Evidence map›Paper›PMID 42148431›Full record

ArticlePractice innovations (Washington, D.C.)2026

Integrating Digital Health Data into Clinical Practice: Perspectives and Practical Recommendations.

Marilyn L Piccirillo, Miriam Hehlmann, Julian Burger, Mila Hall, Saskia Scholten

Abstract read
In one paragraph

Article in Practice innovations (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marilyn L PiccirilloDivision of Addiction Psychiatry, Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA.
Miriam HehlmannDepartment of Adult Clinical Psychology and Psychotherapy, Osnabrück University, Osnabrück, Germany.
Julian BurgerDepartment of Psychology, Stony Brook University, Stony Brook, NY, USA.
Mila HallDepartment for Clinical Psychology and Psychotherapy, University of Trier, Trier, Germany.
Saskia ScholtenPain and Psychotherapy Research Lab, Department of Psychology, RPTU Kaiserslautern-Landau, Kaiserslautern, Germany.

Funding

Digital Phenotyping of Anxiety and Anxiety-Related Alcohol Comorbidity and TreatmentR00AA029459 · NIAAA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Marilyn Piccirillo · 2024 to 2026
$727k
NIAAA NIH HHS R00 AA029459
6 · The paper itself

Abstract

Digital health data or ambulatory assessment (AA) data collected using digital devices (e.g., smartphones, active watches, or other health-trackers) provides innovative opportunities for psychotherapists to assess symptoms, experiences, and psychotherapy processes outside of session, ultimately strengthening the precision of clinical assessment and increasing engagement in the psychotherapy process. However, much of the guidance on collecting and interpreting AA data is written for researchers and there are few guides written for clinical practitioners who may be interested in using AA data to inform their clinical practice. As clinical researchers and practitioners ourselves, we aim to increase interdisciplinary crosstalk by illustrating the benefits of integrating AA data into clinical practice using case examples. We offer practical recommendations for how psychotherapists might effectively use digital data. Specifically, we encourage psychotherapists to (1) co-create digital assessments that align with their client's goals, (2) consider which digital device (or assessment modality) may be best suited to measure their client's symptoms, experiences, or goals, and to (3) co-determine what constitutes 'meaningful change' for your client and their goals. We hope to inspire psychotherapists and to strengthen research-practice partnerships to advance the use of AA data as a tool for strengthening clinical practice, beyond the traditional boundaries of the treatment room.

Indexed as

Ambulatory assessmentClinical practiceDigital health dataImplementationPsychotherapy

Identifiers

PMID42148431
PMCPMC13178465

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.