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106


PHYSICAL ACTIVITY AND PRO-HEALTH BEHAVIOR PROFILES IN DIABETES RISK AMONG BLACKS AND WHITES: A NOVEL MACHINE LEARNING ANALYSIS [Meeting Abstract]

Seixas, Azizi; Henclewood, Dwayne; Langford, Aisha T.; McFarlane, Samy; Jean-Louis, Girardin
ISI:000431185200654
ISSN: 0883-6612
CID: 3114032

CANCER SURVIVORS' FATALISTIC BELIEFS AND MENTAL HEALTH INDICATORS [Meeting Abstract]

Rabinowitz, Emily P.; Langford, Aisha T.
ISI:000431185200551
ISSN: 0883-6612
CID: 3114092

DO BELIEFS ABOUT THE CAUSES OF HIGH BLOOD PRESSURE PREDICT INTENTIONS TO CHANGE LIFESTYLE BEHAVIORS AMONG HINTS PARTICIPANTS? [Meeting Abstract]

Langford, Aisha T.; Solid, Craig; Seixas, Azizi
ISI:000431185200065
ISSN: 0883-6612
CID: 3114112

PROTECTIVE SLEEP AND PHYSICAL ACTIVITY PROFILES IN DIABETES RISK AMONG BLACKS AND WHITES IN THE UNITED STATES: A BAYESIAN BELIEF NETWORK MACHINE LEARNING MODEL OF NATIONAL HEALTH INTERVIEW SURVEY [Meeting Abstract]

Seixas, A.; Henclewood, D.; Langford, A.; McFarlane, S.; Zizi, F.; Jean-Louis, G.
ISI:000431183401078
ISSN: 1550-9109
CID: 3114172

NOVEL USES OF DECISION SUPPORT TOOLS FOR PATIENTS AND CLINICIANS: BLENDING HEALTH TECHNOLOGY AND HEALTH COMMUNICATION [Meeting Abstract]

Langford, Aisha T.; Moin, Tannaz; Byrne, Margaret M.; Studts, Jamie L.
ISI:000431185201236
ISSN: 0883-6612
CID: 3113942

SOCIODEMOGRAPHIC AND CLINICAL CORRELATES OF KEY OUTCOMES IN A MOBILE INSULIN TITRATION INTERVENTION FOR UNDERSERVED PATIENTS [Meeting Abstract]

Langford, Aisha T.; Hu, Lu; Wang, Binhuan; Orzeck-Byrnes, Natasha; Rogers, Erin; Levy, Natalie
ISI:000431185201212
ISSN: 0883-6612
CID: 3113962

DEVICE OWNERSHIP, HEALTH APP USE, AND INTEREST IN EHEALTH TECHNOLOGY: AN ANALYSIS OF US ADULTS IN HINTS WITH HIGH BLOOD PRESSURE [Meeting Abstract]

Langford, Aisha T.; Solid, Craig; Seixas, Azizi
ISI:000431185200682
ISSN: 0883-6612
CID: 3114022

Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study

Levy, Natalie Koch; Orzeck-Byrnes, Natasha A; Aidasani, Sneha R; Moloney, Dana N; Nguyen, Lisa H; Park, Agnes; Hu, Lu; Langford, Aisha T; Wang, Binhuan; Sevick, Mary Ann; Rogers, Erin S
BACKGROUND:The Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a New York City (NYC) safety-net clinic where patients often have challenges coming for in-person care. In 2016, MITI was implemented as usual care at Bellevue Hospital (the site of the original RCT) and at Gouverneur Health (a second NYC safety-net clinic) under 2 different staffing models. OBJECTIVE:This implementation study examined MITI's transition into real-world settings. To understand MITI's flexibility, generalizability, and acceptability among patients and providers, we evaluated whether MITI continued to produce positive outcomes in expanded underserved populations, outside of an RCT setting. METHODS:Patients enrolled in MITI received weekday text messages asking for their fasting blood glucose (FBG) values and a weekly titration call. The goal was for patients to reach their optimal insulin dose (OID), defined either as the dose of once-daily basal insulin required to achieve either an FBG of 80-130 mg/dL (4.4-7.2 mmol/L) or as the reaching of the maximum dose of 50 units. After 12 weeks, if OID was not reached, the patients were asked to return to the clinic for in-person care and titration. MITI program outcomes, clinical outcomes, process outcomes, and patient satisfaction were assessed. RESULTS:levels fell from 11.4% (101 mmol/mol) to 10.0% (86 mmol/mol), P<.001. Process outcomes show that 90.1% of MITI's text message prompts received a response, nurses connected with patients 81.9% of weeks to provide titration instructions, and 85% of attending physicians made at least one referral to the MITI program. Satisfaction surveys showed that most patients felt comfortable sharing information over text and felt the texts reminded them to take their insulin, check their sugar, and make healthy food choices. CONCLUSIONS:This implementation study showed MITI to have continued success after transitioning from an RCT program into real-world settings. MITI showed itself to be flexible and generalizable as it easily fits into a second site staffed by general medical clinic-registered nurses and remained acceptable to patients and staff who had high levels of engagement with the program.
PMCID:5881039
PMID: 29555621
ISSN: 1438-8871
CID: 3000252

Decision aid use during post-biopsy consultations for localized prostate cancer

Holmes-Rovner, Margaret; Srikanth, Akshay; Henry, Stephen G; Langford, Aisha; Rovner, David R; Fagerlin, Angela
BACKGROUND: Decision Aids (DAs) effectively translate medical evidence for patients but are not routinely used in clinical practice. Little is known about how DAs are used during patient-clinician encounters. OBJECTIVE: To characterize the content and communicative function of high-quality DAs during diagnostic clinic visits for prostate cancer. PARTICIPANTS: 252 men newly diagnosed with localized prostate cancer who had received a DA, 45 treating physicians at 4 US Veterans Administration urology clinics. METHODS: Qualitative analysis of transcribed audio recordings was used to inductively develop categories capturing content and function of all direct references to DAs (booklet talk). The presence or absence of any booklet talk per transcript was also calculated. RESULTS: Booklet talk occurred in 55% of transcripts. Content focused on surgical procedures (36%); treatment choice (22%); and clarifying risk classification (17%). The most common function of booklet talk was patient corroboration of physicians' explanations (42%), followed by either physician or patient acknowledgement that the patient had the booklet. Codes reflected the absence of DA use for shared decision-making. In regression analysis, predictors of booklet talk were fewer years of patient education (P = .027) and more time in the encounter (P = .027). Patient race, DA type, time reading the DA, physician informing quality and physician age did not predict booklet talk. CONCLUSIONS: Results show that good decision aids, systematically provided to patients, appeared to function not to open up deliberations about how to balance benefits and harms of competing treatments, but rather to allow patients to ask narrow technical questions about recommended treatments.
PMCID:5750733
PMID: 28881105
ISSN: 1369-7625
CID: 2688622

Variation in Prescription Drug Coverage for Triptans: Analysis of Insurance Formularies [Meeting Abstract]

Minen, Mia T; Lindberg, Kate; Langford, Aisha; Loder, Elizabeth
ISI:000410068300117
ISSN: 1468-2982
CID: 2713562