). At prespecified analysis timepoints, secondary outcomes, Patient Reported Outcomes Measurement Information System (PROMIS) surveys including Short Form (SF)-12, pain interference, fatigue, and sleep disturbance, were collected.

RESULTS

Mexiletine had the highest quit rate (58%) due to gastrointestinal side effects, while nortriptyline (38%) and duloxetine (38%) had the lowest quit rates. If tolerated for the full 12 wk of the study, mexiletine had the highest probability (>90%) of positive outcomes for improvements in pain interference and fatigue. There was no significant difference among the medications for sleep disturbance or SF-12 scores. Adverse events and lack of efficacy were the two most common reasons for cessation of therapy.

DISCUSSION

Physicians caring for patients with CSPN should consider mexiletine to address pain and fatigue, although nortriptyline and duloxetine are better medications to trial first since they are better tolerated. Future research should compare other commonly used medications for CSPN to determine evidence-based treatment strategies.

A Roadmap to Patient Engagement: Facioscapulohumeral Muscular Dystrophy and the ReSolve Clinical Trial

We describe our efforts to overcome barriers to patient engagement in facioscapulohumeral muscular dystrophy (FSHD) and offer a roadmap that can be replicated in other rare neurologic disorders. We implemented an engagement plan during Clinical Trial Readiness to Solve Barriers to Drug Development for FSHD (ReSolve), an 18-month, multisite, observational study of individuals with FSHD. Elements of our engagement plan included conducting focus groups during protocol development, patient involvement on the ReSolve external advisory committee, creation of a patient advisory committee, and collaboration with patient advocacy groups. Patient feedback led to adaptations in the study protocol and to changes in recruitment and retention methods. Patient engagement ensures that the patient voice contributes to multiple aspects of trial design and implementation. Our engagement efforts exemplify how collaboration with patients and families can be accomplished in FSHD and the resultant roadmap process may be replicable in other rare neurologic diseases.

Patient Assisted Intervention for Neuropathy: Comparison of Treatment in Real Life Situations (PAIN-CONTRoLS): Bayesian Adaptive Comparative Effectiveness Randomized Trial

Importance

Cryptogenic sensory polyneuropathy (CSPN) is a common generalized slowly progressive neuropathy, second in prevalence only to diabetic neuropathy. Most patients with CSPN have significant pain. Many medications have been tried for pain reduction in CSPN, including antiepileptics, antidepressants, and sodium channel blockers. There are no comparative studies that identify the most effective medication for pain reduction in CSPN.

Objective

To determine which medication (pregabalin, duloxetine, nortriptyline, or mexiletine) is most effective for reducing neuropathic pain and best tolerated in patients with CSPN.

Design, Setting, and Participants

From December 1, 2014, through October 20, 2017, a bayesian adaptive, open-label randomized clinical comparative effectiveness study of pain in 402 participants with CSPN was conducted at 40 neurology care clinics. The trial included response adaptive randomization. Participants were patients with CSPN who were 30 years or older, with a pain score of 4 or greater on a numerical rating scale (range, 0-10, with higher scores indicating a higher level of pain). Participant allocation to 1 of 4 drug groups used the utility function and treatment's sample size for response adaptation randomization. At each interim analysis, a decision was made to continue enrolling (up to 400 participants) or stop the whole trial for success (80% power). Patient engagement was maintained throughout the trial, which helped guide the study and identify ways to communicate and disseminate information. Analysis was performed from December 11, 2015, to January 19, 2018.

Interventions

Participants were randomized to receive nortriptyline (n = 134), duloxetine (n = 126), pregabalin (n = 73), or mexiletine (n = 69).

Main Outcomes and Measures

The primary outcome was a utility function that was a composite of the efficacy (participant reported pain reduction of ≥50% from baseline to week 12) and quit (participants who discontinued medication) rates.

Results

Among the 402 participants (213 men [53.0%]; mean [SD] age, 60.1 [13.4] years; 343 White [85.3%]), the utility function of nortriptyline was 0.81 (95% bayesian credible interval [CrI], 0.69-0.93; 34 of 134 [25.4%] efficacious; and 51 of 134 [38.1%] quit), of duloxetine was 0.80 (95% CrI, 0.68-0.92; 29 of 126 [23.0%] efficacious; and 47 of 126 [37.3%] quit), pregabalin was 0.69 (95% CrI, 0.55-0.84; 11 of 73 [15.1%] efficacious; and 31 of 73 [42.5%] quit), and mexiletine was 0.58 (95% CrI, 0.42-0.75; 14 of 69 [20.3%] efficacious; and 40 of 69 [58.0%] quit). The probability each medication yielded the highest utility was 0.52 for nortriptyline, 0.43 for duloxetine, 0.05 for pregabalin, and 0.00 for mexiletine.

Conclusions and Relevance

This study found that, although there was no clearly superior medication, nortriptyline and duloxetine outperformed pregabalin and mexiletine when pain reduction and undesirable adverse effects are combined to a single end point.

Trial Registration

ClinicalTrials.gov Identifier: NCT02260388.

Perceived barriers to the adoption of active surveillance in low-risk prostate cancer: a qualitative analysis of community and academic urologists

BACKGROUND

Clinical practice guidelines recommend active surveillance as the preferred treatment option for low-risk prostate cancer, but only a minority of eligible men receive active surveillance, and practice variation is substantial. The aim of this study is to describe barriers to urologists' recommendation of active surveillance in low-risk prostate cancer and explore variation of barriers by setting.

METHODS

We conducted semi-structured interviews among 22 practicing urologists, evenly distributed between academic and community practice. We coded barriers to active surveillance according to a conceptual model of determinants of treatment quality to identify potential opportunities for intervention.

RESULTS

Community and academic urologists were generally in agreement on factors influencing active surveillance. Urologists perceived patient-level factors to have the greatest influence on recommendations, particularly tumor pathology, patient age, and judgements about the patient's ability to adhere to follow-up protocols. They also noted cross-cutting clinical barriers, including concerns about the adequacy of biopsy samples, inconsistent protocols to guide active surveillance, and side effects of biopsy procedures. Urologists had differing opinions on the impact of environmental factors, such as financial disincentives and fear of litigation.

CONCLUSIONS

Despite national and international recommendations, both academic and community urologists note a variety of barriers to implementing active surveillance in low risk prostate cancer. These barriers will need to be specifically addressed in efforts to help urologists offer active surveillance more consistently.

Non-cancer clinical trials start-up metrics at an academic medical center: Implications for advancing research

The primary goal for any clinical trial after it receives a funding notification is to receive regulatory approval and initiate the trial for recruitment. Every trial must go through documentation and regulatory process before it can start recruiting participants and collecting data; this initial process of review and approval is known as the study start-up process (SSU). We evaluated the average time taken for studies to receive approvals. Using data from clinical trials conducted at the University of Kansas Medical Center, various times to reach the start of the study were calculated based on the dates of individual study. The results of this analysis showed that chart review studies and investigator-initiated trials had a shorter time to activation than other types of studies. Additionally, single-center studies had a shorter activation time than multi-center studies. The analysis also demonstrated that the overall processing time consistently had been reduced over time.

•

The 2018 year’s trend shows reduced time to study start.

•

SSU process for non-cancer trial on an average requires four to six months.

•

The activation time of the SSU process varied for different study types and scopes.

Effect of Behavioral Therapy With In-Clinic or Telephone Group Visits vs In-Clinic Individual Visits on Weight Loss Among Patients With Obesity in Rural Clinical Practice: A Randomized Clinical Trial

IMPORTANCE

Rural populations have a higher prevalence of obesity and poor access to weight loss programs. Effective models for treating obesity in rural clinical practice are needed.

OBJECTIVE

To compare the Medicare Intensive Behavioral Therapy for Obesity fee-for-service model with 2 alternatives: in-clinic group visits based on a patient-centered medical home model and telephone-based group visits based on a disease management model.

DESIGN, SETTING, AND PARTICIPANTS

Cluster randomized trial conducted in 36 primary care practices in the rural Midwestern US. Inclusion criteria included age 20 to 75 years and body mass index of 30 to 45. Participants were enrolled from February 2016 to October 2017. Final follow-up occurred in December 2019.

INTERVENTIONS

All participants received a lifestyle intervention focused on diet, physical activity, and behavior change strategies. In the fee-for-service intervention (n = 473), practice-employed clinicians provided 15-minute in-clinic individual visits at a frequency similar to that reimbursed by Medicare (weekly for 1 month, biweekly for 5 months, and monthly thereafter). In the in-clinic group intervention (n = 468), practice-employed clinicians delivered group visits that were weekly for 3 months, biweekly for 3 months, and monthly thereafter. In the telephone group intervention (n = 466), patients received the same intervention as the in-clinic group intervention, but sessions were delivered remotely via conference calls by centralized staff.

MAIN OUTCOMES AND MEASURES

The primary outcome was weight change at 24 months. A minimum clinically important difference was defined as 2.75 kg.

RESULTS

Among 1407 participants (mean age, 54.7 [SD, 11.8] years; baseline body mass index, 36.7 [SD, 4.0]; 1081 [77%] women), 1220 (87%) completed the trial. Mean weight loss at 24 months was -4.4 kg (95% CI, -5.5 to -3.4 kg) in the in-clinic group intervention, -3.9 kg (95% CI, -5.0 to -2.9 kg) in the telephone group intervention, and -2.6 kg (95% CI, -3.6 to -1.5 kg) in the in-clinic individual intervention. Compared with the in-clinic individual intervention, the mean difference in weight change was -1.9 kg (97.5% CI, -3.5 to -0.2 kg; P = .01) for the in-clinic group intervention and -1.4 kg (97.5% CI, -3.0 to 0.3 kg; P = .06) for the telephone group intervention.

CONCLUSIONS AND RELEVANCE

Among patients with obesity in rural primary care clinics, in-clinic group visits but not telephone-based group visits, compared with in-clinic individual visits, resulted in statistically significantly greater weight loss at 24 months. However, the differences were small in magnitude and of uncertain clinical importance.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02456636.

Electronic cigarette use and psychological distress in the Native Hawaiian and Pacific Islander adults compared with other racial/ethnic groups: Data from the National Health Interview Survey, 2014

Document the prevalence of electronic cigarette (E-cigarette) use among the native Hawaiian and other Pacific Islander (NHPI) adults compared with other racial/ethnic groups, and examine associations between psychological distress and E-cigarette use. 2014 National Health Interview Survey (NHIS) and 2014 NHPI-NHIS were combined for comparisons. Data were analyzed using descriptive statistics, Rao-Scott χ² test, and multivariable logistic regression. E-cigarette use among NHPI (5.6%) was significantly higher than among Blacks (2.1%), Hispanics (2.2%), and Asians (1.7%; p < .001). NHPI with Kessler 6 (K6) score of 11-24 had greater odds of using E-cigarettes (odds ratio [OR]: 3.90; 95% confidence intervals [CI]: 1.81-8.42) as compared to those with a K6 score of 0. Associations between having a K6 score of 11-24 and using E-cigarettes were also found for Whites (OR: 3.49; CI: 2.44-4.99), Asians (OR: 5.29; CI: 1.29-21.70), and Hispanics (OR: 6.14; CI: 2.72-13.83). E-cigarette use was higher among NHPI relative to other racial/ethnic groups. NHPI with K6 score of 11-24 had greater odds of using E-cigarettes as compared to those with a K6 score of 0. Policies and strategies to reduce E-cigarette use among NHPI should give careful consideration to the associations between E-cigarette use and psychological distress in the NHPI population.

Characterizing health researcher barriers to sharing results with study participants

INTRODUCTION

Research participants want to receive results from studies in which they participate. However, health researchers rarely share the results of their studies beyond scientific publication. Little is known about the barriers researchers face in returning study results to participants.

METHODS

Using a mixed-methods design, health researchers (N = 414) from more than 40 US universities were asked about barriers to providing results to participants. Respondents were recruited from universities with Clinical and Translational Science Award programs and Prevention Research Centers.

RESULTS

Respondents reported the percent of their research where they experienced each of the four barriers to disseminating results to participants: logistical/methodological, financial, systems, and regulatory. A fifth barrier, investigator capacity, emerged from data analysis. Training for research faculty and staff, promotion and tenure incentives, and funding agencies supporting dissemination of results to participants were solutions offered to overcoming barriers.

CONCLUSIONS

Study findings add to literature on research dissemination by documenting health researchers' perceived barriers to sharing study results with participants. Implications for policy and practice suggest that additional resources and training could help reduce dissemination barriers and increase the return of results to participants.

Measuring quality and outcomes of research collaborations: An integrative review

INTRODUCTION

Although the science of team science is no longer a new field, the measurement of team science and its standardization remain in relatively early stages of development. To describe the current state of team science assessment, we conducted an integrative review of measures of research collaboration quality and outcomes.

METHODS

Collaboration measures were identified using both a literature review based on specific keywords and an environmental scan. Raters abstracted details about the measures using a standard tool. Measures related to collaborations with clinical care, education, and program delivery were excluded from this review.

RESULTS

We identified 44 measures of research collaboration quality, which included 35 measures with reliability and some form of statistical validity reported. Most scales focused on group dynamics. We identified 89 measures of research collaboration outcomes; 16 had reliability and 15 had a validity statistic. Outcome measures often only included simple counts of products; publications rarely defined how counts were delimited, obtained, or assessed for reliability. Most measures were tested in only one venue.

CONCLUSIONS

Although models of collaboration have been developed, in general, strong, reliable, and valid measurements of such collaborations have not been conducted or accepted into practice. This limitation makes it difficult to compare the characteristics and impacts of research teams across studies or to identify the most important areas for intervention. To advance the science of team science, we provide recommendations regarding the development and psychometric testing of measures of collaboration quality and outcomes that can be replicated and broadly applied across studies.

Health researchers' experiences, perceptions and barriers related to sharing study results with participants

BACKGROUND

Although research participants are generally interested in receiving results from studies in which they participate, health researchers rarely communicate study findings to participants. The present study was designed to provide opportunity for a broad group of health researchers to describe their experiences and concerns related to sharing results (i.e. aggregate study findings) with research participants.

METHODS

We used a mixed-methods concurrent triangulation design, relying on an online survey to capture health researchers' experiences, perceptions and barriers related to sharing study results with participants. Respondents were health researchers who conduct research that includes the consent of human subjects and hold a current appointment at an accredited academic medical institution within the United States. For quantitative data, the analytic strategy focused on item-level descriptive analyses. For the qualitative data, analyses focused on a priori themes and emergent subthemes.

RESULTS

Respondents were 414 researchers from 44 academic medical institutions; 64.5% reported that results should always be shared with participants, yet 60.8% of respondents could identify studies in which they had a leadership role where results were not shared. Emergent subthemes from researchers' reasons why results should be shared included participant ownership of findings and benefits of results sharing to science. Reasons for not sharing included concerns related to participants' health literacy and participants' lack of desire for results. Across all respondents who described barriers to results sharing, the majority described logistical barriers.

CONCLUSIONS

Study findings contribute to the literature by documenting researchers' perspectives and experiences about sharing results with research participants, which can inform efforts to improve results sharing. Most respondents indicated that health research results should always be shared with participants, although the extent to which many respondents described barriers to results sharing as well as reported reasons not to share results suggests difficulties with a one-size-fits-all approach to improving results sharing.

Effect of 2 Clinical Decision Support Strategies on Chronic Kidney Disease Outcomes in Primary Care: A Cluster Randomized Trial

IMPORTANCE

Information is needed about optimal strategies to improve evidence-based treatment of chronic kidney disease (CKD) in primary care.

OBJECTIVE

To determine whether a multimodal intervention delays annualized loss of estimated glomerular filtration rate (eGFR) in stages 3 and 4 CKD.

DESIGN, SETTING, AND PARTICIPANTS

This pragmatic cluster randomized clinical trial enrolled 42 primary care practices located in nonhospital settings with electronic health record systems. Practices were recruited through the American Academy of Family Physicians National Research Network. The study was conducted January 2013 through January 2016.

INTERVENTIONS

Practices were randomized at the organization level to either the clinical decision support (CDS) plus practice facilitation (PF) group (n = 25) or CDS group (n = 17) using covariate constrained randomization. Both groups received point-of-care CDS to prompt screening, diagnosis, and treatment of CKD; the intervention group also received PF based on the 9-point TRANSLATE model (target, use point-of-care reminder systems, get administrative buy-in, network information systems using registries, site coordination, local physician champion, audit and feedback, team approach, and education).

MAIN OUTCOMES AND MEASURES

The primary outcome measure was eGFR over time. Secondary outcome measures were systolic blood pressure over time, change in hemoglobin A1c (HbA1c) over time, avoidance of nonsteroidal anti-inflammatory medications, use of angiotensin converting enzyme inhibitor or angiotensin-renin blocker medication, early recognition and diagnosis of CKD, blood pressure control, and smoking cessation.

RESULTS

In this cluster randomized trial of 30 primary care practices comprising 6699 patients, there were 1685 patients in the control group (10 practices) and 5014 patients in the intervention group (20 practices). The final sample of practices differed from the original set of randomized practices owing to dropout. Patients in the practices were similar at baseline for age (mean [SD], 71.3 [9.6] years), sex (2716 male [40.5%]), and eGFR. There was a significant difference in eGFR slopes for patients in the intervention vs control group practices. The mean (SE) annualized loss of eGFR was 0.95 (0.19) in the control group in propensity-adjusted longitudinal analyses and 0.01 (0.12) in the intervention group (mean [SE] difference in slopes, 0.93 [0.23]; P < .001). Among patients with HbA1c measures, slopes differed significantly for patients in intervention vs control practices, with a mean (SE) annualized increase of 0.14 (0.03) in HbA1c for patients in control practices and a mean (SE) decline of 0.009 (0.02) for patients in intervention practices. There was a significant difference in HbA1c slopes for patients in the intervention compared with control group practices (control vs intervention, -0.14; P < .001), but no difference in the other secondary outcomes.

CONCLUSIONS AND RELEVANCE

A multimodal intervention in primary care, based on the TRANSLATE model, slowed annualized loss of eGFR. This study had several important strengths, weaknesses, and lessons learned regarding the implementation of pragmatic interventions in primary care to improve CKD outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01767883.

Patient Factors That Influence How Physicians Discuss Active Surveillance With Low-Risk Prostate Cancer Patients: A Qualitative Study

For men diagnosed with prostate cancer, making treatment decisions can be overwhelming. Navigating treatment options, along with potential treatment side effects, can be difficult, and patients often rely heavily on the advice of their physicians. This study was aimed at understanding more about the way urologists talk with their patients about one treatment option: active surveillance (AS), a recognized management strategy for men with low-risk prostate cancer that includes close observation and monitoring of the cancer. This study reports, through 22 interviews with urologists, that urologists believe patients are hesitant about AS for a number of reasons, including misperceptions about cancer severity, anxiety, aversion to repeated biopsies that accompany AS, or family member preferences. Because urologists play an influential role in educating patients about treatment options, the discussion around AS can be impacted by barriers that physicians believe matter for their patients. Improving awareness among urologists about what factors impact their patient education about low-risk prostate cancer is important. Identifying tools to improve shared decision making in this area could result in treatment decisions that are increasingly concordant with patients' values, concerns, and goals.

Using health information technology to engage communities in health, education, and research

The August 2011 Clinical and Translational Science Awards conference "Using IT to Improve Community Health: How Health Care Reform Supports Innovation" convened four "Think Tank" sessions. Thirty individuals, representing various perspectives on community engagement, attended the "Health information technology (HIT) as a resource to improve community health and education" session, which focused on using HIT to improve patient health, education, and research involvement. Participants discussed a range of topics using a semistructured format. This article describes themes and lessons that emerged from that session, with a particular focus on using HIT to engage communities to improve health and reduce health disparities in populations.

Sources of health information in a multiethnic, underserved, urban community: does ethnicity matter?

The Latino population is the fastest growing minority in the country, and is expected to reach about 30% of the total U.S. population by 2050. Historically, primary care practitioners are not the preferred source of health information for Latinos living in the United States. Latinos are known to rely more on media, family, and friends to get answers to health-related questions. Choosing the appropriate information source is an important component of health information-seeking behavior; it also represents a major challenge for health communicators trying to deliver information to their target audience. This study explores how ethnicity influences health information source selection among Latinos and White non-Latinos living together in an underserved, multiethnic urban community with poor health status and underlying socioeconomic characteristics. The results suggest that this community manifests a high degree of homogeneity in their usage of health information sources. Nevertheless, there are significant differences between ethnic groups and age groups on perceived usefulness of the health information retrieved from common sources. Our results suggest that health information sources that are interactive, native to the community (e.g., the local pharmacist), and promote active engagement are the most useful in delivering health messages that will be listened to by those living in this underserved, multiethnic urban community.

Demographic and financial characteristics of school districts with low and high à la Carte sales in rural Kansas Public Schools

Reducing à la carte items in schools-foods and beverages sold outside the reimbursable meals program-can have important implications for childhood obesity. However, schools are reluctant to reduce à la carte offerings because of the impact these changes could have on revenue. Some foodservice programs operate with limited à la carte sales, but little is known about these programs. This secondary data analysis compared rural and urban/suburban school districts with low and high à la carte sales. Foodservice financial records (2007-2008) were obtained from the Kansas State Department of Education for all public K-12 school districts (n=302). χ² and t tests were used to examine the independent association of variables to à la carte sales. A multivariate model was then constructed of the factors most strongly associated with low à la carte sales. In rural districts with low à la carte sales, lunch prices and participation were higher, lunch costs and à la carte quality were lower, and fewer free/reduced price lunches were served compared to rural districts with high à la carte sales. Lunch price (odds ratio=1.2; 95% confidence interval, 1.1 to 1.4) and free/reduced price lunch participation (odds ratio=3.0; 95% confidence interval, 1.0 to 9.8) remained in the multivariate model predicting low à la carte sales. No differences were found between urban/suburban districts with low and high à la carte sales. Findings highlight important factors to maintaining low à la carte sales. Schools should consider raising lunch prices and increasing meal participation rates as two potential strategies for reducing the sale of à la carte items without compromising foodservice revenue.

Discussing weight with obese primary care patients: physician and patient perceptions

OBJECTIVE

To evaluate patient-provider agreement on whether weight and related behaviors were discussed during routine visits.

DESIGN

Post-visit survey assessments of patients and providers.

PARTICIPANTS

Obese patients make up the majority of all patients seen in primary care (PC). The patients and physicians were recruited at the time of PC visits.

MEASUREMENTS AND MAIN RESULTS

Percent patient-physician agreement and patient, provider and practice characteristics associated with agreement. Patients (456) and physicians (30) agreed about whether or not they discussed weight, physical activity (PA), and diet for 61% of office visits. There was disagreement on one of the items (weight, PA, or diet) for 23% of office visits, and for 2 or more of the items for 16% of the visits. Agreement was relatively greater for discussing weight than for discussing diet or physical activity. Physicians reported discussing weight issues more often than did patients. Overall patient-physician agreement was 0.51-0.59 (weighted Kappa statistic). In a multivariate analyses of factors associated with patient-physician agreement, health insurance (odds ratio [OR]=3.67, p value = 0.002), physician description of patient weight status (OR = 2.27, p value = 0.002), patient report of how weight relates to health (OR = 1.70, p value = 0.04), and female patient gender (OR = 1.62, p = value = 0.02) were significantly related to agreement.

CONCLUSIONS

Patients and providers disagreed about whether or not weight issues were discussed in a large number of primary care encounters in this study. Physicians may be able to improve care for their obese patients by focusing discussions on specific details of diet and physical activity behaviors, and by clarifying that patients perceive weight-related information has been shared.

Ecologic correlates of obesity in rural obese adults

OBJECTIVE

We examined relationships of individual and environmental factors with obesity and trying to lose weight in rural residents.

METHODS

The joint contributions of individual and environmental factors on obesity status (obese vs. morbidly obese) and trying to lose weight (yes vs. no) were evaluated using generalized estimating equations. Patients at 29 clinics in rural areas (N = 414, M age 55.0 years (SD = 15.4), 66.3% female) completed anthropometric assessments of weight and height along with survey assessments of individual sociodemographics and trying to lose weight. Rural environments were assessed on aggregated physician access, and sociodemographic context.

RESULTS

Most participants (70%, M BMI = 38.3) were obese and 30% morbidly obese. A majority (73%, n = 302) of the sample was trying to lose weight. Compared to obese, morbidly obese participants were more likely to be younger, disproportionately female, not have private insurance, have more comorbid conditions, and rate themselves in worse health in comparison to their obese peers. Compared to not trying to lose weight, trying to lose weight participants were more likely to be younger, disproportionately female, have fewer comorbid conditions, and have attempted to lose weight more times through exercise. Few relationships were seen between environmental variables and obesity or trying to lose weight.

CONCLUSIONS

There was no consistent pattern of relationships between environment factors and obesity or trying to lose weight was seen. Unique aspects of rural living may not be captured by traditionally available neighborhood measures.

Who's enrolled in the State Children's Health Insurance Program (SCHIP)? An overview of findings from the Child Health Insurance Research Initiative (CHIRI)

BACKGROUND

The State Children's Health Insurance Program (SCHIP) was enacted in 1997 to provide health insurance coverage to uninsured low-income children from families who earned too much to be eligible for Medicaid.

OBJECTIVES

To develop a "baseline" portrait of SCHIP enrollees in 5 states (Alabama, Florida, Kansas, Indiana, and New York) by examining: 1) SCHIP enrollees' demographic characteristics and health care experiences before enrolling in SCHIP, particularly children with special health care needs (CSHCN), racial and ethnic minority children, and adolescents; 2) the quality of the care adolescents received before enrollment; and 3) the changes in enrollee characteristics as programs evolve and mature.

METHODS

Each of 5 projects from the Child Health Insurance Research Initiative (CHIRI) surveyed new SCHIP enrollees as identified by state enrollment data. CHIRI investigators developed the CHIRI common core (a set of survey items from validated instruments), which were largely incorporated into each survey. Bivariate and multivariate analyses were conducted to ascertain whether there were racial and ethnic disparities in access to health care and differences between CSHCN and those without. Current Population Survey data for New York State were used to identify secular trends in enrollee characteristics.

RESULTS

Most SCHIP enrollees (65% in Florida to 79% in New York) resided in families with incomes < or =150% of the federal poverty level. Almost half of SCHIP enrollees lived in single-parent households. A majority of SCHIP parents had not had education beyond high school, and in 2 states (Alabama and New York) approximately 25% had not completed high school. The vast majority of children lived in households with a working adult, and in a substantial proportion of households both parents worked. Children tended to be either insured for the entire 12 months or uninsured the entire 12 months before enrolling in SCHIP. Private insurance was the predominant form of insurance before enrollment in SCHIP in most states, but 23.3% to 51.2% of insured children had Medicaid as their most recent insurance. HEALTH CARE USE AND UNMET NEEDS BEFORE SCHIP: The vast majority of all SCHIP enrollees had a usual source of care (USC) during the year before SCHIP. The proportion of children who changed their USC after enrolling in SCHIP ranged from 29% to 41.3%. A large proportion of SCHIP enrollees used health services during the year before SCHIP, with some variability across states in the use of health care. Nevertheless, 32% to almost 50% of children reported unmet needs. CSHCN: The prevalence of CSHCN in SCHIP (between 17% and 25%) in the study states was higher than the prevalence of CSHCN reported in the general population in those states. In many respects, CSHCN were similar to children without special health care needs, but CSHCN had poorer health status, were more likely to have had unmet needs, and were more likely to use the emergency department, mental health care, specialty care, and acute care in the year before enrolling in SCHIP than children without special health care needs. RACE AND ETHNICITY: A substantial proportion of SCHIP enrollees were black non-Hispanic or Hispanic children (Alabama: 34% and <1%; Florida: 6% and 26%; Kansas: 12% and 15%; and New York: 31% and 45%, respectively). Minority children were poorer, in poorer health, and less likely to have had a USC or private insurance before enrolling in SCHIP. The prevalence and magnitude of the disparities varied among the states. QUALITY OF CARE FOR ADOLESCENTS: Seventy-three percent of adolescent SCHIP enrollees engaged in one or more risk behaviors (ie, feeling sad or blue; alcohol, tobacco, and drug use; having sexual intercourse; and not wearing seat belts). Although almost 70% of adolescents reported having had a preventive care visit the previous year, a majority of them did not receive counseling in each of 4 counseling areas. Controlling for other factors, having a private, confidential visit with the physician was associated with an increased liked likelihood (2-3 times more likely) that the adolescent received counseling for 3 of 4 counseling areas. TRENDS OVER TIME: New York SCHIP enrollees in 2001, compared with 1994 enrollees in New York's SCHIP-precursor child health insurance program, were more likely to be black or Hispanic, older, from New York City, and from families with lower education, income, and employment levels. A greater proportion of 2001 enrollees was uninsured for some time in the year before enrollment, was insured by Medicaid, and lacked a USC. Secular trends in the low-income population in the state did not seem to be responsible for these differences. Program modifications during this time period that may be related to the shift in enrollee characteristics include changes to benefits, outreach and marketing efforts, changes in the premium structure, and the advent of a single application form for multiple public programs.

CONCLUSIONS

SCHIP enrollees are a diverse group, and there was considerable variation among the 5 study states. Overall, SCHIP enrollees had substantial and wide-ranging health care needs despite high levels of prior contact with the health care system. A sizable minority of SCHIP enrollees has special health care needs. There is racial and ethnic diversity in the composition of enrollees as well, with racial and ethnic disparities present. The quality of care adolescents received before enrollment in SCHIP was suboptimal, with many reporting unmet health care needs and not receiving recommended counseling. The characteristics of SCHIP enrollees can be expected to change as SCHIP programs evolve and mature.

POLICY IMPLICATIONS

1) Benefits should be structured to meet the needs of SCHIP enrollees, which are comparable to Medicaid enrollees' needs in many respects. 2) Provider networks will have to be broad if continuity of care is to be achieved. 3) Multiple outreach strategies should be used, including using providers to distribute information about SCHIP. 4) The quality of care delivered to vulnerable populations (eg, minority children, CSHCN, and adolescents) should be monitored. 5) States and health plans should actively promote quality health care with the goal of improving the care received by SCHIP enrollees before enrollment. 6) States will have to craft policies that fit their local context. 7) Collecting baseline information on SCHIP enrollees on a continuous basis is important, because enrollee characteristics and needs can change, and many vulnerable children are enrolling in SCHIP.

The role of race and ethnicity in the State Children's Health Insurance Program (SCHIP) in four states: are there baseline disparities, and what do they mean for SCHIP?

BACKGROUND

Elimination of racial and ethnic disparities in health has become a major national goal. The State Children's Health Insurance Program (SCHIP) has the potential to reduce disparities among the children who enroll if they exhibit the same disparities that have been documented in previous studies of low-income children. To determine the potential impact of SCHIP on racial and ethnic disparities, it is critical to assess baseline levels of health disparities among children enrolling in SCHIP.

OBJECTIVE

To use data from the Child Health Insurance Research Initiative (CHIRI) to 1) describe the sociodemographic profile of new enrollees in SCHIP in Alabama, Florida, Kansas, and New York; 2) determine if there were differences in health insurance and health care experiences among white, black, and Hispanic SCHIP enrollees before enrollment in SCHIP; and 3) explore whether race or ethnicity, controlled for other factors, affected pre-SCHIP access to health coverage and health care.

SETTING

SCHIP programs in Alabama, Florida, Kansas, and New York, which together include 26% of SCHIP enrollees nationwide.

DESIGN

Telephone interview (mailed survey in Alabama) about the child's health, health insurance, and health care experiences conducted shortly after SCHIP enrollment to assess experience during the time period before SCHIP.

SAMPLE

New SCHIP enrollees (0-17.9 years old in Alabama, Kansas, and New York and 11.5-17.9 years old in Florida). Stratified sampling was performed in Kansas and New York, with results weighted to reflect statewide populations of new SCHIP enrollees.

MEASURES

Sociodemographic characteristics including income, education, employment, and other characteristics of the child and the family, race and ethnicity (white non-Hispanic, black non-Hispanic, and Hispanic [any race]), prior health insurance, health care access and utilization, and health status.

ANALYSES

Bivariate analyses were used to compare baseline measures upon enrollment for white, black, and Hispanic SCHIP enrollees. Multivariate analyses were performed to assess health status and health care access measures (prior insurance, presence of a usual source of care (USC), and use of preventive care), controlling for demographic factors described above. Weighted analyses (where appropriate) were performed by using SPSS, STATA, or SUDAAN.

RESULTS

Racial and ethnic composition varied across the SCHIP cohorts studied, with black and Hispanic children comprising the following proportion of enrollees, respectively: Alabama, 33% and <1%; Florida, 16% and 26%; Kansas, 12% and 15%; and New York, 24% and 36%. Black and Hispanic children were more likely to reside in single-parent and lower-income families. With some variation by state, children from minority groups were more likely to report poorer health status than were white children. Relative to white children, children from minority groups in Florida and New York were more likely to have been uninsured for the entire year before SCHIP enrollment. In all states, children from minority groups who had prior coverage were more likely to have previously been enrolled in Medicaid than in private health insurance and were less likely to have had employer-sponsored coverage compared with white children. Except in Alabama, there was a difference in having a USC, with children from minority groups less likely to have had a USC before SCHIP enrollment compared with white children. No consistent pattern of health care utilization before SCHIP was noted across states with respect to race or ethnicity. Findings from multivariate analyses, controlling for sociodemographic factors, generally confirmed that black and Hispanic children were more likely to have lacked insurance or a USC before enrollment in SCHIP and to have poorer health status compared with white children.

CONCLUSIONS

SCHIP is enrolling substantial numbers of racial and ethnic minority children. There are baseline racial and ethnic disparities among new enrollees in SCHIP, with black and Hispanic children faring worse than white children on many sociodemographic and health system measures, and there are differences among states in the prevalence and magnitude of these disparities. After controlling for sociodemographic factors, these disparities persisted. IMPLICATIONS FOR MONITORING AND IMPROVING SCHIP: SCHIP has the potential to play a critical role in efforts to eliminate racial and ethnic disparities in health among the children it serves. However, study findings indicate that programmatic efforts are necessary to ensure that disparities are not perpetuated. Program effectiveness and outcomes should be monitored by race and ethnicity to ensure equity in access, use, and outcomes across all racial and ethnic groups. Assessing the health characteristics and needs of new SCHIP enrollees can provide a benchmark for evaluating the program's impact on eliminating racial and ethnic disparities in health and inform service delivery enhancements.