nursing informatics

Survey says...

NLM - Nursing Informatics - Wed, 2018-01-24 17:37
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Survey says...

Can Nurse. 2017 May-Jun;113(3):2

Authors: Bourgeois M

PMID: 29235782 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

The concurrent validity of a new eDiagnostic system for mental disorders in primary care.

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The concurrent validity of a new eDiagnostic system for mental disorders in primary care.

Fam Pract. 2016 Dec;33(6):607-616

Authors: Dijksman I, Dinant GJ, Spigt M

Abstract
BACKGROUND: An eDiagnostic system was implemented to classify mental disorders, to support general practitioners.
OBJECTIVE: Assessing the validity of the system, compared to the psychologists' judgment.
METHODS: Concurrent validity, using routinely collected data of 675 primary care patients with a suspicion of a mental disorder in the Netherlands. Four psychologists classified the patients according to the DSM-IV. Hundred records were randomly selected to investigate the inter-rater reliability among psychologists. To investigate the concurrent validity of the system the sensitivity, specificity, positive predictive values (PPVs), negative predictive values (NPVs) and Cohen's ?-values (?-values) were calculated.
RESULTS: Inter-rater agreement between psychologists were fair to good or excellent. The system could correctly estimate the echelon (sensitivity range: 0.85-0.95, specificity range: 0.88-0.98) and correctly identify most Axis I classifications (sensitivity: 0.46-1.00, specificity: 0.75-0.99), except for Asperger's, sexual and adjustment disorders (sensitivity: 0.10-0.24, specificity: 0.97-0.99). It could determine the absence of a personality disorder (sensitivity: 0.81, specificity: 0.84, PPV: 0.77, NPV: 0.87 and ?-value: 0.65). The sensitivities and specificities for most specific personality disorders were good, but the PPVs for several specific Axis II classifications were low (PPV range: 0.06-0.77). The system was inaccurate in identifying the global assessment of functioning of patients (e.g. ?-values varied from 0.17-0.46).
CONCLUSIONS: Generally, the system can be seen as a valid instrument for most DSM-IV classifications in primary care patients. It could assist healthcare professionals in the assessment and classification of mental disorders. Future research should include comparison to an independently administered structured clinical interview.

PMID: 27515416 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

ALL THINGS DIGITAL.

NLM - Nursing Informatics - Fri, 2018-01-19 17:16
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ALL THINGS DIGITAL.

Aust Nurs Midwifery J. 2016 Sep;24(3):13

Authors: Reeves J

Abstract
Recently I attend the Nursing Informatics Australia annual conference in Melbourne. The theme of the conference was the role of the nurse in digital health innovation for consumers, clinicians, connectivity and community.

PMID: 29243463 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nurses' Perception of Challenges in the Use of an Electronic Nursing Documentation System.

NLM - Nursing Informatics - Tue, 2018-01-09 17:02
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Nurses' Perception of Challenges in the Use of an Electronic Nursing Documentation System.

Comput Inform Nurs. 2017 Nov;35(11):599-605

Authors: Heidarizadeh K, Rassouli M, Manoochehri H, Zagheri Tafreshi M, Kashef Ghorbanpour R

Abstract
This qualitative study was based on the Technology Acceptance Model and conducted through directed content analysis to explore perceptions of nurses in Iran of the challenges of using an electronic documentation system. Participants were selected through purposive sampling via interview from a teaching hospital in western Iran. Data were analyzed using MAXQDA 10. Data consistency was ensured through validation methods and by the researcher's prolonged engagement in the subject. Twelve codes, four subcategories, and two main categories ("perceived usefulness" and "perceived difficulty") emerged from the analysis of the data based on the Technology Acceptance Model. "Perceived usefulness" consisted of the subcategories "subjective norms" and "experienced benefits"; and "perceived difficulty" contained the subcategories "rationalization" as well as "challenges in accepting change." According to the Technology Acceptance Model, to promote acceptance of this system, the benefits of usage should be highlighted. The biggest hurdle to acceptance is familiarity and comfort with previous methods.

PMID: 28471763 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

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