Evidence map›Paper›PMID 17997364›Full record

Trial reportContemporary clinical trials2008

Design, feasibility, and acceptability of an intervention using personal digital assistant-based self-monitoring in managing type 2 diabetes.

Mary Ann Sevick, Susan Zickmund, Mary Korytkowski, Beth Piraino, Susan Sereika, Shannon Mihalko, Linda Snetselaar, Phyllis Stumbo, Leslie Hausmann, Dianxu Ren and 6 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
6.9field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Determinants and the Role of Self-Efficacy in a Sodium-Reduction Trial in Hemodialysis Patients.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2019
    Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Personal digital assistant-based self-monitoring adherence rates in 2 dialysis dietary intervention pilot studies: BalanceWise-HD and BalanceWise-PD.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2011
    Trial
  11. Trial
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Dietary Sodium Intake in Type 2 Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 2014
    Article
  20. Review
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

16 authors at 6 institutions in 1 country.

Mary Ann SevickCenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, USA. sevick@pitt.edu
Susan Zickmund
Mary Korytkowski
Beth Piraino
Susan Sereika
Shannon Mihalko
Linda Snetselaar
Phyllis Stumbo
Leslie Hausmann
Dianxu Ren
Rita Marsh
Teresa Sakraida
Jolynn Gibson
Mehry Safaien
Terry J Starrett
Lora E Burke
University of Pittsburgh · USUniversity of Iowa · USUniversity of Pittsburgh Medical Center · USVA Pittsburgh Healthcare System · USUniversity of Colorado Denver · USWake Forest University · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
WITHIN SUBJ VARIABILITY IN MEASUREMENTS DRUG METABOL ENZYMES IN HLTY SUBJM01RR000056 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEVINE, ARTHUR S · 1985 to 2006
$29.2M
Enhancing Adherence in Type 2 DiabeticsR01NR008792 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SEVICK, MARY A · 2004 to 2008
$2.0M
NCATS NIH HHS UL1 TR000005NCRR NIH HHS M01 RR000056NCRR NIH HHS M01-RR000056NCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1-RR024153NINR NIH HHS R01 NR008792PHS HHS R01008792
6 · The paper itself

Abstract

backgroundThe information processing demands associated with behavioral self-management of diabetes are extensive. Pairing personal digital assistant (PDA)-based self-monitoring with a behavioral self-management intervention may improve adherence and patient outcomes.

methodsENHANCE is a randomized controlled trial to test an intervention designed to improve regimen adherence in adults with type 2 diabetes. The intervention, based on Social Cognitive Theory (SCT), is paired with PDA-based self-monitoring. In this paper we describe the: (a) manner in which PDA-based self-monitoring is integrated within the SCT-based intervention, (b) feasibility and acceptability of PDA-based dietary self-monitoring, and (c) issues encountered in teaching participants to self-monitor using a PDA.

resultsDuring the first 30 months of this 5-year study, 232 participants were screened and 151 were randomized. To date, 6 cohorts have completed the study. The retention rate is 85% (n=129). Of those randomized to the intervention (n=74) and completing the study (n=61), 88% reported understanding the usefulness of PDA-monitoring, 85% reported ease in entering foods into the device, 70% reported ease in interpreting feedback graphs, and 82% indicated that they would continue to use the PDA for self-monitoring after the study concluded. Assuming 3 meals per day, participants entered an average of 58% of their meals in their PDA, and 43% were entered assuming 4 meals per day. If we eliminate from the analysis those individuals who entered less than 10% of their expected meals (n=12), the average rate of self-monitoring was 69% assuming 3 meals per day, and 52% assuming 4 meals per day.

conclusionsPDA-based dietary monitoring is perceived by participants to be useful and acceptable. The approach used to instruct participants in use of the PDA and lessons learned are discussed. PDA technology shows promise as a tool for assisting those with type 2 diabetes in their efforts to manage their disease.

Indexed as

Computers, HandheldAdultBlood Glucose Self-MonitoringCounselingData DisplayDiabetes Mellitus, Type 2Diet RecordsEquipment DesignFeasibility StudiesHealth BehaviorHumansLife StyleMedical RecordsPatient SelectionResearch DesignSelf Care

Identifiers

PMID17997364
PMCPMC2701552
OpenAlexW2043239769

What OpenQuestion holds

Textmetadata
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.