Evidence map›Paper›PMID 26484851›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016

Strategies to Maximize Data Collection Response Rates in a Randomized Control Trial Focused on Children with Medical Complexity.

Stanley M Finkelstein, Margaret Celebrezze, Rhonda Cady, Scott Lunos, Wendy S Looman

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. The Impact of Telehealth and Care Coordination on the Number and Type of Clinical Visits for Children With Medical Complexity.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    Trial
  3. 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

5 authors.

Stanley M Finkelstein1 Department of Laboratory Medicine and Pathology/Health Informatics, University of Minnesota , Minneapolis, Minnesota.
Margaret Celebrezze1 Department of Laboratory Medicine and Pathology/Health Informatics, University of Minnesota , Minneapolis, Minnesota.
Rhonda Cady1 Department of Laboratory Medicine and Pathology/Health Informatics, University of Minnesota , Minneapolis, Minnesota.
Scott Lunos4 Clinical and Translational Science Institute, University of Minnesota , Minneapolis, Minnesota.
Wendy S Looman2 School of Nursing, University of Minnesota , Minneapolis, Minnesota.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Telehealth nursing intervention for children with complex health care needsR01NR010883 · NINR · UNIVERSITY OF MINNESOTA · PI FINKELSTEIN, STANLEY M · 2009 to 2012
$2.0M
Antibiotic Prescribing for Acute Respiratory Infections: Impact of Shifts in CareR21AI097759 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MEHROTRA, ATEEV · 2012 to 2013
$560k
NCATS NIH HHS UL1 TR002494NIAID NIH HHS R21 AI097759-01NINR NIH HHS R01 NR010883
6 · The paper itself

Abstract

introductionObtaining complete and timely subject data is key to the success of clinical trials, particularly for studies requiring data collected from subjects at home or other remote sites. A multifaceted strategy for data collection in a randomized controlled trial (RCT) focused on care coordination for children with medical complexity is described. The influences of data collection mode, incentives, and study group membership on subject response patterns are analyzed. Data collection included monthly healthcare service utilization (HCSU) calendars and annual surveys focused on care coordination outcomes. MATERIALS AND

methodsOne hundred sixty-three families were enrolled in the 30-month TeleFamilies RCT. Subjects were 2-15 years of age at enrollment. HCSU data were collected by parent/guardian self-report using mail, e-mail, telephone, or texting. Surveys were collected by mail. Incentives were provided for completed surveys after 8 months to improve collection returns. Outcome measures were the number of HCSU calendars and surveys returned, the return interval, data collection mode, and incentive impact.

resultsReturn rates of 90% for HCSU calendars and 82% for annual surveys were achieved. Mean return intervals were 72 and 65 days for HCSU and surveys, respectively. Survey response increased from 55% to 95% after introduction of a gift card and added research staff.

conclusionsHigh return rates for HCSU calendars and health-related surveys are attainable but required a flexible and personnel-intensive approach to collection methods. Family preference for data collection approach should be obtained at enrollment, should be modified as needed, and requires flexible options, training, intensive staff/family interaction, and patience.

Indexed as

Children with DisabilitiesContinuity of Patient CareData CollectionHealth ServicesTelemedicineAdolescentChildChild, PreschoolComorbidityFemaleHome Care ServicesHospitals, PediatricHumansMaleMonitoring, AmbulatorySurveys and Questionnaireshome health monitoringinformation managementtelehealthtelenursing

Identifiers

PMID26484851
PMCPMC4817571

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.