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<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://data.lancashire.ac.uk/id/eprint/681'>
    <eprintid>681</eprintid>
    <rev_number>9</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>8084</userid>
    <dir>disk0/00/00/06/81</dir>
    <datestamp>2026-06-08 09:21:03</datestamp>
    <lastmod>2026-06-08 09:30:55</lastmod>
    <status_changed>2026-06-08 09:21:03</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Bifarin</family>
          <given>Oladayo</given>
        </name>
      </item>
      <item>
        <name>
          <family>Challinor</family>
          <given>Alexander</given>
        </name>
      </item>
      <item>
        <name>
          <family>Morasae</family>
          <given>Esmaeil Khedmati</given>
        </name>
      </item>
      <item>
        <name>
          <family>Bhandari</family>
          <given>Sadil</given>
        </name>
      </item>
      <item>
        <name>
          <family>Xavier</family>
          <given>Panchu</given>
        </name>
      </item>
      <item>
        <name>
          <family>Saini</family>
          <given>Pooja</given>
        </name>
      </item>
      <item>
        <name>
          <family>Nathan</family>
          <given>Rajan</given>
        </name>
      </item>
      <item>
        <name>
          <family>Berzins</family>
          <given>Kathryn</given>
        </name>
      </item>
    </creators>
    <title>From Root Cause Analysis to Systems Thinking: A Content Analysis Dataset of Patient Safety Incident Investigation Reports in Mental Healthcare</title>
    <ispublished>pub</ispublished>
    <subjects>
      <item>B990</item>
    </subjects>
    <divisions>
      <item>2023sub_H_T_A_U</item>
    </divisions>
    <keywords>Patient safety; systems thinking; root cause analysis; mental healthcare; content analysis; incident investigation</keywords>
    <abstract>This dataset comprises the structured coding frameworks and comparative content analysis matrices generated during a study of Patient Safety Incident Investigation (PSII) reports within mental healthcare services. The research evaluates the transition from traditional Root Cause Analysis (RCA) toward modern Systems Thinking frameworks. Because the source materials consist of highly confidential institutional patient safety incident records, the raw reports and complete internal text analyses are withheld to protect the legal anonymity of services and individuals. Summary analytical findings and frameworks are fully detailed in the associated publication: Bifarin et al. (2026) From Root Cause Analysis to Systems Thinking: A Comparative Content Analysis of Patient Safety Incident Investigation Reports in Mental Healthcare, Journal of Evaluation in Clinical Practice.</abstract>
    <date>2026-06-05</date>
    <date_type>published</date_type>
    <publisher>University of Lancashire</publisher>
    <id_number>10.17030/uclan.data.00000681</id_number>
    <official_url>https://doi.org/10.17030/uclan.data.00000681</official_url>
    <data_type>collection</data_type>
    <project_multi>
      <item>
        <funder_name>National Institute for Health Research</funder_name>
        <funder_id>http://dx.doi.org/10.13039/501100000272</funder_id>
      </item>
    </project_multi>
    <contact_email>rdmsupport@lancashire.ac.uk</contact_email>
    <contact_details>
      <role>Reader</role>
      <name>
        <family>Berzins</family>
        <given>Kathryn</given>
      </name>
      <id>KBerzins@lancashire.ac.uk</id>
    </contact_details>
    <related_res_rich>
      <item>
        <title>From Root Cause Analysis to Systems Thinking: A Comparative Content Analysis of Patient Safety Incident Investigation Reports in Mental Healthcare</title>
        <res_type>pub</res_type>
        <url>https://doi.org/10.1111/jep.70495</url>
        <clok_url>https://knowledge.lancashire.ac.uk/id/eprint/59451/</clok_url>
      </item>
    </related_res_rich>
    <collection_method>Content analysis matrices, coding frameworks, and institutional data summaries.</collection_method>
    <legal_ethical>Access restricted. Access to high-level anonymised analytical matrices may be requested through the corresponding author (Kathryn Berzins), subject to formal administrative and confidentiality permissions.</legal_ethical>
    <collection_date>
      <date_from>2022-01</date_from>
      <date_to>2023-01</date_to>
    </collection_date>
  </eprint>
</eprints>
