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Levy NK, Park A, Solis D, Hu L, Langford AT, Wang B, Rogers ES. Social Determinants of Health and Diabetes-Related Distress in Patients with Insulin-Dependent Type 2 Diabetes: A Cross-Sectional, Mixed Methods Approach (Preprint). JMIR Form Res 2022; 6:e40164. [PMID: 36222807 PMCID: PMC9607916 DOI: 10.2196/40164] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/02/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background Social determinants of health (SDOH) refer to the social, economic, and psychosocial conditions that influence health. Lower levels of SDOH factors including income, education, and employment are associated with a higher prevalence of diabetes, poorer glycemic control, and increased diabetes-related mortality. Few studies have conducted a comprehensive evaluation of multiple SDOH factors in a population with type 2 diabetes mellitus (T2DM). Objective This study aimed to identify the range of SDOH challenges—including diabetes-related distress—that impact patients with insulin-dependent diabetes at an urban safety-net clinic using the 5-domain SDOH framework developed by the Healthy People 2020 initiative. Methods The pilot study used a cross-sectional, mixed methods approach. Participants were recruited from 3 programs within a general internal medicine clinic that provides ambulatory care for patients with uncontrolled T2DM. We administered an investigator-developed SDOH survey based on the Healthy People 2020 framework and the validated Diabetes Distress Scale (DDS), which assesses 4 domains of diabetes-related distress. One-on-one interviews were conducted to gain in-depth information about challenges. Results In total, 57 participants had an average hemoglobin A1c level of 11.0% (SD 2.6%). Overall, 92% (52/57) of participants had a barrier in at least one SDOH domain. SDOH challenges were most commonly reported in the domain of Health and Health Care (84%, 48/57), followed by Economic Stability (54%, n=31), Neighborhood and Built Environment (53%, n=30), Education and Health Literacy (47%, n=27), and Social and Community context (37%, n=21). The mean overall DDS score was 2.09 (SD 0.84), where scores of ≥2 indicate distress. Further, 79% (45/57) of participants had at least moderate diabetes-related distress in one of the 4 DDS domains. General themes that emerged from participant interviews included job interference with healthy behaviors, concerns about burdening others, challenges communicating with providers, and difficulty getting appointments in a timely manner. Conclusions We found high levels of SDOH barriers across all 5 domains of the Center for Disease Control and Prevention’s Healthy People 2020 framework, including significant levels of diabetes-related distress. Future programs to address SDOH barriers in patients with uncontrolled insulin-dependent diabetes should consider screening for and focusing on a wide range of challenges.
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Affiliation(s)
- Natalie K Levy
- Department of Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Agnes Park
- Department of Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Daniela Solis
- Department of Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Lu Hu
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Aisha T Langford
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Binhuan Wang
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Erin S Rogers
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
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Gore R, Brown A, Wong G, Sherman S, Schwartz M, Islam N. Integrating Community Health Workers into Safety-Net Primary Care for Diabetes Prevention: Qualitative Analysis of Clinicians' Perspectives. J Gen Intern Med 2020; 35:1199-1210. [PMID: 31848857 PMCID: PMC7174477 DOI: 10.1007/s11606-019-05581-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 10/07/2019] [Accepted: 11/25/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Evidence shows community health workers (CHWs) can effectively deliver proven behavior-change strategies to prevent type 2 diabetes mellitus (diabetes) and enhance preventive care efforts in primary care for minority and low-income populations. However, operational details to integrate CHWs into primary care practice remain less well known. OBJECTIVE To examine clinicians' perceptions about working with CHWs for diabetes prevention in safety-net primary care. SETTING Clinicians are primary care physicians and nurses at two New York City safety-net hospitals participating in CHORD (Community Health Outreach to Reduce Diabetes). CHORD is a cluster-randomized trial testing a CHW intervention to prevent diabetes. DESIGN Guided by the Consolidated Framework for Implementation Research, we studied how features of the CHW model and organizational context of the primary care practices influenced clinicians' perspectives about the acceptability, appropriateness, and feasibility of a diabetes-prevention CHW program. Data were collected pre-intervention using semi-structured interviews (n = 18) and a 20-item survey (n = 54). APPROACH Both survey and interview questions covered clinicians' perspectives on diabetes prevention, attitudes and beliefs about CHWs' role, expectations in working with CHWs, and use of clinic- and community-based diabetes- prevention resources. Survey responses were descriptively analyzed. Interviews were coded using a mix of deductive and inductive approaches for thematic analysis. KEY RESULTS Eighty-seven percent of survey respondents agreed CHWs could help in preventing diabetes; 83% reported interest in working with CHWs. Ninety-one percent were aware of clinic-based prevention resources; only 11% were aware of community resources. Clinicians supported CHWs' cultural competency and neighborhood reach, but expressed concerns about the adequacy of CHWs' training; public and professional emphasis on diabetes treatment over prevention; and added workload and communication with CHWs. CONCLUSIONS Clinicians found CHWs appropriate for diabetes prevention in safety-net settings. However, disseminating high-quality evidence about CHWs' effectiveness and operations is needed to overcome concerns about integrating CHWs in primary care.
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Affiliation(s)
- Radhika Gore
- NYU School of Medicine, New York, NY, 10016, USA.
| | - Ariel Brown
- Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Garseng Wong
- NYU School of Medicine, New York, NY, 10016, USA
| | - Scott Sherman
- NYU School of Medicine, New York, NY, 10016, USA.,VA NY Harbor Health Care System, New York, NY, USA
| | - Mark Schwartz
- NYU School of Medicine, New York, NY, 10016, USA.,VA NY Harbor Health Care System, New York, NY, USA
| | - Nadia Islam
- NYU School of Medicine, New York, NY, 10016, USA
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Levy NK, Orzeck-Byrnes NA, Aidasani SR, Moloney DN, Nguyen LH, Park A, Hu L, Langford AT, Wang B, Sevick MA, Rogers ES. Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study. J Med Internet Res 2018; 20:e93. [PMID: 29555621 PMCID: PMC5881039 DOI: 10.2196/jmir.9515] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 01/25/2018] [Accepted: 02/12/2018] [Indexed: 12/25/2022] Open
Abstract
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 MITI was successful at both sites, each with a different staffing model. Providers referred 170 patients to the program—129 of whom (75.9%, 129/170) were eligible. Of these, 113 (87.6%, 113/129) enrolled. Moreover, 84.1% (95/113) of patients reached their OID, and they did so in an average of 24 days. Clinical outcomes show that mean FBG levels fell from 209 mg/dL (11.6 mmol/L) to 141 mg/dL (7.8 mmol/L), P<.001. HbA1c 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.
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Affiliation(s)
- Natalie Koch Levy
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Natasha A Orzeck-Byrnes
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Sneha R Aidasani
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Dana N Moloney
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Lisa H Nguyen
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Agnes Park
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
| | - Lu Hu
- Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Aisha T Langford
- Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Binhuan Wang
- Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Mary Ann Sevick
- Department of Population Health, New York University School of Medicine, New York, NY, United States
| | - Erin S Rogers
- Department of Population Health, New York University School of Medicine, New York, NY, United States
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Kruse CS, Krowski N, Rodriguez B, Tran L, Vela J, Brooks M. Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ Open 2017; 7:e016242. [PMID: 28775188 PMCID: PMC5629741 DOI: 10.1136/bmjopen-2017-016242] [Citation(s) in RCA: 613] [Impact Index Per Article: 87.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND The use of telehealth steadily increases as it has become a viable modality to patient care. Early adopters attempt to use telehealth to deliver high-quality care. Patient satisfaction is a key indicator of how well the telemedicine modality met patient expectations. OBJECTIVE The objective of this systematic review and narrative analysis is to explore the association of telehealth and patient satisfaction in regards to effectiveness and efficiency. METHODS Boolean expressions between keywords created a complex search string. Variations of this string were used in Cumulative Index of Nursing and Allied Health Literature and MEDLINE. RESULTS 2193 articles were filtered and assessed for suitability (n=44). Factors relating to effectiveness and efficiency were identified using consensus. The factors listed most often were improved outcomes (20%), preferred modality (10%), ease of use (9%), low cost 8%), improved communication (8%) and decreased travel time (7%), which in total accounted for 61% of occurrences. CONCLUSION This review identified a variety of factors of association between telehealth and patient satisfaction. Knowledge of these factors could help implementers to match interventions as solutions to specific problems.
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Affiliation(s)
| | | | | | - Lan Tran
- Texas State University, San Marcos, Texas, USA
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Pfützner A, Stratmann B, Funke K, Pohlmeier H, Rose L, Sieber J, Flacke F, Tschoepe D. Real-World Data Collection Regarding Titration Algorithms for Insulin Glargine in Patients With Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2016; 10:1122-9. [PMID: 27325389 PMCID: PMC5032964 DOI: 10.1177/1932296816654714] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The primary objective of this study was to collect data regarding the effectiveness of different dose titration algorithms (TAs) for optimization or initiation of basal insulin supported oral therapy (BOT) in patients with type 2 diabetes. A total of 50 patients were enrolled in this trial (17 women, 33 men, age 63 ± 8 years, HbA1c 7.9 ± 0.8%). The investigator decided on an individual basis to apply any of 4 standard TAs: standard (S: fasting glucose target 90-130 mg/dL, n = 39), standard-fast titration (S-FT: 90-130 mg/dL, larger dose increments at FBG < 180 mg/dl, n = 1), less tight (LT: 110-150 mg/dL, n = 5), and tight (T: 70-100 mg/dL, n = 5). During the next 30 days daily contacts were used to adapt the insulin dose. The majority of all patients (70%) achieved a stable insulin glargine dose within 5 ± 6 days after initiation of the dose titration. HbA1c improved from 7.9 ± 0.8% to 7.5 ± 0.7% (P < .001). In total, 1300 dose decisions were made (1192 according to the TA and 108 by the physicians independently from the TA in 29 patients [58% of study population]). Reasons for TA-overruling dosing decisions were hypoglycemic events (14 mild/4 moderate) in 9 patients. In the majority of these cases (89.8%), the physician recommended continuation of the previous dose or a higher dose. The majority of FBG values were within the respective target range after 4 weeks. In conclusion, the insulin glargine TAs delivered safe dose recommendations with a low risk of hypoglycemia, which successfully led to a stable dose in the vast majority of patients.
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Affiliation(s)
| | - Bernd Stratmann
- Herz- und Diabeteszentrum NRW, Ruhr Universität Bochum, Bad Oeynhausen, Germany
| | | | | | | | | | | | - Diethelm Tschoepe
- Herz- und Diabeteszentrum NRW, Ruhr Universität Bochum, Bad Oeynhausen, Germany
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Levy N, Moynihan V, Nilo A, Singer K, Bernik LS, Etiebet MA, Fang Y, Cho J, Natarajan S. The Mobile Insulin Titration Intervention (MITI) for Insulin Adjustment in an Urban, Low-Income Population: Randomized Controlled Trial. J Med Internet Res 2015; 17:e180. [PMID: 26187303 PMCID: PMC4527003 DOI: 10.2196/jmir.4716] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Revised: 06/18/2015] [Accepted: 06/29/2015] [Indexed: 01/15/2023] Open
Abstract
Background Diabetes patients are usually started on a low dose of insulin and their dose is adjusted or “titrated” according to their blood glucose levels. Insulin titration administered through face-to-face visits with a clinician can be time consuming and logistically burdensome for patients, especially those of low socioeconomic status (SES). Given the wide use of mobile phones among this population, there is the potential to use short message service (SMS) text messaging and phone calls to perform insulin titration remotely. Objective The goals of this pilot study were to (1) evaluate if our Mobile Insulin Titration Intervention (MITI) intervention using text messaging and phone calls was effective in helping patients reach their optimal insulin glargine dose within 12 weeks, (2) assess the feasibility of the intervention within our clinic setting and patient population, (3) collect data on the cost savings associated with the intervention, and (4) measure patient satisfaction with the intervention. Methods This was a pilot study evaluating an intervention for patients requiring insulin glargine titration in the outpatient medical clinic of Bellevue Hospital Center in New York City. Patients in the intervention arm received weekday SMS text messages from a health management platform requesting their fasting blood glucose values. The clinic’s diabetes nurse educator monitored the texted responses on the platform website each weekday for alarm values. Once a week, the nurse reviewed the glucose values, consulted the MITI titration algorithm, and called patients to adjust their insulin dose. Patients in the usual care arm continued to receive their standard clinic care for insulin titration. The primary outcome was whether a patient reached his/her optimal insulin glargine dose within 12 weeks. Results A total of 61 patients consented and were randomized into the study. A significantly greater proportion of patients in the intervention arm reached their optimal insulin glargine dose than patients in the usual care arm (88%, 29/33 vs 37%, 10/27; P<.001). Patients responded to 84.3% (420/498) of the SMS text messages requesting their blood glucose values. The nurse reached patients within 2 attempts or by voicemail 91% of the time (90/99 assigned calls). When patients traveled to the clinic, they spent a median of 45 minutes (IQR 30-60) on travel and 39 minutes (IQR 30-64) waiting prior to appointments. A total of 61% (37/61) of patients had appointment copays. After participating in the study, patients in the intervention arm reported higher treatment satisfaction than those in the usual care arm. Conclusions MITI is an effective way to help low-SES patients reach their optimal insulin glargine dose using basic SMS text messaging and phone calls. The intervention was feasible and patients were highly satisfied with their treatment. The intervention was cost saving in terms of time for patients, who were able to have their insulin titrated without multiple clinic appointments. Similar interventions should be explored to improve care for low-SES patients managing chronic disease. Trial Registration Clinicaltrials.gov NCT01879579; https://clinicaltrials.gov/ct2/show/NCT01879579 (Archived by WebCite at http://www.webcitation.org/6YZik33L3).
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Affiliation(s)
- Natalie Levy
- Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York, NY, United States
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