scholarly journals Personality disorders in older adults: expert opinion as a first step toward evaluating the criterion validity of an informant questionnaire (HAP)

2013 ◽  
Vol 26 (1) ◽  
pp. 173-174 ◽  
Author(s):  
H.P.J. Barendse ◽  
G. Rossi ◽  
S.P.J. Van Alphen

There is a lack of validated questionnaires for screening personality disorders (PDs) in older adults (e.g. Van Alphen et al., 2012). The development of measurement instruments is hampered because the criteria of DSM-IV-TR PD are not age-neutral that might lead to over- and underdiagnosis (Balsis et al., 2007). As far as we know only three measurement instruments have been specifically developed for older adults, including the Hetero- Anamnestic Personality questionnaire (HAP; Barendse et al., 2013). However, we did not find any articles concerning the criterion validity of all ten PDs in an elderly population. In this Delphi study, a panel of experts examined two research questions: (1) To what extend are the items of the HAP age-neutral? (2) Does the HAP detect all ten specific PD's of DSM-IV-TR, based on qualitative research?

GeroPsych ◽  
2021 ◽  
pp. 1-9
Author(s):  
Ashley Wu ◽  
Dimitry Francois

Abstract. Personality disorders (PDs) affect a significant portion of older adults and hinder their physical and mental health. This narrative review (1) reviews the literature on PDs in older adults and (2) presents guidelines for clinicians in recognizing and managing this population. The presentation of Cluster A or C patients may remain stable or intensify, while Cluster B patients may shift to subtler presentations. Among assessment instruments, the Hetero-Anamnestic Personality Questionnaire is most promising, as it is age-specific and dimensional. Psychotherapies such as dialectical behavior therapy and schema-based therapy may be effective treatments. However, there remains a pressing need to conduct more comprehensive and focused research on PDs in older adults.


2020 ◽  
Vol 32 (4) ◽  
pp. 463-471
Author(s):  
Linda A. E. Laheij-Rooijakkers ◽  
Paul T. van der Heijden ◽  
Arjan C. Videler ◽  
Daniel L. Segal ◽  
Sebastiaan P. J. van Alphen

ABSTRACTObjectives:Current guidelines recommend highly specialized care for patients with severe personality disorders (PDs). However, there is little knowledge about how to detect older patients with severe PDs. The aim of the current study was to develop an age-specific tool to detect older adults with severe PDs for highly specialized mental health care.Design:In a Delphi study, a tool to detect adults with severe PDs for highly specialized mental health care was adjusted for older adults based on expert opinion. Subsequently, the psychometric properties of the age-specific tool were evaluated.Setting:The psychometric part of the study was performed in two Dutch highly specialized centers for PDs in older adults.Participants:Patients (N = 90) from two highly specialized centers on PDs in older adults were enrolled.Measurements:The age-specific tool was evaluated using clinical judgment as the gold standard.Results:The Delphi study resulted in an age-specific tool, consisting of seven items to detect older adults with severe PDs for highly specialized mental health care. Psychometric properties of this tool were evaluated. Receiver operating curve analysis showed that the questionnaire was characterized by sufficient diagnostic accuracy. Internal consistency of the tool was sufficient and inter-rater reliability was moderate.Conclusions:An age-specific tool to detect older adults with severe PDs was developed based on expert opinion. Psychometric properties were evaluated showing sufficient diagnostic accuracy. The tool may preliminarily be used in mental health care to detect older adults with severe PDs to refer them to highly specialized care in an early phase.


2016 ◽  
Vol 20 (12) ◽  
pp. 1056-1065 ◽  
Author(s):  
Christian P. Jacob ◽  
Silke Gross-Lesch ◽  
Susanne Reichert ◽  
Julia Geissler ◽  
Thomas Jans ◽  
...  

Objective: Despite growing awareness of adult ADHD and its comorbidity with personality disorders (PDs), little is known about sex- and subtype-related differences. Method: In all, 910 patients (452 females, 458 males) affected with persistent adult ADHD were assessed for comorbid PDs with the Structured Clinical Interview of DSM-IV and for personality traits with the revised NEO personality inventory, and the Tridimensional Personality Questionnaire. Results: The most prevalent PDs were narcissistic PD in males and histrionic PD in females. Affected females showed higher Neuroticism, Openness to Experience, and Agreeableness scores as well as Harm Avoidance and Reward Dependence scores. Narcissistic PD and antisocial PD have the highest prevalence in the H-type, while Borderline PD is more frequent in the C-type. Conclusion: Sex- and subtype-related differences in Axis II disorder comorbidity as well as impairment-modifying personality traits have to be taken into account in epidemiological studies of persistent ADHD.


GeroPsych ◽  
2019 ◽  
Vol 32 (3) ◽  
pp. 145-151
Author(s):  
Mahshid Foroughan ◽  
Zahra Jafari ◽  
Ida Ghaemmagham Farahani ◽  
Vahid Rashedi

Abstract. This study examines the psychometric properties of the IQCODE and its applicability in the Iranian elderly population. A group of 95 elderly patients with at least 4 years of formal education who fulfilled the criteria of DSM-IV-TR for dementia were examined by the MMSE and the AMTs. The Farsi version of the IQCODE was subsequently administered to their primary caregivers. Results showed a significant correlation ( p = .01) between the score of the questionnaire and the results of the MMSE ( r = −0.647) and AMTs ( r = −0.641). A high internal reliability of the questionnaire was confirmed by Cronbach’s alpha coefficient (α = 0.927) and test-retest reliability by correlation coefficient ( r = 0.81). This study found that the IQCODE has acceptable psychometric properties and can be used for evaluating the cognitive state in the elderly population of Iran.


2008 ◽  
Author(s):  
Steven K. Huprich ◽  
Thomas A. Schmitt ◽  
Iwona Chelminski ◽  
Mark Zimmerman

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