Sometimes the breakthrough is not a new drug but delivering proven care better
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Effectiveness of Nurse-Coordinated, Digital-Supported Collaborative Care Model in Reducing Hospital Stay and Mortality Among Patients With Heart Failure: TIME-HF Cluster RCT India
Jeemon PanniyammakalPanniyammakal JeemonSanjay GanapathiNavya AnikkadySunaib IsmailGovindan UnniC.G. BahuleyanRenukadevi MeeraRachel DanielStigi JosephG. Justin PaulSunil PisharodyRajeev EdakuttyJohny JosephJabir AbdullakuttyTiny NairThottathan AthiraMariyam AlexAlan JojoRajendiran GopalanJayakumar BalakrishnanJoyal J. KandathilMadhu SreedharanNalin Kumar MaheshPaul ThomasVijayan GanesanPlacid SebastianSajan AhmadSalman SalahuddinShafeeq MattummalVeena NanjappaVijo GeorgeEapen PunnooseN. (Nurfaidah) SyamS HarikrishnanMahesh N. KumarAnit JaimonAnnie Anna JoshyJini Elizabath DanielAnju P. SureshAnne Princy SteaphenK. Sangeetha PriyaS. GomathiShilvia ShyleeVibi ViswanP. S. SreejaDevaraju Chandgalu JavaregowdaMadhu NishaM. MadhusriMonisha RameshK.C. JometAnagha SabhuC.C. RajeshBhagyalakshmi AbijithAswathy PramodR. MeeraSindhu SusanRenu SanuLakshmi JanardhananAnu LukoseAmrutha SreelalP.S. ArjunlalAkhila RajPrabisha SirilB.K. ShemijaSurabhi BharathMallika DinuS. ShamnaJesline ThomasSunitha AndrewsTismonM DhanyaNeethu JomonJoy JoicyJayakumari RadhaB. FasilaAswathi PramodP. JeemonR. KarthikaMaariyah J. NainaDevika PrasadS. ManjimaK. HennaR. AnjuPrinu JoseT. AthiraReshmy MohanSunu ThomasC. SusannaK.R. NeenumolAnu Mary ChackoV.P. Rahul RaveendranSreenath Nannatt
What happened
Nurse-coordinated mHealth collaborative care increases two-year hospitalization-free survival odds by ~78% in HFrEF.
- OR 1.78
- 95% CI 1.42-2.23
- n=1,507
- 84.0% vs 79.4% at 2 years (24 months)
Does this change practice?
Where experts agree
Multiple clinicians emphasized that the key lesson of TIME-HF is that better care delivery, not a new drug, produced these outcomes. They frame the nurse-led digital model as the active ingredient behind the mortality and hospitalization reductions.
What this trial adds
Experts read TIME-HF as a clear positive signal that nurse-led, digitally supported heart failure care can meaningfully reduce mortality and hospitalizations, with several noting the breakthrough here is not a new drug but better delivery of proven care.
Published field read
The reaction to TIME-HF is uniformly positive, with clinicians highlighting that structured nurse-led follow-up, not just technology alone, drove the survival and hospitalization benefits. Commentators contrast this result with telemonitoring-only trials that failed, crediting the combination of digital tools and nursing agency. The open question is whether this collaborative care model can be replicated and scaled outside the Indian health system where it was tested.
Still open
Questions raised in published commentaryWhether this nurse-led, mobile-health model can be exported to health systems with different staffing structures and resources remains unaddressed.
Experts have not yet weighed in on which components of the intervention were most essential or whether guideline bodies will act on these findings.
Context from published commentary. Source summaries are not a new guideline recommendation.
Who says what
Anna Witowicz
Practice takeHeart failure specialist, National Institute of Cardiology, WarsawThe real heart failure advance at ESC was about who conducts follow-up, not AI
Original post ↗
Ahmed BennisLive reportingHeart Failure / Cardiomyopathy · Centre Hospitalier Universitaire Hassan II
Flagged the TIME-HF cluster RCT results on nurse-coordinated, digital-supported collaborative care for heart failure in India.
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Full evidence
Why the trial, key points, tables, limitations, PICO, abstract, media & sources
Full evidence
Why the trial, key points, tables, limitations, PICO, abstract, media & sources
Why the trial?
Guideline-directed heart failure therapy is persistently under-implemented in routine practice. TIME-HF asked whether a team-based collaborative care model improves treatment optimisation and outcomes compared with usual management.
Does a nurse-coordinated, mobile health-supported collaborative care model improve days alive and out of the hospital in adults with HFrEF?
Evidence details
What drove the result?
| Outcome | Collab care | Usual care |
|---|---|---|
| Alive and out of hospital for all 730 days | 84.0% | 79.4% |
| Primary outcome · OR 1.78 (95% CI 1.42–2.23) favoring collaborative care | ||
| All-cause death | 163/755 (21.6%) | 201/752 (26.7%) |
| Secondary outcome · adjusted HR 0.78 (95% CI 0.63–0.95); p=0.028 | ||
Limitations & tradeoffs
Representation
Single-country trial in India in which 70% of participants had low educational attainment, 57% were rural, and 77.6% were men.
Subgroup caution
The mortality benefit was a secondary outcome, not the primary endpoint.
Design limitations
No blinding is described in the record for this care-model intervention.
Structured PICO
Does a nurse-coordinated, mobile health-supported collaborative care model improve days alive and out of the hospital in adults with HFrEF?
P
Population
1507 adults with heart failure with reduced ejection fraction across 22 centers in India, followed for 2 years.
I
Intervention
Nurse-coordinated, mobile health-supported collaborative care model including risk stratification, lifestyle and pharmacological optimization, self-care education, active follow-up, and continuous outpatient monitoring over 2 years.
C
Comparator
Usual care.
O
Outcome
Days alive and out of the hospital over 2 years.composite
Main Result
Odds Ratio: 1.78 (95% CI 1.42–2.23)
Absolute Event Rate: 84% vs 79.4%
Absolute Risk Reduction: 4.5%
A nurse-coordinated, digital-supported collaborative care model significantly increased days alive and out of hospital and reduced all-cause mortality in patients with HFrEF in India.
Discussion
No takes yet. Share an insight, caveat, or question.
Expert reaction
What experts said about TIME-HF
Circulation · ESC Congress 2026
1 expert has reacted so far. We show the split once 3 have.
Expert labels are toward TIME-HF's result, from named public quotes (n=1). As of Aug 30, 2026.
Where experts stand
Experts read TIME-HF as a clear positive signal that nurse-led, digitally supported heart failure care can meaningfully reduce mortality and hospitalizations, with several noting the breakthrough here is not a new drug but better delivery of proven care.
The reaction to TIME-HF is uniformly positive, with clinicians highlighting that structured nurse-led follow-up, not just technology alone, drove the survival and hospitalization benefits. Commentators contrast this result with telemonitoring-only trials that failed, crediting the combination of digital tools and nursing agency. The open question is whether this collaborative care model can be replicated and scaled outside the Indian health system where it was tested.
Agreement
Multiple clinicians emphasized that the key lesson of TIME-HF is that better care delivery, not a new drug, produced these outcomes. They frame the nurse-led digital model as the active ingredient behind the mortality and hospitalization reductions.
2 clinicians say this directly
1 take classified by contention axis so far — the map appears as more land.
Still unclear
Whether this nurse-led, mobile-health model can be exported to health systems with different staffing structures and resources remains unaddressed. Experts have not yet weighed in on which components of the intervention were most essential or whether guideline bodies will act on these findings.
Key expert perspectives
“Taken together, the data suggest that a structured, nurse-coordinated, technology-enabled delivery model may offer a practical strategy to improve heart failure outcomes in routine care. We believe this model is not only relevant to low- and middle-income countries but also to other settings around the world where adherence to guideline-directed medical therapies is suboptimal.”
Sometimes the breakthrough is not a new drug but delivering proven care better
Alania highlights the survival-without-hospitalization benefit (84.0% vs 79.4%) and the 22% mortality reduction, framing nurse-led mobile-health-supported HF care as the real innovation. He emphasizes that better delivery of existing therapies, rather than a novel molecule, drove these results.
AWAnna WitowiczHeart failure specialist, National Institute of Cardiology, WarsawPractice takeSep 13
The real heart failure advance at ESC was about who conducts follow-up, not AI
At a congress dominated by AI, Witowicz argues that TIME-HF delivered the most instructive heart failure result by showing that an app in a nurse's hands cut deaths by 22%. She contrasts it with EMAIL-HF, where passive detection without continuity failed, concluding that detection is getting easier but continuity is not.
Distilled from their postOriginal post
Implication
Nurse-coordinated collaborative care improved 2-year survival without hospitalization (84.0% vs 79.4%) and cut all-cause death (HR 0.78) in Indian HFrEF care.
Abstract
BACKGROUND: Heart failure with reduced ejection fraction causes high mortality and recurrent hospitalizations in India. We evaluated the effectiveness of the collaborative care model in improving days alive and out of the hospital and overall survival. METHODS: We conducted a parallel-group, cluster-randomized controlled trial involving 1507 adults with heart failure with reduced ejection fraction across 22 centers in India (CTRI/2021/11/037797). Centers were randomized 1:1 to the intervention or usual care. Participants were followed up for 2 years. The intervention included risk stratification, lifestyle and pharmacological optimization, and a nurse-coordinated, mobile health–supported disease management program with self-care education, active follow-up, and continuous outpatient monitoring throughout the study period. The primary outcome was days alive and out of the hospital, and all-cause mortality was assessed as a secondary outcome. Days alive and out of the hospital was analyzed with a one-inflated β model. All-cause mortality was analyzed with Cox proportional hazards models adjusted for the clustered study design. RESULTS: Among 1507 participants (752 usual care; 755 intervention), the mean age was 61.9 years, and 77.6% were men. All participants except one completed 24 months of follow-up. Most participants (70%) had low educational attainment; 57.3% lived in rural areas; and ischemic heart disease was the predominant cause (77.4%). Baseline characteristics were comparable between the intervention and usual care groups. In the one-inflated β model, the probability of surviving up to 730 days without hospitalization was 79.4% (95% CI, 77.7%–81.2%) in the usual care group and 84.0% (95% CI, 82.2%–85.8%) in the intervention group. Participants in the intervention group had 78% higher odds of achieving a percent days alive and out of the hospital of exactly 1 (730/730 days) compared with those in the usual care group (odds ratio, 1.78 [95% CI, 1.42–2.23]). There were 201 deaths (26.73%) in the usual care group compared with 163 deaths (21.59%) in the intervention group (risk ratio, 0.80 [95% CI, 0.67–0.97]). In the multivariable Cox proportional hazards model, the intervention group had a 22% lower mortality risk than the usual care group (hazard ratio, 0.78 [95% CI, 0.63–0.95]; P =0.028). CONCLUSIONS: A nurse-coordinated, mobile health–supported collaborative care model for heart failure with reduced ejection fraction in India increased the number of days alive and out of hospital, raised the absolute probability of remaining out of hospital by 4.5 percentage points, and reduced all-cause mortality by 22%. REGISTRATION: URL: www.ctri.nic.in ; Unique identifier: CTRI/2021/11/037797.
Coverage & sources
Journal, society, and media accounts. Useful signal, not independent expert judgment.
Cite This Study
Jeemon et al. (2026) conducted an RCT in Heart failure with reduced ejection fraction (n=1,507). Nurse-coordinated, mobile health-supported collaborative care model vs. Usual care was evaluated on Days alive and out of the hospital (OR 1.78, 95% CI 1.42-2.23). A nurse-coordinated collaborative care model for HFrEF increased the probability of surviving 2 years without hospitalization (84.0% vs 79.4%; OR 1.78) and reduced mortality (HR 0.78).