Literature DB >> 19927132

Economic evaluation of home blood pressure monitoring with or without telephonic behavioral self-management in patients with hypertension.

Shelby D Reed1, Yanhong Li, Eugene Z Oddone, Alice M Neary, Melinda M Orr, Janet M Grubber, Felicia L Graham, Maren K Olsen, Laura P Svetkey, Rowena J Dolor, Benjamin J Powers, Martha B Adams, Hayden B Bosworth.   

Abstract

BACKGROUND: The Take Control of Your Blood Pressure trial evaluated the effect of a multicomponent telephonic behavioral lifestyle intervention, patient self-monitoring, and both interventions combined compared with usual care on reducing systolic blood pressure during 24 months. The combined intervention led to a significant reduction in systolic blood pressure compared with usual care alone. We examined direct and patient time costs associated with each intervention.
METHODS: We conducted a prospective economic evaluation alongside a randomized controlled trial of 636 patients with hypertension participating in the study interventions. Medical costs were estimated using electronic data representing medical services delivered within the health system. Intervention-related costs were derived using information collected during the trial, administrative records, and published unit costs.
RESULTS: During 24 months, patients incurred a mean of $6,965 (s.d., $22,054) in inpatient costs and $8,676 (s.d., $9,368) in outpatient costs, with no significant differences among the intervention groups. With base-case assumptions, intervention costs were estimated at $90 (s.d., $2) for home blood pressure monitoring, $345 (s.d., $64) for the behavioral intervention ($31 per telephone encounter), and $416 (s.d., $93) for the combined intervention. Patient time costs were estimated at $585 (s.d., $487) for home monitoring, $55 (s.d., $16) for the behavioral intervention, and $741 (s.d., $529) for the combined intervention.
CONCLUSIONS: Our analysis demonstrated that the interventions are cost-additive to the health-care system in the short term and that patients' time costs are nontrivial.

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Year:  2009        PMID: 19927132      PMCID: PMC2901769          DOI: 10.1038/ajh.2009.215

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  29 in total

1.  Targets and self monitoring in hypertension: randomised controlled trial and cost effectiveness analysis.

Authors:  R J McManus; J Mant; A Roalfe; R A Oakes; S Bryan; H M Pattison; F D R Hobbs
Journal:  BMJ       Date:  2005-08-22

2.  Racial/ethnic disparities in prevalence, treatment, and control of hypertension--United States, 1999-2002.

Authors: 
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3.  Effect of a standardized nurse case-management telephone intervention on resource use in patients with chronic heart failure.

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4.  Cost effectiveness of a pharmacy-based coaching programme to improve adherence to antidepressants.

Authors:  Judith E Bosmans; Oscar H Brook; Hein P J van Hout; Martine C de Bruijne; Hugo Nieuwenhuyse; Lex M Bouter; Wim A B Stalman; Maurits W van Tulder
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

5.  Cost-utility analysis in a UK setting of self-monitoring of blood glucose in patients with type 2 diabetes.

Authors:  Andrew J Palmer; Sean Dinneen; James R Gavin; Alastair Gray; William H Herman; Andrew J Karter
Journal:  Curr Med Res Opin       Date:  2006-05       Impact factor: 2.580

6.  Trends in prevalence, awareness, treatment, and control of hypertension in the United States, 1988-2000.

Authors:  Ihab Hajjar; Theodore A Kotchen
Journal:  JAMA       Date:  2003-07-09       Impact factor: 56.272

7.  Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis.

Authors:  Bruce M Psaty; Thomas Lumley; Curt D Furberg; Gina Schellenbaum; Marco Pahor; Michael H Alderman; Noel S Weiss
Journal:  JAMA       Date:  2003-05-21       Impact factor: 56.272

8.  Call to action on use and reimbursement for home blood pressure monitoring: executive summary: a joint scientific statement from the American Heart Association, American Society Of Hypertension, and Preventive Cardiovascular Nurses Association.

Authors:  Thomas G Pickering; Nancy Houston Miller; Gbenga Ogedegbe; Lawrence R Krakoff; Nancy T Artinian; David Goff
Journal:  Hypertension       Date:  2008-05-22       Impact factor: 10.190

9.  Cost-effectiveness of telephonic disease management in heart failure.

Authors:  Brad Smith; Paul F Hughes-Cromwick; Emma Forkner; Autumn Dawn Galbreath
Journal:  Am J Manag Care       Date:  2008-02       Impact factor: 2.229

10.  Cost-effectiveness of automated telephone self-management support with nurse care management among patients with diabetes.

Authors:  Margaret A Handley; Martha Shumway; Dean Schillinger
Journal:  Ann Fam Med       Date:  2008 Nov-Dec       Impact factor: 5.166

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  23 in total

1.  Introduction of the Tools for Economic Analysis of Patient Management Interventions in Heart Failure Costing Tool: a user-friendly spreadsheet program to estimate costs of providing patient-centered interventions.

Authors:  Shelby D Reed; Yanhong Li; Shital Kamble; Daniel Polsky; Felicia L Graham; Margaret T Bowers; Gregory P Samsa; Sara Paul; Kevin A Schulman; David J Whellan; Barbara J Riegel
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2011-12-06

2.  [Prevention of therapeutic inertia in the treatment of arterial hypertension by using a program of home blood pressure monitoring].

Authors:  Emilio Márquez Contreras; José Luis Martín de Pablos; Jacinto Espinosa García; José Joaquín Casado Martínez; Eugenio Sanchez López; José Escribano
Journal:  Aten Primaria       Date:  2011-10-20       Impact factor: 1.137

3.  The impact of routine follow-up with health care teams on blood pressure control among patients with hypertension.

Authors:  Hui-Juan Zuo; Ji-Xiang Ma; Jin-Wen Wang; Xiao-Rong Chen; Lei Hou
Journal:  J Hum Hypertens       Date:  2019-01-15       Impact factor: 3.012

Review 4.  Twenty-four-hour ambulatory blood pressure monitoring in hypertension: an evidence-based analysis.

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Journal:  Ont Health Technol Assess Ser       Date:  2012-05-01

Review 5.  Economics of Team-based Care in Controlling Blood Pressure: A Community Guide Systematic Review.

Authors:  Verughese Jacob; Sajal K Chattopadhyay; Anilkrishna B Thota; Krista K Proia; Gibril Njie; David P Hopkins; Ramona K C Finnie; Nicolaas P Pronk; Thomas E Kottke
Journal:  Am J Prev Med       Date:  2015-11       Impact factor: 5.043

6.  A pharmacist intervention for monitoring and treating hypertension using bidirectional texting: PharmText BP.

Authors:  Linnea A Polgreen; Barry L Carter; Philip M Polgreen; Peter M Snyder; Daniel K Sewell; Emine O Bayman; Shelby L Francis; Jacob E Simmering; Christopher Parker; Rachel Finkelstein
Journal:  Contemp Clin Trials       Date:  2020-10-07       Impact factor: 2.226

Review 7.  Economics of Self-Measured Blood Pressure Monitoring: A Community Guide Systematic Review.

Authors:  Verughese Jacob; Sajal K Chattopadhyay; Krista K Proia; David P Hopkins; Jeffrey Reynolds; Anilkrishna B Thota; Christopher D Jones; Daniel T Lackland; Kimberly J Rask; Nicolaas P Pronk; John M Clymer; Ron Z Goetzel
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8.  Testing a behavioral intervention to improve adherence to adjuvant endocrine therapy (AET).

Authors:  Rebecca A Shelby; Caroline S Dorfman; Hayden B Bosworth; Francis Keefe; Linda Sutton; Lynda Owen; Leonor Corsino; Alaattin Erkanli; Shelby D Reed; Sarah S Arthur; Tamara Somers; Nadine Barrett; Scott Huettel; Juan Marcos Gonzalez; Gretchen Kimmick
Journal:  Contemp Clin Trials       Date:  2018-11-22       Impact factor: 2.226

Review 9.  The role of home blood pressure telemonitoring in managing hypertensive populations.

Authors:  Leah L Zullig; S Dee Melnyk; Karen Goldstein; Ryan J Shaw; Hayden B Bosworth
Journal:  Curr Hypertens Rep       Date:  2013-08       Impact factor: 5.369

10.  Synergistic physician and patient behavioral interventions as management strategy for effective population-based hypertension control.

Authors:  Pei-an Betty Shih; Daniel T O'Connor
Journal:  Curr Hypertens Rep       Date:  2010-06       Impact factor: 5.369

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