Research report
A research report is the sourced material a domain
dossier is synthesized from — generated on a plan and a cadence, one topic per file.
A report carries no confidence tags. Its bracketed markers say who might have
an incentive to shade a line; none of them says anyone checked it. To reach a score, a line has
to be drafted onto a candidate as unverified and pass the Verifier or the
Corroborator, like everything else.
Section user-groups · Version 2026-09-01 · Cadence quarterly · Evidence class mixed · Sources 8 · Supersedes none
Domain: pediatric-persistent-asthma-home-monitoring · Scope: Public primary sources reachable by this repo's connectors, WebSearch and WebFetch. Excludes CPT descriptor text (AMA-licensed), MAUDE device-complaint narratives (no connector reaches MAUDE), this repo's own HCPCS Level II local cache (confirmed still absent from data/ this pass, see section 5), and any jurisdiction other than the US as the domain's own target population — non-US findings located this pass are reported but flagged as such, not treated as evidence about the US population this domain targets.
Sourcing: The general pattern that guideline-recommended monitoring and action-plan practices are inconsistently in place rests on two independent, non-affiliated US surveys (one of clinicians, one of parents); every other line — operator eligibility criteria, school-based access, adolescent engagement, treatment-burden psychometrics, and a China-based adherence cohort — rests on exactly one source each.
The domain dossier's user-groups section was largely inferred rather than searched; this pass searches it directly. Two independent, non-affiliated US surveys — one of primary care clinicians and asthma specialists, one of parents — agree on a single pattern: core guideline-recommended self-management practices, specifically a written action plan and home peak-flow monitoring, are inconsistently in place in routine pediatric asthma care, whether measured by what clinicians report doing or by what parents report having [1][2]. Outside the exam room, a single school-nurse survey finds a large gap between how often an action plan exists and how often it is actually on file where a child spends the day [3], and the operator role is shown, in the eligibility and exclusion criteria of two currently registered US pediatric home-monitoring trials, to be structurally conditional: one requires the caregiver be able to operate a mobile application and have home broadband, and the other excludes any family whose primary language is neither English nor Spanish [5][8]. Where caregiver-adolescent engagement with a digital self-management tool has been measured directly, one small pilot found high retention and daily engagement, though it tested general self-management support rather than home peak-flow or spirometry hardware specifically [4]. The purchaser role — who in a prescribing practice budgets for, sets up and bills a home-monitoring device — and the pediatric-specific payer role (state Medicaid/CHIP or a named commercial policy, as distinct from the Medicare-oriented CMS criteria already on record in the domain dossier) remain unestablished by any primary source located this pass.
_Baseline (v1). No prior version; this establishes the starting point for future diffs._
Two independent, non-affiliated US sources converge on the same general pattern: a written action plan and home peak-flow monitoring, both guideline-recommended, are frequently absent in routine pediatric asthma management, though the two sources measure this from opposite ends and land on different specific numbers. In the 2012 National Asthma Survey of Physicians (n=1,412 primary care clinicians, n=233 asthma specialists), clinician-reported adherence with a written asthma action plan was 30.6% among primary care clinicians versus 16.4% among specialists (P<.001), while home peak-flow monitoring adherence was 12.8% versus 11.2% (P=.34, not a significant difference between the two clinician groups); spirometry testing adherence was 44.7% versus 10.8% (P<.001) [1] [single-source]. Independently, a survey of nearly 1,000 parents of asthmatic children affiliated with a US asthma patient-advocacy network found that 60% of respondents' children were not cared for by an asthma specialist and that nearly half did not have an asthma action plan [2] [single-source]. Read together, the two surveys are not measuring the same population or the same specific figure, but they independently point the same direction — the monitoring and planning behaviors a home-monitoring device would depend on being already habitual are, by both clinicians' and parents' own accounts, not yet the norm.
The two currently registered US pediatric home-asthma-monitoring pilots named in the domain dossier's reference-products section each build a structural assumption about who can operate the device directly into their own eligibility criteria, read here for what they reveal about the operator role rather than for why either program ended. A single-group wearable-monitor pilot (ages 3-18) requires as an inclusion criterion that the participant have a "Caregiver able operate a mobile application" and "Has access high-speed wireless internet (WiFi) at home" [5] [sponsor-reported]. Separately, a caregiver-adolescent dyadic mobile-health self-management pilot (n=33 dyads, ages 12-15, 20-week intervention) found 100% retention among the 17 dyads randomized to the active intervention, with adolescents engaging on a median of 21 days and caregivers on a median of 32.65 days, and reported a statistically significant improvement in asthma control scores relative to control (P=.04) [4] [single-source] — though this tested a broader self-management app, not home peak-flow or spirometry hardware specifically. A separate, non-US finding bears on the same operator question from the medication-adherence side: in a China-based remote collaborative-management cohort (n=249 pediatric asthma patients, one respiratory specialty outpatient clinic, followed January 2022 to November 2024), peak-flow-meter usage was one of the factors that significantly distinguished children on a "Rapid Improvement" inhaled-corticosteroid adherence trajectory from other trajectory groups [6] [single-source], non-US.
No source located this pass names who purchases, budgets for, sets up, or staffs a home peak-flow or spirometry monitoring program inside a pediatric prescribing practice. Three distinct PubMed query phrasings targeting this question directly — practice-level barriers to remote-monitoring implementation, staff time and billing burden for chronic-care remote monitoring, and small-practice adoption of pediatric remote monitoring — returned either zero records or a single record on an unrelated clinical area (obstetric hypertension remote monitoring), and none was pediatric-asthma-specific. This is recorded as not found for the pediatric-asthma-specific case, not merely not searched — see section 5.
The domain dossier's reimbursement section already establishes CMS's own Medicare-oriented remote-patient-monitoring eligibility criteria and CY2026 payment amounts, which govern a population this domain's own 5-17-year-old target age range is overwhelmingly outside of. A WebSearch this pass for state Medicaid or CHIP coverage of pediatric remote patient monitoring surfaced only vendor- and industry-group-produced compilations (a remote-monitoring device vendor's own state-by-state guide, a billing-consultancy blog post, and a telehealth-policy tracking organization's topic page), none of which this report follows into as a source of record, consistent with the rule that a search result is never a source of record. No primary state Medicaid regulation, bulletin, or named commercial-payer policy specific to pediatric asthma home monitoring was fetched and read this pass. Separately, this repo's own local HCPCS Level II cache remains unpopulated: a direct connector check for both "peak flow meter" and "spirometer" returned an unconfirmed status because no cache file exists at the location this repo's data/README.md names, matching the same gap the domain dossier's reimbursement section already recorded for its own cache-population work.
A validated instrument for measuring treatment burden specifically in pediatric asthma, developed and tested in 202 parent-child dyads across eight teaching hospitals (country not stated in the retrieved abstract; the paper's own grant-support field reads "Research Support, Non-U.S. Gov't," flagged here as a jurisdiction uncertainty rather than assumed to be the US), found higher burden scores associated with being female, having multiple scheduled visits, and poor asthma control, with the burden score negatively correlated with quality-of-life measures (r=-0.52 for children, r=-0.53 for parents) and with parent-child burden scores themselves only moderately correlated (r=0.33, P<.01) — the paper's own stated reason for measuring both perspectives separately [7] [single-source]. Separately, a terminated US pilot of remote asthma-medication monitoring (ages 3-21, enrolled 12 of a planned cohort before stopping for staffing reasons already on record in the domain dossier) excluded, as a matter of registered protocol design rather than any finding about the families themselves, any family whose primary language was neither English nor Spanish [8] [sponsor-reported] — a structural access boundary on who a program built this way can reach at all, independent of why that particular program ended.
[1] Clinician Agreement, Self-Efficacy, and Adherence with the Guidelines for the Diagnosis and Management of Asthma — The Journal of Allergy and Clinical Immunology: In Practice (published 2018 May-Jun, exact day not given in the PubMed record; accessed 2026-09-01). PMID 29408439 — https://pubmed.ncbi.nlm.nih.gov/29408439/ [peer-reviewed] [2] What do patients want from their asthma care doctors? — Paediatric Respiratory Reviews (published 2018-06, exact day not given in the PubMed record; accessed 2026-09-01). PMID 29395963 — https://pubmed.ncbi.nlm.nih.gov/29395963/ [peer-reviewed] [3] School Nurses' Perspectives on Components of Asthma Programs to Address Pediatric Disparities — Journal of Pediatric Psychology (published 2020-09-01; accessed 2026-09-01). PMID 32524136 — https://pubmed.ncbi.nlm.nih.gov/32524136/ [peer-reviewed] [4] Using Mobile Health to Improve Asthma Self-Management in Early Adolescence: A Pilot Randomized Controlled Trial — The Journal of Adolescent Health (published 2021-12, exact day not given in the PubMed record; accessed 2026-09-01). PMID 34274211 — https://pubmed.ncbi.nlm.nih.gov/34274211/ [peer-reviewed] [5] AeviceMD for Pediatric Asthma Management — ClinicalTrials.gov, sponsor Irina Dralyuk (record last updated 2026-04-28; status ACTIVE_NOT_RECRUITING, hasResults=false; accessed 2026-09-01). NCT06321471 — https://clinicaltrials.gov/study/NCT06321471 [trial-registry] [6] Developmental Trajectories and Influencing Factors of Inhaled Corticosteroid (ICS) Adherence in Pediatric Asthma Under a Remote Collaborative Management model-Latent Class Growth Analysis — Patient Preference and Adherence (published 2026, month not given in the PubMed record; accessed 2026-09-01). PMID 42183339 — https://pubmed.ncbi.nlm.nih.gov/42183339/ [peer-reviewed] [7] Development and Validation of a Questionnaire Measuring Treatment Burden in Pediatric Asthma — The Journal of Allergy and Clinical Immunology: In Practice (published 2026, month not given in the PubMed record; accessed 2026-09-01). PMID 41453687 — https://pubmed.ncbi.nlm.nih.gov/41453687/ [peer-reviewed] [8] Evaluation of a Remote Asthma Monitoring Program to Improve Health Outcomes in Pediatric Asthma — ClinicalTrials.gov, sponsor Weill Medical College of Cornell University (record last updated 2025-08-17; status TERMINATED, enrollment 12 ACTUAL, hasResults=false; accessed 2026-09-01). NCT05139485 — https://clinicaltrials.gov/study/NCT05139485 [trial-registry]
Well established: the general pattern — not the specific point estimates — that guideline-recommended monitoring and action-plan practices are inconsistently in place in routine pediatric asthma care, resting on two independent, non-affiliated US sources measuring it from opposite ends (clinician self-report and parent report) [1][2].
Thin: every specific quantity in the prescriber/decider section rests on one study each, even where the general direction is corroborated [1][2]; the operator role's caregiver-capability and home-broadband precondition rests on one sponsor's own registered eligibility criteria [5]; the adolescent self-management engagement figures rest on one 33-dyad pilot [4]; the peak-flow-meter-usage adherence finding rests on one single-clinic China-based cohort, flagged non-US [6]; the school-based action-plan-presence gap rests on one 33-nurse survey in one unnamed US school district [3]; the treatment-burden questionnaire's psychometrics rest on one study whose country is not stated in the retrieved abstract [7]; the language-based exclusion criterion rests on one sponsor's own registered protocol design [8].
Rescoped from class 3: "Would parents and children actually use a home peak-flow or spirometry monitoring device consistently?" is unanswerable directly; the nearest revealed-behaviour twins located this pass are (a) what medication-adherence trajectory groups, and what role peak-flow-meter usage played as a predictor of them, were actually measured under one remote collaborative-management cohort [6], and (b) what retention and daily engagement counts one structured adolescent self-management pilot actually achieved over 20 weeks [4]. "Would prescribing clinicians actually order and act on home-monitoring data?" is unanswerable directly; its twin — what fraction of primary care clinicians and specialists report currently performing the closest existing analogous behaviors, ordering home peak-flow monitoring and writing an action plan — is answered by [1].
Out of scope: CPT descriptor text (AMA-licensed, not reproduced); MAUDE device-complaint narratives (no connector reaches MAUDE); the CMS Medicare-oriented RPM eligibility text and CY2026 payment amounts, already sourced directly in the domain dossier's own reimbursement section and not re-derived here; any jurisdiction outside the US as this domain's own target population, though the China-based finding in [6] and the jurisdiction-uncertain finding in [7] are reported and flagged rather than omitted.
Not searched vs. not found: Not found this pass — a pediatric-asthma-specific study of practice-level purchasing, staffing, or billing-workflow burden for a home-monitoring program; three distinct query phrasings each returned zero relevant PubMed records (one returned a single, unrelated record on obstetric remote monitoring). Not searched this pass beyond a preliminary WebSearch — any primary state Medicaid regulation, state Medicaid bulletin, or named non-Cigna commercial payer policy specific to pediatric asthma home monitoring; the WebSearch surfaced only vendor and industry-tracker compilations, none of which was followed into as a source of record. Confirmed absent, not merely unsearched — this repo's own local HCPCS Level II cache: a direct connector check for "peak flow meter" and "spirometer" both returned an unconfirmed status because no cache file exists at the path this repo's data/README.md names.
[inference] That the two surveys in the prescriber/decider section corroborate each other despite measuring different populations by different methods (clinician self-report nationally versus a patient-advocacy network's parent survey) is this report's own reading; neither source cites or references the other. That the caregiver-capability, home-broadband, and English-or-Spanish eligibility criteria named in [5] and [8] generalize to commercial home-monitoring devices beyond the two specific pilot programs in which they were registered is also this report's own inference, not stated by either sponsor.
| Proposition | Evidence class | Resolvable identifier | Dossier section |
|---|---|---|---|
| In the 2012 National Asthma Survey of Physicians (n=1,412 primary care clinicians, n=233 asthma specialists), written asthma action plan adherence was 30.6% vs 16.4% (P<.001) and home peak-flow monitoring adherence was 12.8% vs 11.2% (P=.34) | 2 published | PMID 29408439 | 3 |
| In a survey of nearly 1,000 parents of asthmatic children affiliated with a US asthma patient-advocacy network, 60% of children were not cared for by an asthma specialist and nearly half lacked a written asthma action plan | 2 published | PMID 29395963 | 3 |
| In a survey of 33 school nurses in one US school district, nurses estimated that 12% of students with asthma had a written asthma action plan on file at school | 2 published | PMID 32524136 | 3 |
| In a pilot RCT of a dyadic mobile-health asthma self-management intervention (n=33 adolescent-caregiver dyads, ages 12-15), the active-intervention arm had 100% retention and a median of 21 (adolescent) and 32.65 (caregiver) engagement-days over 20 weeks, with a significant improvement in asthma control scores (P=.04) | 2 published | PMID 34274211 | 3 |
| NCT06321471 (AeviceMD for Pediatric Asthma Management) registers inclusion criteria requiring the caregiver be able to operate a mobile application and have home high-speed WiFi access | 1 registry | NCT06321471 | 3 |
| NCT05139485 (Weill Cornell pediatric remote asthma monitoring pilot) registers an exclusion criterion for any family whose primary language is neither English nor Spanish | 1 registry | NCT05139485 | 3 |
| A validated pediatric-asthma treatment-burden questionnaire (n=202 parent-child dyads, eight teaching hospitals) found higher burden scores associated with being female, having multiple scheduled visits, and poor asthma control, with parent-child score correlation r=0.33 (P<.01) | 2 published | PMID 41453687 | 3 |
| In a China-based remote collaborative-management cohort (n=249), peak-flow-meter usage was one of the factors significantly distinguishing the "Rapid Improvement" medication-adherence trajectory group from other groups | 2 published | PMID 42183339 | 3 |