Design of the Pregnancy REmote MOnitoring II study (PREMOM II): a multicenter, randomized controlled trial of remote monitoring for gestational hypertensive disorders.

BACKGROUND: Observational data from the retrospective, non-randomized Pregnancy REmote MOnitoring I (PREMOM I) study showed that remote monitoring (RM) may be beneficial for prenatal observation of women at risk for gestational hypertensive disorders (GHD) in terms of clinical outcomes, health economics, and stakeholder perceptions. PREMOM II is a prospective, randomized, multicenter follow-up study that was performed to explore these promising results. METHODS: After providing written consent, 3922 pregnant women aged ≥18 years who are at increased risk of developing GHD will be randomized (1:1:1 ratio) to (a) conventional care (control group), (b) a patient self-monitoring group, and (c) a midwife-assisted RM group. The women in each group will be further divided (1:1 ratio) to evaluate the outcomes of targeted or non-targeted (conventional) antihypertensive medication. Women will be recruited in five hospitals in Flanders, Belgium: Ziekenhuis Oost-Limburg, Universitaire Ziekenhuis Antwerpen, Universitaire Ziekenhuis Leuven, AZ Sint Jan Brugge-Oostende, and AZ Sint Lucas Brugge. The primary outcomes are: (1) numbers and types of prenatal visits; (2) maternal outcomes; (3) neonatal outcomes; (4) the applicability and performance of RM; and (5) compliance with RM and self-monitoring. The secondary outcomes are: (1) cost-effectiveness and willingness to pay; (2) patient-reported outcome measures (PROMS) questionnaires on the experiences of the participants; and (3) the maternal and perinatal outcomes according to the type of antihypertensive medication. Demographic, and maternal and neonatal outcomes are collected from the patients' electronic records. Blood pressure and compliance rate will be obtained from an online digital coordination platform for remote data handling. Information about the healthcare-related costs will be obtained from the National Coordination Committee of Belgian Health Insurance Companies (Intermutualistisch Agentschap). PROMS will be assessed using validated questionnaires. DISCUSSION: To our knowledge, this is the first randomized trial comparing midwife-assisted RM and self-monitoring of prenatal blood pressure versus conventional management among women at increased risk of GHD. Positive results of this study may lead to a practical framework for caregivers, hospital management, and payers to introduce RM into the prenatal care programs of high-risk pregnancies. TRIAL REGISTRATION: This study was registered on clinicaltrials.gov , identification number NCT04031430. Registered 24 July 2019, https://clinicaltrials.gov/ct2/show/NCT04031430?cond=premom+ii&draw=2&rank=1 .

Evaluating the Impact of Freespira on Panic Disorder Patients' Health Outcomes and Healthcare Costs within the Allegheny Health Network.

Panic disorder (PD) is a debilitating condition that drives medical spending at least twice as high as medically matched controls. Excessive utilization of healthcare resources comes from emergency department (ED), medications, diagnostic testing, and physician visits. Freespira is an FDA-cleared digital therapeutic that treats PD and panic attacks (PA) by correcting underlying abnormal respiratory physiology. Efficacy of Freespira has been established in prior studies. This paper reports on a quality improvement program that investigated whether treating PD patients with Freespira would reduce medical costs and improve outcomes over 12-months. Panic symptoms were assessed using the Panic Disorder Severity Scale (PDSS). Pre-and post-treatment insurance claims determined costs. At baseline, mean Clinician Global Impression (CGI-S) was 4.4 (moderately/markedly ill), mean PDSS was 14.4 and mean PA frequency/week was 2 (range 0-5). Immediately post-treatment (week 5) mean CGI-S, PDSS and weekly PA frequency declined to 2.8 (borderline/mildly ill, 4.9 (remission) and 0.2 (range 0-2) respectively, p < 0.001. 82% reported PDSS decrease of ≥ 40% (clinically significant), 86% were PA-free. One-year post treatment mean CGI-S, PDSS and PA remained low at 2.1, 4.4, and 0.3 (range 0-1) respectively. 91% had PDSS decrease of ≥ 40%, 73% were PA-free. The majority of patients were panic attack free and/or reduced their symptoms and avoidance behaviors 1-year post Freespira treatment. Mean overall medical costs were reduced by 35% from $548 to $358 PMPM (per member per month) or an annual reduction of $2280. at 12 months post-treatment. There was a 65% reduction in ED costs from $87 to $30 PMPM. Median pharmacy costs were reduced by 68% from $73 to $23 PMPM.

Telemonitoring-based feedback improves adherence to non-vitamin K antagonist oral anticoagulants intake in patients with atrial fibrillation.

Aims: To evaluate the effect of telemonitoring on adherence to non-vitamin K antagonist oral anticoagulants (NOACs) in atrial fibrillation (AF) patients. Methods and results: A randomized, single-blind, crossover, controlled trial in 48 AF patients on once or twice daily (OD or BID) NOAC. The Medication Event Monitoring System tracked NOAC intake during three phases of 3 months each: daily telemonitoring, telemonitoring with immediate telephone feedback in case of intake errors, and an observation phase without daily transmissions. Unprotected days were defined as ≥ 3 or ≥ 1 consecutively missed doses for a BID or OD NOAC, respectively, or excess dose intake. Cost-effectiveness was calculated based on anticipated stroke reduction derived from patients' risk profile and measured intake. Persistence over the entire study was 98%. Telemonitoring-only already led to very high taking and regimen adherence (97.4% respectively 93.8%). Nevertheless, direct feedback further improved both to 99.0% and 96.8%, respectively (P < 0.001 respectively P = 0.002). Observation without daily monitoring resulted in a significant waning of taking adherence (94.3%; P = 0.049). Taking adherence was significantly higher for OD compared to BID NOAC, although unprotected days were similar. Feedback intervention had an incremental cost of €344 289 to prevent one stroke, but this could be as low as €15 488 in high-risk patients with low adherence and optimized technology. Conclusion: Telemonitoring resulted in high NOAC adherence due to the notion of being watched, as evidenced by the rapid decline during the observation period. Feedback further optimized adherence. Telemonitoring with or without feedback may be a cost-effective approach in high-risk patients deemed poorly adherent.

Risk assessment and patient stratification using implantable medical devices. The funding for personal health programs.

Chronic diseases are currently recognized as one of the leading causes of mortality and morbidity worldwide. On top of this, these diseases represent a major burden for the healthcare systems in terms of costs and resources, which is driving them to define and adopt novel programs for prevention and chronic disease management. Still, many aspects of the processes of care and follow up of these patients remain unsolved and there is yet uncertainty on how technology can provide an added value to the current processes of care. This paper addresses the importance of the adoption of strategies for the anticipation to acute events within the disease management programs and suggests a holistic approach to embrace the healthcare organizations in the design development and implementation of the new personal health systems.

Domiciliary midwifery support in high-risk pregnancy incorporating telephonic fetal heart rate monitoring: a health technology randomized assessment.

We conducted a health technology assessment of the care of women with high-risk pregnancies in the South Wales valleys. Women in the control arm were intended to receive conventional care with standard midwifery visits. Women in the intervention arm received additional or longer visits and domiciliary fetal heart rate telemonitoring. Eighty-one mothers were randomized. There were significant differences in midwifery intervention resources between domiciliary and control groups, with the former receiving a mean of 3.7 visits lasting 33.5 min, compared with 1.4 visits lasting 12.8 min for the latter. There were slightly more spontaneous labours and fewer Caesarean sections in the domiciliary group. Maternal satisfaction and anxiety were high in both groups. Domiciliary care increased the service costs by 21.02 Pounds per woman in terms of extra midwife travel and visiting time, and by a further 18.38 Pounds per woman in home monitoring equipment costs. This, however, was more than offset by health service savings from fewer clinic visits (35.60 Pounds) and fewer clinic ultrasound scans (9.01 Pounds). Adding the reductions in lost productivity to women and their partners (34.51 Pounds) suggests that domiciliary care was cheaper than conventional care, even if it did not greatly reduce inpatient days (a reduction nonetheless saving 184.24 Pounds). While clinical processes were similar in both groups, there were useful practical advantages and savings for patients and the health service from the domiciliary intervention.