Review of nursing diagnosis validation studies: caregiver role strain

Lourenço, Tânia; Abreu-Figueiredo, Rita Maria Sousa; Sá, Luís

doi:10.1590/1983-1447.2020.20190370

Cited by 4 publications

(4 citation statements)

References 42 publications

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“…The exercise of clinical reasoning aids diagnostic accuracy and enables adequate targeting of nursing interventions to achieve better health goals (Freitas & Conceição, 2018). The synthesis of knowledge, proposed in this protocol will facilitate the nurse's clinical judgment (Lourenço et al, 2020), and the decision-making regarding the instrument or scale for insomnia.…”

Section: Resultsmentioning

confidence: 99%

Assessment and diagnosis of insomnia for clinical and research practice: a scoping review protocol

Szpalher

Cardoso

Silva

et al. 2021

RSD

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Insomnia is one of the leading sleep disorders, affecting different age groups, influencing individual’s ability to perform daily life activities, and ultimately diminishing their quality of life. This scoping review aims to identify instruments applied for the diagnosis of insomnia in clinical and research settings to support the nursing process and the decision-making. This review is based on the scope review framework proposed by Peters et al. (2020). The research strategy outlined aims to find studies published in the CINAHL (EBSCOhost) electronic database, Scopus, PubMed and WoS Portals. Grey literature will be accessed through free search via Google and Google Scholar, CAPES Thesis Repository, the Organizations Sleep Brazilian Association and World Sleep Society. This scope review is expected to assist nurses in the clinical reasoning process for identifying Nursing Diagnosis “insomnia”. In addition to the contribution to the research area, a proposal to include an insomnia assessment instrument(s) as diagnostic indicators in the NANDA-I taxonomy is planned. It should be noted the low volume of publications of scope review protocols. This protocol has been registered with the Open Science Framework under DOI 10.17605/OSF.IO/8MRPG.

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Section: Resultsmentioning

confidence: 99%

Assessment and diagnosis of insomnia for clinical and research practice: a scoping review protocol

Szpalher

Cardoso

Silva

et al. 2021

RSD

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“…Thus, studies of diagnostic accuracy are essential to identify a set of DCs and to evaluate the relationship of these indicators with diagnostic hypotheses in the most diverse health contexts. In this sense, the knowledge of clinical indicators that have better predictability for a given nursing diagnosis favors nurses to assertively targeting conducts and decision making in care practice, which implies achieving good nursing outcomes (Lourenço et al., 2020; Silva et al., 2020).…”

Section: Discussionmentioning

confidence: 99%

“…"Inattentive to diseases symptoms," "inattentive to diseases signs," and "exhibits disease sequelae" were characteristics with specificity close to or equal to 1, suggesting that these characteristics behave as confirmatory indicators of the presence of Ineffective health self-management. given nursing diagnosis favors nurses to assertively targeting conducts and decision making in care practice, which implies achieving good nursing outcomes (Lourenço et al, 2020;.…”

Section: Methodsmentioning

confidence: 99%

Clinical validation of the nursing diagnosis “Ineffective health self‐management” in people living with HIV

Júnior

Rabêlo

Lopes

et al. 2022

Int J of Nursing Knowl

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Objective Check diagnostic accuracy of the defining characteristics of the nursing diagnosis “Ineffective health self‐management” in people living with HIV. Methods Methodological study conducted in a specialized public service for people living with HIV in Northeastern Brazil, between February and April 2021, with a sample of 203 people. Latent class analysis was used to calculate the accuracy measurements of the defining characteristics, as well as the sensitivity and specificity values with their respective 95% confidence intervals. The likelihood ratio test (G2) was applied to evaluate the adequacy of the fit of the models obtained (p > 0.05). Results The prevalence of Ineffective health self‐management estimated through the latent class model was 67.5%. “Exacerbation of diseases symptoms,” “failure to take action that reduces risk factor,” “exacerbation of diseases signs,” and “ineffective choices in daily living for meeting health goal” had the highest sensitivity values (0.80–0.9429). “Exhibits disease sequelae,” “inattentive to diseases signs,” and “inattentive to disease symptoms” had the highest specificity values (0.9999–1.0000). Conclusions The useful characteristics for discriminating PLHIV with and without diagnosis are “exacerbation of diseases symptoms,” “failure to take action that reduces risk factor,” “exacerbation of diseases signs,” and “ineffective choices in daily living for meeting health goal.” The diagnosis can be confirmed by the indicators “exhibits disease sequelae”, “inattentive to diseases signs,” and “inattentive to disease symptoms.” Implications for nursing practices The study demonstrates the levels of importance of the defining characteristics of “Ineffective health self‐management” in people living with HIV contributes to suspicion and accurate diagnostic identification of nurses and researchers.

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“…Although it has undergone several changes aimed at improving it, it still maintains a high number of defining characteristics and related factors, which can hinder its use. In a previous integrative review, it was found that, although seven validation studies (content/clinical) of the diagnosis had already been carried out, none of them was conducted among caregivers of patients in need of palliative care 12 .…”

Section: Introductionmentioning

confidence: 99%

Clinical Validation of the Nanda-I "Caregiver Role Strain" Nursing Diagnosis in the Context of Palliative Care

Lourenço

Abreu-Figueiredo

Sá

2021

Texto contexto - enferm.

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Objective: to clinically validate the defining characteristics of the “Caregiver Role Strain” Nursing diagnosis for caregivers of people in a palliative care situation. Method: a cross-sectional, quantitative, descriptive and analytical study. It was developed based on Fehring's Clinical Validation Model and on the diagnostic accuracy measures (sensitivity, specificity, predictive values and Receiver Operating Characteristic curve). The data collection instrument used was a form, applied in 2017 by two nurses to a sample of 111 caregivers of people in a palliative care situation, in Portugal. The caregivers were divided into two groups (with and without the diagnosis), being identified by the simultaneity of three criteria, namely: Zarit Burden Interview values greater than 56; agreement of two nurses about the diagnosis; and caregiver's perception of the presence of signs and symptoms. The defining characteristics were classified as major, secondary and irrelevant, according to the models used. Results: the prevalence of diagnosis was 42.3%. Of the 29 characteristics subjected to the validation process, 9 were considered major, 13 secondary and 7 irrelevant. Ineffective coping, depressive mood, frustration, worsening of previous diseases, stress and fatigue were the characteristics which proved to be more associated with the diagnosis in both analyses. The overall score of the diagnosis was 0.68. Conclusion: the study results contribute to the improvement of the diagnosis, making it more accurate. In addition, they enable better clinical decision in Nursing, allowing nurses to make a diagnostic judgment supported by scientific evidence.

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Review of nursing diagnosis validation studies: caregiver role strain

Cited by 4 publications

References 42 publications

Assessment and diagnosis of insomnia for clinical and research practice: a scoping review protocol

Assessment and diagnosis of insomnia for clinical and research practice: a scoping review protocol

Clinical validation of the nursing diagnosis “Ineffective health self‐management” in people living with HIV

Clinical Validation of the Nanda-I "Caregiver Role Strain" Nursing Diagnosis in the Context of Palliative Care

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