An Interactive Voice Response and Text Message Intervention to Improve Blood Pressure Control Among Individuals With Hypertension Receiving Care at an Urban Indian Health Organization: Protocol and Baseline Characteristics of a Pragmatic Randomized Controlled Trial

Emily B Schroeder, Kelly Moore, Spero M Manson, Megan A Baldwin, Glenn K Goodrich, Allen S Malone, Lisa E Pieper, Stanley Xu, Meredith M Fort, David Johnson, Linda Son-Stone, John F Steiner, Emily B Schroeder, Kelly Moore, Spero M Manson, Megan A Baldwin, Glenn K Goodrich, Allen S Malone, Lisa E Pieper, Stanley Xu, Meredith M Fort, David Johnson, Linda Son-Stone, John F Steiner

Abstract

Background: Efficient and effective strategies for treating chronic health conditions such as hypertension are particularly needed for under-resourced clinics such as Urban Indian Health Organizations (UIHOs).

Objective: The objective of the Controlling Blood Pressure Trial is to assess the impact of an interactive voice response and text message (IVR-T) intervention compared with usual care among individuals with hypertension receiving care at a UIHO in Albuquerque, New Mexico. This manuscript presents the baseline characteristics of individuals enrolled in the trial and compares their characteristics with those in the hypertension registry who did not enroll in the trial.

Methods: A hypertension registry developed from the clinic's electronic health record was used for recruitment. Potentially eligible participants were contacted by letter and then by phone. Those who expressed interest completed an in-person baseline visit that included a baseline survey and blood pressure measurement using standardized procedures. Individuals randomized to the intervention group could opt to receive either automated text messages or automated phone calls in either English or Spanish. The messages include reminders of upcoming appointments at First Nations Community HealthSource, requests to reschedule recently missed appointments, monthly reminders to refill medications, and weekly motivational messages to encourage self-care, appointment keeping, and medication taking for hypertension. Individuals in the IVR-T arm could opt to nominate a care partner to also receive notices of upcoming and missed appointments. Individuals in the IVR-T arm were also offered a home blood pressure monitor. Follow-up visits will be conducted at 6 months and 12 months.

Results: Over a 9.5-month period from April 2017 to January 2018, 295 participants were enrolled from a recruitment list of 1497 individuals. The enrolled cohort had a mean age of 53 years, was 25.1% (74/295) American Indian or Alaska Native and 51.9% (153/295) Hispanic, and 39.0% (115/295) had a baseline blood pressure greater than or equal to 140/90 mmHg. Overall, the differences between those enrolled in the trial and patients with hypertension who were ineligible, those who could not be reached, or those who chose not to enroll were minimal. Enrolled individuals had a slightly lower blood pressure (129/77 mmHg vs 132/79 mmHg; P=.04 for systolic blood pressure and P=.01 for diastolic blood pressure), were more likely to self-pay for their care (26% vs 10%; P<.001), and had a more recent primary care visit (164 days vs 231 days; P<.001). The enrolled cohort reported a high prevalence of poor health, low socioeconomic status, and high levels of basic material needs.

Conclusions: The Controlling Blood Pressure Trial has successfully enrolled a representative sample of individuals receiving health care at a UIHO. Trial follow-up will conclude in February 2019.

Trial registration: ClinicalTrials.gov NCT03135405; https://ichgcp.net/clinical-trials-registry/NCT03135405 (Archived by WebCite http://www.webcitation.org/76H2B4SO6).

International registered report identifier (irrid): DERR1-10.2196/11794.

Keywords: Indians, North American; hypertension; pragmatic clinical trial; text messages; urban health.

Conflict of interest statement

Conflicts of Interest: None declared.

©Emily B Schroeder, Kelly Moore, Spero M Manson, Megan A Baldwin, Glenn K Goodrich, Allen S Malone, Lisa E Pieper, Stanley Xu, Meredith M Fort, David Johnson, Linda Son-Stone, John F Steiner. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 02.04.2019.

References

    1. Liao Y, Bang D, Cosgrove S, Dulin R, Harris Z, Stewart A, Taylor A, White S, Yatabe G, Liburd L, Giles W, Division of Adult Community Health‚ National Center for Chronic Disease Prevention Health Promotion. Centers for Disease Control Prevention (CDC) Surveillance of health status in minority communities - Racial and Ethnic Approaches to Community Health Across the U.S. (REACH U.S.) Risk Factor Survey, United States, 2009. MMWR Surveill Summ. 2011 May 20;60(6):1–44.
    1. Moore K, Jiang L, Manson SM, Beals J, Henderson W, Pratte K, Acton KJ, Roubideaux Y. Case management to reduce cardiovascular disease risk in American Indians and Alaska Natives with diabetes: results from the Special Diabetes Program for Indians Healthy Heart Demonstration Project. Am J Public Health. 2014 Nov;104(11):e158–64. doi: 10.2105/AJPH.2014.302108.
    1. Urban Indian Health Institute. [2018-07-31]. About Urban Indian Health Organizations .
    1. Yuan NP, Bartgis J, Demers D. Promoting ethical research with American Indian and Alaska Native people living in urban areas. Am J Public Health. 2014 Nov;104(11):2085–91. doi: 10.2105/AJPH.2014.302027.
    1. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC, Svetkey LP, Taler SJ, Townsend RR, Wright JT, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8) J Am Med Assoc. 2014 Feb 05;311(5):507–20. doi: 10.1001/jama.2013.284427.
    1. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2017 Nov 13; doi: 10.1161/HYP.0000000000000065.
    1. Hutchinson RN, Shin S. Systematic review of health disparities for cardiovascular diseases and associated factors among American Indian and Alaska Native populations. PLoS One. 2014;9(1):e80973. doi: 10.1371/journal.pone.0080973.
    1. Hayslett JA, Eichner JE, Yeh JL, Wang W, Henderson J, Devereux RB, Welty TK, Fabsitz RR, Howard BV, Lee ET. Hypertension treatment patterns in American Indians: the strong heart study. Am J Hypertens. 2001 Sep;14(9 Pt 1):950–6.
    1. Harris R, Nelson LA, Muller C, Buchwald D. Stroke in American Indians and Alaska Natives: a systematic review. Am J Public Health. 2015 Aug;105(8):e16–26. doi: 10.2105/AJPH.2015.302698.
    1. Glynn LG, Murphy AW, Smith SM, Schroeder K, Fahey T. Interventions used to improve control of blood pressure in patients with hypertension. Cochrane Database Syst Rev. 2010 Mar 17;(3):CD005182. doi: 10.1002/14651858.CD005182.pub4.
    1. Steiner JF, Shainline MR, Bishop MC, Xu S. Reducing missed primary care appointments in a learning health system: two randomized trials and validation of a predictive model. Med Care. 2016 Jul;54(7):689–96. doi: 10.1097/MLR.0000000000000543.
    1. Thakkar J, Kurup R, Laba T, Santo K, Thiagalingam A, Rodgers A, Woodward M, Redfern J, Chow CK. Mobile telephone text messaging for medication adherence in chronic disease: a meta-analysis. JAMA Intern Med. 2016 Mar;176(3):340–9. doi: 10.1001/jamainternmed.2015.7667.
    1. Anglada-Martinez H, Riu-Viladoms G, Martin-Conde M, Rovira-Illamola M, Sotoca-Momblona JM, Codina-Jane C. Does mHealth increase adherence to medication? Results of a systematic review. Int J Clin Pract. 2015 Jan;69(1):9–32. doi: 10.1111/ijcp.12582.
    1. Gwadry-Sridhar FH, Manias E, Lal L, Salas M, Hughes DA, Ratzki-Leewing A, Grubisic M. Impact of interventions on medication adherence and blood pressure control in patients with essential hypertension: a systematic review by the ISPOR medication adherence and persistence special interest group. Value Health. 2013;16(5):863–71. doi: 10.1016/j.jval.2013.03.1631.
    1. Kassavou A, Sutton S. Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques. Health Psychol Rev. 2018 Dec;12(1):25–42. doi: 10.1080/17437199.2017.1365617.
    1. Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013 Dec 05;(12):CD007458. doi: 10.1002/14651858.CD007458.pub3.
    1. Piette JD, List J, Rana GK, Townsend W, Striplin D, Heisler M. Mobile health devices as tools for worldwide cardiovascular risk reduction and disease management. Circulation. 2015 Nov 24;132(21):2012–27. doi: 10.1161/CIRCULATIONAHA.114.008723.
    1. Magid DJ, Ho PM, Olson KL, Brand DW, Welch LK, Snow KE, Lambert-Kerzner AC, Plomondon ME, Havranek EP. A multimodal blood pressure control intervention in 3 healthcare systems. Am J Manag Care. 2011 Apr;17(4):e96–103.
    1. Bender BG, Cvietusa PJ, Goodrich GK, Lowe R, Nuanes HA, Rand C, Shetterly S, Tacinas C, Vollmer WM, Wagner N, Wamboldt FS, Xu S, Magid DJ. Pragmatic trial of health care technologies to improve adherence to pediatric asthma treatment: a randomized clinical trial. JAMA Pediatr. 2015 Apr;169(4):317–23. doi: 10.1001/jamapediatrics.2014.3280.
    1. Shoup JA, Madrid C, Koehler C, Lamb C, Ellis J, Ritzwoller DP, Daley MF. Effectiveness and cost of influenza vaccine reminders for adults with asthma or chronic obstructive pulmonary disease. Am J Manag Care. 2015 Jul 01;21(7):e405–13.
    1. Steiner JF, Shainline MR, Dahlgren JZ, Kroll A, Xu S. Optimizing number and timing of appointment reminders: a randomized trial. Am J Manag Care. 2018 Aug;24(8):377–84.
    1. Reboussin DM, Allen NB, Griswold ME, Guallar E, Hong Y, Lackland DT, Miller EPR, Polonsky T, Thompson-Paul AM, Vupputuri S. Systematic Review for the 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018 Jun;71(6):e116–e135. doi: 10.1161/HYP.0000000000000067.
    1. Uhlig K, Patel K, Ip S, Kitsios GD, Balk EM. Self-measured blood pressure monitoring in the management of hypertension: a systematic review and meta-analysis. Ann Intern Med. 2013 Aug 06;159(3):185–94. doi: 10.7326/0003-4819-159-3-201308060-00008.
    1. Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. Br Med J. 2015 May 08;350:h2147. doi: 10.1136/bmj.h2147.
    1. Selby JV, Peng T, Karter AJ, Alexander M, Sidney S, Lian J, Arnold A, Pettitt D. High rates of co-occurrence of hypertension, elevated low-density lipoprotein cholesterol, and diabetes mellitus in a large managed care population. Am J Manag Care. 2004 Feb;10(2 Pt 2):163–70.
    1. Hacking D, Haricharan HJ, Brittain K, Lau YK, Cassidy T, Heap M. Hypertension health promotion via text messaging at a community health center in South Africa: a mixed methods study. JMIR Mhealth Uhealth. 2016 Mar 10;4(1):e22. doi: 10.2196/mhealth.4569.
    1. Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu L, Brennan T, Rayner B, Namane M, Steyn K, Tarassenko L, Levitt N. Mobile phone text messages to support treatment adherence in adults with high blood pressure (SMS-Text Adherence Support [StAR]): a single-blind, randomized trial. Circulation. 2016 Feb 09;133(6):592–600. doi: 10.1161/CIRCULATIONAHA.115.017530.
    1. Diez-Canseco F, Zavala-Loayza JA, Beratarrechea A, Kanter R, Ramirez-Zea M, Rubinstein A, Martinez H, Miranda JJ. Design and multi-country validation of text messages for an mHealth intervention for primary prevention of progression to hypertension in Latin America. JMIR Mhealth Uhealth. 2015 Feb 18;3(1):e19. doi: 10.2196/mhealth.3874.
    1. Buis LR, Artinian NT, Schwiebert L, Yarandi H, Levy PD. Text messaging to improve hypertension medication adherence in African Americans: BPMED intervention development and study protocol. JMIR Res Protoc. 2015 Jan 02;4(1):e1. doi: 10.2196/resprot.4040.
    1. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. Am J Epidemiol. 1989 Apr;129(4):687–702.
    1. Voils CI, King HA, Neelon B, Hoyle RH, Reeve BB, Maciejewski ML, Yancy WS. Characterizing weekly self-reported antihypertensive medication nonadherence across repeated occasions. Patient Prefer Adherence. 2014;8:643–50. doi: 10.2147/PPA.S60715. doi: 10.2147/PPA.S60715.
    1. Smith MS, Wallston KA, Smith CA. The development and validation of the Perceived Health Competence Scale. Health Educ Res. 1995 Mar;10(1):51–64.
    1. Löwe B, Kroenke K, Gräfe K. Detecting and monitoring depression with a two-item questionnaire (PHQ-2) J Psychosom Res. 2005 Feb;58(2):163–71. doi: 10.1016/j.jpsychores.2004.09.006.
    1. Kressin NR, Raymond KL, Manze M. Perceptions of race/ethnicity-based discrimination: a review of measures and evaluation of their usefulness for the health care setting. J Health Care Poor Underserved. 2008 Aug;19(3):697–730. doi: 10.1353/hpu.0.0041.
    1. Brondolo E, Kelly K, Coakley V, Gordon T, Thompson S, Levy E, Cassells A, Tobin J, Sweeney M. The Perceived Ethnic Discrimination Questionnaire: development and preliminary validation of a community version. J Appl Soc Psychol. 2006 Jul 31;35(2):335–65. doi: 10.1111/j.1559-1816.2005.tb02124.x.
    1. Brondolo E, Beatty DL, Cubbin C, Pencille M, Saegert S, Wellington R, Tobin J, Cassells A, Schwartz J. Sociodemographic variations in self-reported racism in a community sample of Blacks and Latino(a)s. J Appl Soc Psychol. 2009;39(2):407–29. doi: 10.1111/j.2040-1124.2010.00046.x. doi: 10.1111/j.1559-1816.2008.00444.x.
    1. Brega AG, Jiang L, Beals J, Manson SM, Acton KJ, Roubideaux Y, Special Diabetes Program for Indians Healthy Heart Demonstration Project Special diabetes program for Indians: reliability and validity of brief measures of print literacy and numeracy. Ethn Dis. 2012;22(2):207–14.
    1. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, Greenlund K, Daniels S, Nichol G, Tomaselli GF, Arnett DK, Fonarow GC, Ho PM, Lauer MS, Masoudi FA, Robertson RM, Roger V, Schwamm LH, Sorlie P, Yancy CW, Rosamond WD, American Heart Association Strategic Planning Task Force and Statistics Committee Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation. 2010 Feb 02;121(4):586–613. doi: 10.1161/CIRCULATIONAHA.109.192703.
    1. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J, CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009 May 05;150(9):604–12.
    1. Voils CI, Maciejewski ML, Hoyle RH, Reeve BB, Gallagher P, Bryson CL, Yancy WS. Initial validation of a self-report measure of the extent of and reasons for medication nonadherence. Med Care. 2012 Dec;50(12):1013–9. doi: 10.1097/MLR.0b013e318269e121.
    1. Weidenbacher HJ, Beadles CA, Maciejewski ML, Reeve BB, Voils CI. Extent and reasons for nonadherence to antihypertensive, cholesterol, and diabetes medications: the association with depressive symptom burden in a sample of American veterans. Patient Prefer Adherence. 2015;9:327–36. doi: 10.2147/PPA.S74531. doi: 10.2147/PPA.S74531.
    1. Steiner JF. Self-reported adherence measures: what do they assess and how should we use them? Med Care. 2012 Dec;50(12):1011–2. doi: 10.1097/MLR.0b013e318270abaf.
    1. Steiner JF, Prochazka AV. The assessment of refill compliance using pharmacy records: methods, validity, and applications. J Clin Epidemiol. 1997 Jan;50(1):105–16.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: 10.1016/j.jbi.2008.08.010.
    1. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982 Dec;38(4):963–74.
    1. Fairclough D. Design and Analysis of Quality of Life Studies in Clinical Trials. 2nd ed. New York, NY: CRC Press; 2010. p. 1420061178.
    1. Little RJ. Modeling the drop-out mechanism in repeated-measures studies. J Am Stat Assoc. 1995 Sep;90(431):1112–44. doi: 10.2307/2291350.
    1. Diggle PK, Kenward MG. Informative drop-out in longitudinal data analysis. Appl Stat. 1994;43(1):49. doi: 10.2307/2986113.
    1. Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991 Apr;10(4):585–98.
    1. Byrt T, Bishop J, Carlin JB. Bias, prevalence and kappa. J Clin Epidemiol. 1993 May;46(5):423–9.
    1. Bosworth HB, Olsen MK, Grubber JM, Neary AM, Orr MM, Powers BJ, Adams MB, Svetkey LP, Reed SD, Li Y, Dolor RJ, Oddone EZ. Two self-management interventions to improve hypertension control: a randomized trial. Ann Intern Med. 2009 Nov 17;151(10):687–95. doi: 10.7326/0003-4819-151-10-200911170-00148.
    1. Kennedy-Martin T, Curtis S, Faries D, Robinson S, Johnston J. A literature review on the representativeness of randomized controlled trial samples and implications for the external validity of trial results. Trials. 2015 Nov 03;16:495. doi: 10.1186/s13063-015-1023-4.
    1. Rothman K, Greenland S, Lash T. Modern Epidemiology. 3rd ed: Lippincott, Williams, & Wilkins; 2008. p. 0781755646.
    1. Gross CP, Mallory R, Heiat A, Krumholz HM. Reporting the recruitment process in clinical trials: who are these patients and how did they get there? Ann Intern Med. 2002 Jul 02;137(1):10–6.
    1. Centers for Disease Control Prevention National Center for Chronic Disease Prevention and Health Promotion, Division of Population Healthy. BRFSS Prevalence & Trends Data online
    1. Fretts AM, Howard BV, McKnight B, Duncan GE, Beresford SA, Mete M, Zhang Y, Siscovick DS. Life's Simple 7 and incidence of diabetes among American Indians: the Strong Heart Family Study. Diabetes Care. 2014 Aug;37(8):2240–5. doi: 10.2337/dc13-2267.
    1. Pearce KA, Love MM, Shelton BJ, Schoenberg NE, Williamson MA, Barron MA, Houlihan JM, Kentucky Ambulatory Network Cardiovascular risk education and social support (CaRESS): report of a randomized controlled trial from the Kentucky Ambulatory Network (KAN) J Am Board Fam Med. 2008;21(4):269–81. doi: 10.3122/jabfm.2008.04.080007.
    1. Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P, American Heart Association Statistics CommitteeStroke Statistics Subcommittee Heart disease and stroke statistics-2017 update: a report from the American Heart Association. Circulation. 2017 Dec 07;135(10):e146–e603. doi: 10.1161/CIR.0000000000000485.

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