<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://datacompass.lshtm.ac.uk/id/eprint/4695'>
    <eprintid>4695</eprintid>
    <rev_number>69</rev_number>
    <documents>
      <document id='https://datacompass.lshtm.ac.uk/id/document/18046'>
        <docid>18046</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/99196'>
            <fileid>99196</fileid>
            <datasetid>document</datasetid>
            <objectid>18046</objectid>
            <filename>participant_data.csv</filename>
            <mime_type>text/plain</mime_type>
            <hash>88f47ee9ba99d117b46e5557521bbb8b467b2f07d0d5aadb9e5301cfc41c0f70</hash>
            <hash_type>SHA256</hash_type>
            <filesize>72</filesize>
            <mtime>2025-06-19 17:19:17</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/4695/1/participant_data.csv</url>
          </file>
        </files>
        <eprintid>4695</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>text/plain</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>staffonly</security>
        <license>datasharingagreement</license>
        <main>participant_data.csv</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Participant-level baseline data</formatdesc>
      </document>
      <document id='https://datacompass.lshtm.ac.uk/id/document/18047'>
        <docid>18047</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/99198'>
            <fileid>99198</fileid>
            <datasetid>document</datasetid>
            <objectid>18047</objectid>
            <filename>doseday_data.csv</filename>
            <mime_type>text/plain</mime_type>
            <hash>1e4685f7d3f3060336517fcbbf664d5c4016c501af9d86d0481ee22204cfa33b</hash>
            <hash_type>SHA256</hash_type>
            <filesize>126</filesize>
            <mtime>2025-06-19 17:19:21</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/4695/2/doseday_data.csv</url>
          </file>
        </files>
        <eprintid>4695</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>text/plain</mime_type>
        <format>Dataset</format>
        <language>en</language>
        <security>staffonly</security>
        <license>datasharingagreement</license>
        <main>doseday_data.csv</main>
        <content>data</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Dose-day digital adherence technology engagement data (proxy for treatment adherence)</formatdesc>
      </document>
      <document id='https://datacompass.lshtm.ac.uk/id/document/18048'>
        <docid>18048</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://datacompass.lshtm.ac.uk/id/file/99200'>
            <fileid>99200</fileid>
            <datasetid>document</datasetid>
            <objectid>18048</objectid>
            <filename>Participant_doseday_data_codebook.html</filename>
            <mime_type>text/html</mime_type>
            <hash>00b0a9f02e815c3211c116fb3f47fbe5f6f5b5bbaacfd6faa5ccc8887983202f</hash>
            <hash_type>SHA256</hash_type>
            <filesize>8122</filesize>
            <mtime>2025-06-19 17:19:40</mtime>
            <url>https://datacompass.lshtm.ac.uk/id/eprint/4695/3/Participant_doseday_data_codebook.html</url>
          </file>
        </files>
        <eprintid>4695</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>text/html</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>Participant_doseday_data_codebook.html</main>
        <content>documentation</content>
        <retention_period>indefinite</retention_period>
        <formatdesc>Codebook for participant and dose day datasets</formatdesc>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>25</userid>
    <dir>disk0/00/00/46/95</dir>
    <datestamp>2025-06-23 09:24:14</datestamp>
    <lastmod>2025-11-26 10:06:46</lastmod>
    <status_changed>2025-06-23 09:24:14</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Fielding</family>
          <given>Katherine</given>
        </name>
        <orcid>0000-0002-6524-3754</orcid>
        <lshtm_flag>TRUE</lshtm_flag>
        <staffid>0aa3885fd6201076535210a253a38f98</staffid>
      </item>
      <item>
        <name>
          <family>Tadesse</family>
          <given>Amare W.</given>
        </name>
        <orcid>0000-0002-7805-3191</orcid>
        <lshtm_flag>TRUE</lshtm_flag>
        <staffid>fc5237b81dbb2adb668c8e1f1fb2a90e</staffid>
      </item>
      <item>
        <name>
          <family>Jerene</family>
          <given>Degu</given>
        </name>
        <orcid>0000-0001-7853-4211</orcid>
        <lshtm_flag>FALSE</lshtm_flag>
      </item>
    </creators>
    <corp_creators>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
      <item>KNCV Tuberculosis Foundation, The Hague, Netherlands</item>
      <item>The Aurum Institute, South Africa</item>
      <item>Organization for Appropriate Technology in Health, Kyiv, Ukraine</item>
      <item>National TB Program in the Philippines</item>
      <item>National TB Program in South Africa</item>
      <item>National TB and Leprosy Programme Tanzania</item>
      <item>National TB Program in Ukraine</item>
      <item>National TB Program in Ethiopia</item>
      <item>KNCV Tuberculosis Plus, Addis Ababa, Ethiopia</item>
      <item>KNCV Tuberculosis Foundation Manila, the Philippines</item>
      <item>KNCV Tuberculosis Foundation, Dar es Salaam, Tanzania</item>
    </corp_creators>
    <title>Data for: &quot;Engagement with digital adherence technologies among adults with drug-susceptible tuberculosis: data from cluster randomized trials in five countries&quot;</title>
    <divisions>
      <item>EPIH</item>
    </divisions>
    <keywords>
      <item>tuberculosis treatment</item>
      <item>Adherence</item>
      <item>digital health</item>
      <item>digital adherence technology</item>
    </keywords>
    <abstract>This dataset was produced as part of five pragmatic cluster-randomised trials, with health facilities (rayon in Ukraine) as the unit of randomisation, conducted in Ethiopia (trial registration: PACTR2020087766949990), Ukraine, Tanzania, South Africa, and the Philippines (trial registration four countries ISRCTN17706019). The trials enrolled adults starting treatment for drug-susceptible tuberculosis. The dataset consists of two data tables: a &quot;baseline&quot; table that lists participant characteristics collected at enrolment; and the &quot;doseday&quot; table containing data on daily treatment adherence based on a proxy of participant engagement with a digital adherence technology (either a smart pillbox or medications-labels/text). These data underpin analysis reported in a JMIR Public Health and Surveillance 2025 paper.</abstract>
    <date>2025-06-06</date>
    <date_type>completed</date_type>
    <publisher>London School of Hygiene &amp; Tropical Medicine</publisher>
    <id_number>10.17037/DATA.00004695</id_number>
    <data_type>Dataset</data_type>
    <copyright_holders>
      <item>London School of Hygiene &amp; Tropical Medicine, London, United Kingdom</item>
      <item>KNCV Tuberculosis Foundation, The Hague, Netherlands</item>
      <item>Unitaid</item>
    </copyright_holders>
    <research_centre>
      <item>XTEG</item>
      <item>XTBC</item>
    </research_centre>
    <collection_mode>
      <item>Observation.ComputerBased</item>
    </collection_mode>
    <barnard_cr>
      <item>18</item>
      <item>312</item>
      <item>177</item>
      <item>162</item>
      <item>224</item>
    </barnard_cr>
    <barnard_dc>
      <item>JC-JCK</item>
    </barnard_dc>
    <full_text_status>restricted</full_text_status>
    <place_of_pub>London, United Kingdom</place_of_pub>
    <funders>
      <item>Unitaid</item>
    </funders>
    <projects>
      <item>ASCENT Consortium</item>
    </projects>
    <resourcetype>
      <resourcetypegeneral>Dataset</resourcetypegeneral>
      <resourcetype>Quantitative</resourcetype>
    </resourcetype>
    <grant>2019-33-ASCENT</grant>
    <language>
      <item>en</item>
    </language>
    <collection_date>
      <date_from>2021-06-01</date_from>
      <date_to>2022-11-15</date_to>
    </collection_date>
    <repo_link>
      <item>
        <title>Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial</title>
        <link>https://researchonline.lshtm.ac.uk/id/eprint/4663607/</link>
      </item>
      <item>
        <title>Effectiveness of digital adherence technologies in improving tuberculosis treatment outcomes in four countries: a pragmatic cluster randomised trial protocol</title>
        <link>https://researchonline.lshtm.ac.uk/id/eprint/4669733/</link>
      </item>
      <item>
        <title>Engagement With Digital Adherence Technologies as Measures of Intervention Fidelity Among Adults With Drug-Susceptible Tuberculosis and Health Care Providers: Descriptive Analysis Using Data From Cluster-Randomized Trials in Five Countries</title>
        <link>https://researchonline.lshtm.ac.uk/id/eprint/4677016</link>
      </item>
    </repo_link>
    <funders_info>
      <item>
        <project>ASCENT Consortium</project>
        <funder_name>Unitaid</funder_name>
        <grant>2019-33-ASCENT</grant>
        <funder_id>https://unitaid.org/</funder_id>
      </item>
    </funders_info>
    <ukri_date_sub>2025-06-06</ukri_date_sub>
  </eprint>
</eprints>
