Faculty Bibliography

In 2017, the NYU Clinical and Translational Science Institute's Recruitment and Retention Unit created a Patient Advisory Council for Research (PACR) to provide feedback on clinical trials and health research studies. We collaborated with our clinical research informatics team to generate a random sample of patients, based on the International Classification of Diseases, Tenth Revision codes and demographic factors, for invitation via the patient portal. This approach yielded in a group that was diverse with regard to age, race/ethnicity, sex, and health conditions. This report highlights the benefits and limitations of using an electronic health record-based strategy to identify and recruit members for a PACR.

Although there is a large amount of user-generated content about urological health issues on social media, much of this content has not been vetted for information accuracy. In this article, we review the literature on the quality and balance of information on urological health conditions on social networks. Across a wide range of benign and malignant urological conditions, studies show a substantial amount of commercial, biased and/or inaccurate information present on popular social networking sites. The healthcare community should take proactive steps to improve the quality of medical information on social networks. PATIENT SUMMARY: In this review, we examined the spread of misinformation about urological health conditions on social media. We found that a significant amount of the circulating information is commercial, biased or misinformative.

Data from the Health Information National Trends Survey (HINTS) show that the Internet is the first place people go to when they need information about health or medical topics. Searches for online health information have both benefits and challenges for patient-physician communication. To fully appreciate these issues, it is important to understand the following: (1) who is going online; (2) why are they going; (3) where are they going; (4) what needs are being met; and (5) how, if at all, do they discuss health information found online with their doctors. The objective of this mini-review is to highlight contemporary issues regarding the impact of the internet on patient-physician communication and to present directions for future research. PATIENT SUMMARY: The growing use of the Internet has implications for people seeking information on health matters. Our review shows that the Internet can be helpful for patient-physician communication, but this depends on the quality of health information found and whether the information is discussed during medical visits.

Despite the promise of clinical trials for improving cancer care, less than 5% of all cancer patients participate. Racial/ethnic minorities continue to be underrepresented in cancer clinical trials (CCTs). To address this gap, we developed a plain language, web-based decision support tool (CHOICES DST) in English and Spanish to support decision-making about CCTs among Blacks and Hispanics. In phase 1 (information collection), we conducted qualitative interviews with 45 cancer patients, completed a thorough literature review, and reviewed results from a telephone survey of 1100 cancer patients. In phase 2 (content generation), we created the first iteration of the CHOICES DST. In phase 3 (usability testing), we gathered user experience and acceptability data from a small sample of cancer survivors (n = 9). The Knowledge, Empowerment, and Values Clarification (KEV) model of decision-making was developed based on data from phase 1. The KEV model and other phase 1 data allowed us to create the CHOICES DST platform. Usability testing of the CHOICES DST showed highly favorable responses from users, satisfaction with content, ease of navigation, and a desire to use the tool. Qualitative results identified addressable points that would benefit from content and navigation-related alterations. The final version of the CHOICES DST was well received and understood by Black and Hispanic participants, and adheres to the mandates for plain language communication. This research provides preliminary data that CHOICES DST holds promise for improving knowledge of CCTs and potentially improving informed decision-making about participation in trials.

BACKGROUND:By 2035, it is expected that older adults (aged 65 years and older) will outnumber children and will represent 78 million people in the US population. As the aging population continues to grow, it is critical to reduce disparities in their representation in medical research. OBJECTIVE:This study aimed to describe sociodemographic characteristics and health and information behaviors as factors that influence US adults' interest in engaging in medical research, beyond participation as study subjects. METHODS:Nationally representative cross-sectional data from the 2014 Health Information National Trends Survey (N=3677) were analyzed. Descriptive statistics and weighted multivariable logistic regression analyses were performed to assess predictors of one's interest in patient engagement in medical research. The independent variables included age, general health, income, race and ethnicity, education level, insurance status, marital status, and health information behaviors. RESULTS:We examined the association between the independent variables and patient interest in engaging in medical research (PTEngage_Interested). Patient interest in engaging in medical research has a statistically significant association with age (adjusted P<.01). Younger adults (aged 18-34 years), lower middle-aged adults (aged 35-49 years), and higher middle-aged adults (aged 50-64 years) indicated interest at relatively the same frequency (29.08%, 29.56%, and 25.12%, respectively), but older adults (aged ≥65 years) expressed less interest (17.10%) than the other age groups. After the multivariate model was run, older adults (odds ratio 0.738, 95% CI 0.500-1.088) were found to be significantly less likely to be interested in engaging in medical research than adults aged 50 to 64 years. Regardless of age, the strongest correlation was found between interest in engaging in medical research and actively looking for health information (P<.001). Respondents who did not seek health information were significantly less likely than those who did seek health information to be interested in engaging in medical research. CONCLUSIONS:Patients' interest in engaging in medical research vary by age and information-seeking behaviors. As the aging population continues to grow, it is critical to reduce disparities in their representation in medical research. Interest in participatory research methods may reflect an opportunity for consumer health informatics technologies to improve the representation of older adults in future medical research.

Background Chronic psychological stress has been associated with hypertension, but few studies have examined this relationship in blacks. We examined the association between perceived stress levels assessed annually for up to 13 years and incident hypertension in the Jackson Heart Study, a community-based cohort of blacks. Methods and Results Analyses included 1829 participants without hypertension at baseline (Exam 1, 2000-2004). Incident hypertension was defined as blood pressure≥140/90 mm Hg or antihypertensive medication use at Exam 2 (2005-2008) or Exam 3 (2009-2012). Each follow-up interval at risk of hypertension was categorized as low, moderate, or high perceived stress based on the number of annual assessments between exams in which participants reported "a lot" or "extreme" stress over the previous year (low, 0 high stress ratings; moderate, 1 high stress rating; high, ≥2 high stress ratings). During follow-up (median, 7.0 years), hypertension incidence was 48.5%. Hypertension developed in 30.6% of intervals with low perceived stress, 34.6% of intervals with moderate perceived stress, and 38.2% of intervals with high perceived stress. Age-, sex-, and time-adjusted risk ratios (95% CI) associated with moderate and high perceived stress versus low perceived stress were 1.19 (1.04-1.37) and 1.37 (1.20-1.57), respectively (P trend<0.001). The association was present after adjustment for demographic, clinical, and behavioral factors and baseline stress (P trend=0.001). Conclusions In a community-based cohort of blacks, higher perceived stress over time was associated with an increased risk of developing hypertension. Evaluating stress levels over time and intervening when high perceived stress is persistent may reduce hypertension risk.

OBJECTIVE:Recent studies have suggested that prediabetes is associated with an increased risk for cardiovascular disease (CVD) only among individuals with concomitant hypertension. RESEARCH DESIGN AND METHODS/METHODS:between 5.7 and 6.4% (39 and 46 mmol/mol). Hypertension was defined as systolic/diastolic blood pressure ≥140/90 mmHg and/or self-reported antihypertensive medication use. Participants were followed for incident CVD events and all-cause mortality through 31 December 2014. RESULTS:Overall, 35% of JHS participants did not have prediabetes or hypertension, 18% had prediabetes alone, 22% had hypertension alone, and 25% had both prediabetes and hypertension. Compared with participants without either condition, the multivariable-adjusted hazard ratios for CVD events among participants with prediabetes alone, hypertension alone, and both prediabetes and hypertension were 0.86 (95% CI 0.51, 1.45), 2.09 (1.39, 3.14), and 1.93 (1.28, 2.90), respectively. Among participants with and without hypertension, there was no association between prediabetes and an increased risk for CVD (0.78 [0.46, 1.34] and 0.94 [0.70, 1.26], respectively). No association was present between prediabetes and all-cause mortality among participants with or without hypertension. CONCLUSIONS:Regardless of hypertension status, prediabetes was not associated with an increased risk for CVD or all-cause mortality in this cohort of black adults.

Background: Health equity can broadly be defined as giving people the opportunities and resources needed to maximize health regardless of socially determined circumstances. SDoH are economic and social conditions that lead to differences in health status. We practice medicine at a mission driven safety-net hospital and provide care to patients with uncontrolled type 2 IDDM. Understanding not only these patients' SDoH barriers, but also their preferences for assistance, is the first step in providing equitable help.
Method(s): We used surveys and interviews to learn about 3 themes: SDoH barriers that impacted the ability to care for one's diabetes, desirable service features of any assistance program, and the types of services patients feel are needed.
Result(s): We learned that 84% of patients had > 1 barrier to health care access, 54% were unable to pay for > 1 essential item when it was needed, 53% reported > 1 barrier in their built environment, 47% reported > 1 issue with health literacy, and 37% shared that they only saw or talked to someone that they cared about or felt close to < 2 times per week. In the process of defining SDoH barriers, we also learned about unhealthy behavior patterns: 69% of patients have inadequate fruit and vegetable consumption, 57% get no leisure-time physical activity, 48% sometimes or often miss a day of checking their blood sugar, 35% sometimes or often miss doses of their medications and 30% are unable to follow up with their doctor in the time frame they are given. Despite their obstacles, patients felt that they didn't need " help". While they did share preferences on desirable service features, they volunteered very little regarding desirable types of services. Their lack of suggestions on service features was a finding in and of itself, warranting further exploration. In the end, we gauged interest in currently available resources at our hospital and in NYC, as well as our team's ideas for potential new programs to tackle some of the unhealthy behavior patterns we learned about (see types of services below). The service features that were a priority for any assistance program were: doctor knows about the program (86%), cost (87%), program is in-person (83%), program sends reminders (74%), program is a group class (74%), program is close to home (70%). In terms of types of services, 70% of patients want to learn about Farmer's markets as a source to eat more produce, 65% want to use the pedometer program we are developing and up to 45% want to use Bellevue's new Diabetes Patient Navigator program for assistance with barriers to health care access, taking diabetes medications, and checking blood sugar.
Conclusion(s): Patients with uncontrolled type 2 IDDM at our safety-net hospital have significant SDoH barriers, multiple service feature preferences, and are interested in programs currently available and under development. Understanding patient preferences for assistance is a key step in creating solutions that provide equity for underserved patients in need

BACKGROUND:In 2016, a short message service text messaging intervention to titrate insulin in patients with uncontrolled type 2 diabetes was implemented at two health care facilities in New York City. OBJECTIVE:This study aimed to conduct a qualitative evaluation assessing barriers to and the facilitators of the implementation of the Mobile Insulin Titration Intervention (MITI) program into usual care. METHODS:We conducted in-depth interviews with 36 patients enrolled in the MITI program and the staff involved in MITI (n=19) in the two health care systems. Interviews were transcribed and iteratively coded by two study investigators, both inductively and deductively using a codebook guided by the Consolidated Framework for Implementation Research. RESULTS:Multiple facilitator themes emerged: (1) MITI had strong relative advantages to in-person titration, including its convenience and time-saving design, (2) the free cost of MITI was important to the patients, (3) MITI was easy to use and the patients were confident in their ability to use it, (4) MITI was compatible with the patients' home routines and clinic workflow, (5) the patients and staff perceived MITI to have value beyond insulin titration by reminding and motivating the patients to engage in healthy behaviors and providing a source of patient support, and (6) implementation in clinics was made easy by having a strong implementation climate, communication networks to spread information about MITI, and a strong program champion. The barriers identified included the following: (1) language limitations, (2) initial nurse concerns about the scope of practice changes required to deliver MITI, (3) initial provider knowledge gaps about the program, and (4) provider perceptions that MITI might not be appropriate for some patients (eg, older or not tech-savvy). There was also a theme that emerged during the patient and staff interviews of an unmet need for long-term additional diabetes management support among this population, specifically diet, nutrition, and exercise support. CONCLUSIONS:The patients and staff were overwhelmingly supportive of MITI and believed that it had many benefits and that it was compatible with the clinic workflow and patients' lives. Initial implementation efforts should address staff training and nurse concerns. Future research should explore options for integrating additional diabetes support for patients.