2016
DOI: 10.1111/jan.12999
|View full text |Cite
|
Sign up to set email alerts
|

Clinical validation of the nursing diagnosis of dysfunctional family processes related to alcoholism

Abstract: Eighteen clinical indicators showed a high capacity for diagnostic screening for alcoholics (high sensitivity) and six indicators can be used for confirmatory diagnosis (high specificity).

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
5
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 37 publications
0
5
0
Order By: Relevance
“…From our first observation, patient and caregiver in this dyad do not seem to behave the same way as dyads in other medical conditions. This could be due to a sum of factors typical of the liver transplantation process: uncertainty, fear of being rejected from the listing status (Goetzinger et al, 2012), and tendency to manipulation in patients with alcohol problems (Carnrike, 1997; Mangueira and Lopes, 2016). Nonetheless, these results support the presence of a transactional effect among patient-caregiver dyads (Bidwell et al, 2017) and with it the importance to evaluate the dyad through different and interconnected tools.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…From our first observation, patient and caregiver in this dyad do not seem to behave the same way as dyads in other medical conditions. This could be due to a sum of factors typical of the liver transplantation process: uncertainty, fear of being rejected from the listing status (Goetzinger et al, 2012), and tendency to manipulation in patients with alcohol problems (Carnrike, 1997; Mangueira and Lopes, 2016). Nonetheless, these results support the presence of a transactional effect among patient-caregiver dyads (Bidwell et al, 2017) and with it the importance to evaluate the dyad through different and interconnected tools.…”
Section: Discussionmentioning
confidence: 99%
“…From the diagnosis of organ failure to the operation, transplant recipients go through an articulated process, which is known to be psychologically and physically fatiguing both for them (Kimbell et al, 2015) and their informal caregivers (Cohen et al, 2007; Rodrigue et al, 2010, 2011; Goetzinger et al, 2012). Although substance-abuse-related liver disease and associated risky behavior are already linked to long-standing family conflicts and subsequent deterioration in relationships (Mangueira and Lopes, 2016; Hansen et al, 2017; Le et al, 2019), other types of liver disease may also change the patient’s mood and behavior, thus making the patient becomes less lucid and, occasionally, more aggressive (Jim et al, 2014). Lower income level, unemployment, and living with spouse are positively associated with having depression in patients suffering from chronic hepatitis B (Vu et al, 2019a).…”
Section: Introductionmentioning
confidence: 99%
“…Nine studies used the accuracy method [7][8][9][10][11][12][13][14][15] for clinical validation of the studied phenomena. Of these, six (35.29%) used the latent classes analysis as a statistical approach [7][8][9][10][11][12] and the other three (17.64%) used the accuracy measures. [13][14][15] Accuracy represents the ability of a given test to correctly point out whether or not an individual has the disease.…”
Section: Discussionmentioning
confidence: 99%
“…The nursing diagnosis provides the basis for selecting nursing interventions aimed at individual and specific causes to achieve patient outcomes within the scope of professional nursing accountability (Herdman & Kamitsuru, 2017; Juve‐Udina, 2013). Because nurses should primarily intervene to remove the underlying antecedents of the diagnoses (i.e., predisposing, disabling, precipitating, or reinforcing factors) (de Oliveira Lopes et al., 2017), these diagnostic indicators have been objects of numerous studies, along with the essential diagnostic attributes (Ferreira et al., 2020; Mangueira Sde & Lopes, 2016; Neves da Costa et al., 2020; Paganin & Rabelo, 2013; Santos et al., 2020; Silva et al., 2020). Moreover, the systematic inclusion of nursing diagnoses in electronic health records have been shown to enhance the predictive ability of clinical data regarding length of hospital stay, in‐hospital mortality and use of healthcare resources (Company‐Sancho et al., 2017; D'Agostino et al., 2019; Sanson et al., 2019; Sanson et al, 2017).…”
Section: Introductionmentioning
confidence: 99%