Evidence map›Paper›PMID 29135321›Full record

ArticleHealth communication2019

Interactivity, Presence, and Targeted Patient Care: Mapping e-Health Intervention Effects Over Time for Cancer Patients with Depression.

Sojung Claire Kim, Bret R Shaw, Dhavan V Shah, Robert P Hawkins, Suzanne Pingree, Fiona M McTavish, David H Gustafson

Open access · greenAbstract read
In one paragraph

Article in Health communication, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Electronic Health Interventions for Patients With Breast Cancer: Systematic Review and Meta-Analyses.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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

7 authors at 2 institutions in 1 country.

Sojung Claire Kima Department of Communication , George Mason University.ORCID 0000-0002-9622-3035
Bret R Shawb Department of Life Sciences Communication , University of Wisconsin-Madison.
Dhavan V Shahc School of Journalism and Mass Communication, Center for Health Enhancement Systems Studies , University of Wisconsin-Madison.
Robert P Hawkinsc School of Journalism and Mass Communication, Center for Health Enhancement Systems Studies , University of Wisconsin-Madison.
Suzanne Pingreeb Department of Life Sciences Communication , University of Wisconsin-Madison.
Fiona M McTavishd Center for Health Enhancement Systems Studies , University of Wisconsin-Madison.
David H Gustafsone Department of Industrial and Systems Engineering, Center for Health Enhancement Systems Studies , University of Wisconsin-Madison.
University of Wisconsin–Madison · USGeorge Mason University · US

Funding

Using Technology to Enhance Cancer Communication and Improve Clinical OutcomesP50CA095817 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H · 2003 to 2012
$19.3M
Heart-Related Multiple Chronic Conditions in Primary Care: Behavioral TechnologyR01HL134146 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H, MAHONEY, JANE E · 2017 to 2021
$4.2M
NCI NIH HHS P50 CA095817NHLBI NIH HHS R01 HL134146
6 · The paper itself

Abstract

This study examined the interplay of depression and different types of e-health interventions on breast cancer patients' perceived healthcare competence, emotional processing, and social well-being over time. The three e-health interventions--Internet Only as a control condition, CHESS (Comprehensive Health Enhancement Support System) Only, and CHESS with a Human Mentor, a cancer information specialist--provided varying degrees of interactivity and presence. A total of 328 women with breast cancer participated in one of the three interventions for a 6-month period. Women were further split into two groups based on reported levels of depression. For perceived healthcare competence and social well-being, results revealed significant interaction effects for intervention type by depression over time, such that breast cancer patients with higher levels of depression benefited most from the CHESS with Mentor intervention over the 6-month study period. For emotional processing, depressed cancer patients benefited more from the CHESS with Mentor than the other two interventions, regardless of time. These findings have (a) theoretical implications on how mental health factors can intersect with interactivity and presence to influence psychosocial outcomes, (b) conceptual implications for the role of human interaction within e-health systems, and (c) practical implications for the development of e-health interventions for cancer patients with depression.

Indexed as

Patient CareSocial SupportTelemedicineBreast NeoplasmsDepressionFemaleHumansMiddle AgedQuality of Life

Identifiers

PMID29135321
PMCPMC6158118
OpenAlexW2770817309

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.