Evidence map›Paper›PMID 29049382›Full record

ArticlePloS one2017

Reaching the end of the line: Operational issues with implementing phone-based unannounced pill counts in resource-limited settings.

Yael Hirsch-Moverman, Camilla Burkot, Suzue Saito, Koen Frederix, Blanche Pitt, Zenebe Melaku, Tsigereda Gadisa, Andrea A Howard

Abstract read
In one paragraph

Article in PloS one, 2017. 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
–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

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

  1. Pooled it
  2. Review
  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

8 authors.

Yael Hirsch-MovermanICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.ORCID http://orcid.org/0000-0003-0096-1306
Camilla BurkotDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Suzue SaitoICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Koen FrederixICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Blanche PittICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Zenebe MelakuICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Tsigereda GadisaICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.
Andrea A HowardICAP, Mailman School of Public Health, Columbia University, New York, NY, United States of America.

Funding

A Combination Intervention Package for Isoniazid Preventive Therapy in EthiopiaR01AI100044 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOWARD, ANDREA ALLOCCO · 2012 to 2014
$1.7M
Preventing Childhood Tuberculosis in Lesotho (PREVENT Study)K01AI104351 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HIRSCH-MOVERMAN, YAEL R · 2014 to 2018
$635k
NIAID NIH HHS K01 AI104351NIAID NIH HHS R01 AI100044
6 · The paper itself

Abstract

introductionAccurate measurement of adherence is necessary to ensure that therapeutic outcomes can be attributed to the recommended treatment. Phone-based unannounced pill counts were shown to be feasible and reliable measures of adherence in developed settings; and have been further used as part of medication adherence interventions. However, it is not clear whether this method can be implemented successfully in resource-limited settings, where cellular network and mobile phone coverage may be low. Our objective is to describe operational issues surrounding the use of phone-based unannounced pill counts in Lesotho and Ethiopia.

methodsPhone-based monthly unannounced pill counts, using an adaptation of a standardized protocol from previous US-based studies, were utilized to measure anti-TB and antiretroviral medication adherence in two implementation science studies in resource-limited settings, START (Lesotho) and ENRICH (Ethiopia).

resultsIn START, 19.6% of calls were completed, with 71.9% of participants reached at least once; majority of failed call attempts were due to phones not being available (54.8%) or because participants were away from the pills (32.7%). In ENRICH, 33.5% of calls were completed, with 86.7% of participants reached at least once; the main reasons for failed call attempts were phones being switched off (31.5%), participants not answering (27.3%), participants' discomfort speaking on the phone (15.4%), and network problems (13.2%). Structural, facility-level, participant-level, and data collection challenges were encountered in these settings. DISCUSSION: Phone-based unannounced pill counts were found to be challenging, and response rates suboptimal. While some of these challenges were specific to local contexts, most of them are generalizable to resource-limited settings. In a research study context, a possible solution to ease operational challenges may be to focus phone-based unannounced pill count efforts on a randomly selected sample from participants who are provided with study phones and rigorously ensure that call attempts are made for these participants.

Indexed as

Cell PhoneDrug MonitoringHealth Care RationingAdultFemaleHumansMale

Identifiers

PMID29049382
PMCPMC5648117

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.