{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:13:49Z","timestamp":1787015629369,"version":"build-2736575974"},"reference-count":60,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:00:00Z","timestamp":1705536000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Clinical Nursing"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To determine the prevalence and clustering of NANDA\u2010International nursing diagnoses in patients assisted by pre\u2010hospital emergency teams.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Retrospective descriptive study of electronic record review.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Episodes recorded during 2019, including at least a nursing diagnosis, were recovered from the electronic health records of a Spanish public emergency agency (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u200928,847). Descriptive statistics were used to characterize the sample and determine prevalence. A two\u2010step cluster analysis was used to group nursing diagnoses. A comparison between clusters in sociodemographic and medical problems was performed. Data were accessed in November 2020.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Risk for falls (00155) (27.3%), Anxiety (00146) (23.2%), Acute pain (00132), Fear (00148) and Ineffective breathing pattern (00032) represented 96.1% of all recorded diagnoses. A six\u2010cluster solution (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200926.788) was found. Five clusters had a single high\u2010prevalence diagnosis predominance: Risk for falls (00155) in cluster 1, Anxiety (00146) in cluster 2, Fear (00148) in cluster 3, Acute pain (00132) in cluster 4 and Ineffective breathing pattern (00032) in cluster 6. Cluster 5 had several high prevalence diagnoses which co\u2010occurred: Risk for unstable blood glucose level (00179), Ineffective coping (00069), Ineffective health management (00078), Impaired comfort (00214) and Impaired verbal communication (00051).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Five nursing diagnoses accounted for almost the entire prevalence. The identified clusters showed that pre\u2010hospital patients present six patterns of nursing diagnoses. Five clusters were predominated by a predominant nursing diagnosis related to patient safety, coping, comfort, and activity\/rest, respectively. The sixth cluster grouped several nursing diagnoses applicable to exacerbations of chronic diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Implications for the profession and\/or patient care<\/jats:title>\n                    <jats:p>Knowing the prevalence and clustering of nursing diagnoses allows a better understanding of the human responses of patients attended by pre\u2010hospital emergency teams and increases the evidence of individualized\/standardized care plans in the pre\u2010hospital clinical setting.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Impact<\/jats:title>\n                    <jats:p>\n                      What problem did the study address?\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>There are different models of pre\u2010hospital emergency care services.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The use of standardized nursing languages in the pre\u2010hospital setting is not homogeneous.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Studies on NANDA\u2010I nursing diagnoses in the pre\u2010hospital context are scarce, and those available are conducted on small samples.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                    <jats:p>\n                      What were the main findings?\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>This paper reports the study with the largest sample among the few published on NANDA\u2010I nursing diagnoses in the pre\u2010hospital care setting.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Five nursing diagnoses represented 96.1% of all recorded. These diagnoses were related to patients' safety\/protection and coping\/stress tolerance.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Patients attended by pre\u2010hospital care teams are grouped into six clusters based on the nursing diagnoses, and this classification is independent of the medical conditions the patient suffers.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                    <jats:p>Where and on whom will the research have an impact?<\/jats:p>\n                    <jats:p>Knowing the prevalence of nursing diagnoses allows a better understanding of the human responses of patients treated in the pre\u2010hospital setting, increasing the evidence of individualized and standardized care plans for pre\u2010hospital care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Reporting method<\/jats:title>\n                    <jats:p>STROBE checklist has been used as a reporting method.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>No Patient or Public Contribution<\/jats:title>\n                    <jats:p>Only patients' records were reviewed without further involvement.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jocn.16996","type":"journal-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T04:09:28Z","timestamp":1705550968000},"page":"3128-3144","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Prevalence and clustering of NANDA\u2010I nursing diagnoses in the pre\u2010hospital emergency care setting: A retrospective records review study"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8227-9161","authenticated-orcid":false,"given":"Jos\u00e9 Manuel","family":"Romero\u2010S\u00e1nchez","sequence":"first","affiliation":[{"name":"Nursing and Physiotherapy Department, Faculty of Nursing and Physiotherapy Universidad de C\u00e1diz  C\u00e1diz Spain"},{"name":"Biomedical Research and Innovation Institute of Cadiz (INiBICA)  C\u00e1diz Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6585-9367","authenticated-orcid":false,"given":"C\u00e9sar Pedro","family":"S\u00e1nchez\u2010Almagro","sequence":"additional","affiliation":[{"name":"Medical Emergency Center 061 (CES 061), Andalusian Health Service, Provincial Service 061 in C\u00e1diz, Regional Government of Andalusia  C\u00e1diz Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melanie","family":"White\u2010R\u00edos","sequence":"additional","affiliation":[{"name":"Hospital Punta de Europa Andalusian Health Service  Algeciras, C\u00e1diz Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4225-9307","authenticated-orcid":false,"given":"Olga","family":"Paloma\u2010Castro","sequence":"additional","affiliation":[{"name":"Nursing and Physiotherapy Department, Faculty of Nursing and Physiotherapy Universidad de C\u00e1diz  C\u00e1diz Spain"},{"name":"Biomedical Research and Innovation Institute of Cadiz (INiBICA)  C\u00e1diz Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,1,18]]},"reference":[{"key":"e_1_2_15_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ienj.2011.03.001"},{"key":"e_1_2_15_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ienj.2016.12.001"},{"key":"e_1_2_15_4_1","volume-title":"SPSS TwoStep Cluster\u2010a first evaluation","author":"Bacher J.","year":"2004"},{"key":"e_1_2_15_5_1","unstructured":"Bocanegra\u2010P\u00e9rez A. 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