The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Cost-effectiveness of telehealth with remote patient monitoring for postpartum hypertension
Abstract
OBJECTIVE: Evaluate cost-effectiveness of telehealth with remote monitoring for postpartum hypertensive disorders from the hospital's perspective. METHODS: A decision tree was developed using results from a non-randomized controlled trial comparing telehealth to standard outpatient blood pressure monitoring. At discharge, postpartum women with a hypertensive disorder received a Bluetooth tablet, blood pressure monitor, and scale to submit vitals daily for 6 weeks. Women were managed and treated with a standard protocol. We performed a cost-effectiveness analysis using data from the hospital, device manufacturer supplied charges, and utilities. A cost-effectiveness threshold was set at $100,000/quality-adjusted life years. One-way and two-way sensitivity analyses were performed to evaluate the robustness of our results compared to baseline assumptions. RESULTS: Telehealth monitoring significantly reduced postpartum readmissions, 3.7% (8/214) versus 0.5% (1/214), and resulted in higher quality-adjusted life years. Telehealth monitoring was cost-effective and cost-saving. Average cost of telehealth per patient was $309, and was cost-effective to a cost of $420 per patient. Telehealth monitoring remained cost-effective down to an admission cost of $10,999 compared to our baseline-estimate for the average admission cost of $14,401. Telehealth monitoring also remained cost-effective when the postpartum readmission rate was 3.0% or higher with standard monitoring. With a cost saving of $93 per patient and an estimated 333,253 pregnant women with hypertension in the US a year, telehealth could reduce health care costs in the US by approximately $31 million a year. CONCLUSIONS: This study demonstrates telehealth with remote blood pressure monitoring may be a cost-effective and cost-saving solution for management of postpartum hypertension.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“While meticulous, this process is essential in RPM-HTN programs to facilitate successful home-based monitoring, aid patients in managing hypertension, administer antihypertensive medications, detect masked hypertension, and help avoid emergencies that could escalate to higher-acuity care.24–27”
Citations
Cites
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648
Methods for the economic evaluation of health care programmes
Wilson, S. (1987) · Journal of Epidemiology & Community Health · doi:10.1136/jech.41.4.355-a · Cited by 4,312
(2013) · doi:10.1097/01.aog.0000437382.03963.88 · Cited by 3,961
Sanders, G. D., Neumann, P. J., Basu, A., Brock, D. W., Feeny, D., Krahn, M., Kuntz, K. M., Meltzer, D. O., Owens, D. K., Prosser, L. A., et al. (2016) · JAMA · doi:10.1001/jama.2016.12195 · Cited by 3,069
US Valuation of the EQ-5D Health States
Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005) · Medical Care · doi:10.1097/00005650-200503000-00003 · Cited by 1,282
ACOG Committee Opinion No. 736: Optimizing Postpartum Care
(2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002633 · Cited by 1,090
A Meta-Analysis of Remote Monitoring of Heart Failure Patients
Klersy, C., SILVESTRI, A. D., Gabutti, G., Regoli, F. D., & Auricchio, A. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.08.017 · Cited by 381
A multi-state analysis of postpartum readmissions in the United States
Clapp, M. A., Little, S. E., Zheng, J., & Robinson, J. N. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.01.174 · Cited by 241
World Trade Organization (2005) · World Trade Report · doi:10.30875/8466f5ca-en · Cited by 229
Hirshberg, A., Downes, K. L., & Srinivas, S. K. (2018) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-007837 · Cited by 179
Flagged first, then by citations
Research works printed but not linked: 1
- Hirshberg A, Bittle MD, VanDerTuyn M, et al. Rapid-cycle innovation testing of text-based monitoring for management of postpartum hypertension. J Clin Outcomes Manag. 2017;24(2).
Cited by
Sorted by citations
Lewey, J., Beckie, T. M., Brown, H. L., Brown, S. D., Garovic, V. D., Khan, S. S., Miller, E. C., Sharma, G., Mehta, L. S., & on behalf of the American Heart Association Cardiovascular Disease and Stroke in Women and Underrepresented Populations Committee of the Council on Clinical Cardiology; Council on Cardiopulmonary, C. C. (2024) · Circulation · doi:10.1161/cir.0000000000001212 · Cited by 229
“37–39 It is important to note that remote BP monitoring has been found to be feasible in racially diverse populations and reduces disparities in postpartum BP monitoring.”
BackgroundHypertension in Pregnancy and Postpartum: Current Standards and Opportunities to Improve Care
Countouris, M. E., Mahmoud, Z., Cohen, J. B., Crousillat, D. R., Hameed, A. B., Harrington, C. M., Hauspurg, A. K., Honigberg, M. C., Lewey, J., Lindley, K. J., et al. (2025) · Circulation · doi:10.1161/circulationaha.124.073302 · Cited by 146
“78,80 Recent studies have shown that brief HBPM combined with medication self-management and telehealth support leads to lower BP at 6 and 9 months compared with usual postpartum care and is associated with improved measures of cardiac structure and function.”
Postpartum Home Blood Pressure Monitoring
Steele, D. W., Adam, G. P., Saldanha, I. J., Kanaan, G., Zahradnik, M. L., Danilack, V. A., Stuebe, A. M., Peahl, A. F., Chen, K. K., & Balk, E. M. (2023) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000005270 · Cited by 65
Association of a Remote Blood Pressure Monitoring Program With Postpartum Adverse Outcomes
Hirshberg, A., Zhu, Y., Smith–McLallen, A., & Srinivas, S. K. (2023) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000005197 · Cited by 50
Arkerson, B. J., Finneran, M. M., Harris, S. R., Schnorr, J., McElwee, E. R., Demosthenes, L. D., & Sawyer, R. (2023) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000005327 · Cited by 48
Metadata
- Authors
- Niu, B., Mukhtarova, N., Alagoz, O., & Hoppe, K.
- Affiliations
- University of Wisconsin–Madison (US)
- School of Medicine and Public Health, University of Wisconsin
- Corresponding author
- Hoppe, Kara
- Venue
- The Journal of Maternal-Fetal & Neonatal Medicine
- Publisher
- Informa UK Limited
- Published
- 2021-09-01
- Volume
- 35
- Issue
- 25
- Pages
- 7555-7561
- ISSN
- 1476-4954 (ISSN-L)
- 1476-7058
- OpenAlex
- W3196406473
- Cited by
- 52
- References
- 16
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 19 · 2023: 9 · 2022: 2 · 2021: 1
- FWCI
- 6.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Maternal-Fetal & Neonatal Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- UnityPoint Health-Meriter Foundation
- University of Wisconsin Department of Obstetrics & Gynecology
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Keywords
- telemedicine, remote patient monitoring, postpartum hypertension, hypertensive disorders of pregnancy, cost-effectiveness, postpartum readmission, blood pressure monitoring, quality-adjusted life years, hospital costs
- MeSH terms
- Cost-Benefit Analysis, Female, Humans, Hypertension, Monitoring, Physiologic, Pregnancy, Telemedicine, Postpartum Period
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
