Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 4/2013

01-05-2013

Measurement of individualised quality of life amongst young people with indicated personality disorder during emerging adulthood using the SEIQoL-DW

Auteurs: Paul Farrand, Joanne Woodford

Gepubliceerd in: Quality of Life Research | Uitgave 4/2013

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

To examine both the feasibility of applying the Schedule for the Evaluation of Individual Quality of Life—Direct Weighting procedure (SEIQoL-DW) as a routine outcome measure within an early intervention service for young people with indicated personality disorder and the overall quality of life (QoL) in this population.

Methods

SEIQoL-DW was administered alongside the Standardised Assessment of Personality—Abbreviated Scale—Self-Report (SAPAS-SR), Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder Scale (GAD-7) and the Post-Traumatic Stress Disorder—Primary Care (PTSD-PC) as part of routine service evaluation over a 16-month period. Descriptive statistics were calculated for data reflecting use of the SEIQoL-DW alongside demographic and outcome variables.

Results

The SEIQoL-DW was administered to 52 young adults with indicated personality disorder, with 47 completing the measure, taking an average time of 27 min. Individual QoL was poor with a mean global index score of 55.07 (SD = 22.34). Individual QoL areas formed five main domains—‘Aspects of Daily Living’, ‘Relationships’, ‘Social Life and Leisure’, ‘Family’ and ‘Emotional and Physical Wellbeing’.

Conclusion

This study further extends the application of the SEIQoL-DW for use as a routine outcome measure within a busy service setting, although ways to accommodate administration time need to be considered. Poor QoL highlights the need for continued development of services to meet the needs of young adults with indicated personality disorder.
vorige artikel Erratum to: Assessing the effects of oral health-related variables on quality of life in Taiwanese adults
volgende artikel A new look at the WHOQOL as health-related quality of life instrument among visually impaired people using Rasch analysis
Literatuur
1.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (Revised 4th ed.) (DSM-IV-TR). Washington, DC: American Psychiatric Association.
2.
Manning, N. (2000). Psychiatric diagnosis under conditions of uncertainty: Personality disorder, science and professional legitimacy. Sociology of Health & Illness, 22(5), 621–639.CrossRef
3.
Lieb, K., Zanarini, M. C., Schmahl, C., Linehan, M. M., & Bohus, M. (2004). Borderline personality disorder. The Lancet, 264, 453–461.CrossRef
4.
Zanarini, M. C., Frankenburg, F. R., Dubo, E. D., Sickel, A. E., Trikha, A., Levin, A., et al. (1998). Axis I comorbidity of borderline personality disorder. American Journal of Psychiatry, 155, 1733–1739.PubMed
5.
Pagura, J., Stein, M. B., Bolton, J. M., Cox, B. J., Grant, B., & Sareen, J. (2010). Comorbidity of borderline personality disorder and posttraumatic stress disorder in the US population. Journal of Psychiatric Research, 44, 1190–1198.PubMedCrossRef
6.
Cramer, V., Torgersen, S., & Kringlen, E. (2006). Personality disorders and quality of life. A population study. Comprehensive Psychiatry, 47(3), 178–184.PubMedCrossRef
7.
Soeteman, D. I., Verheul, R., & van Busschbach, J. J. (2008). The burden of disease in personality disorders: Diagnosis-specific quality of life. Journal of Personality Disorder, 22(3), 259–268.CrossRef
8.
Ware, J. E., Kosinski, M., & Keller, M. D. (1996). A 12-item short-form health survey. Construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233.PubMedCrossRef
9.
Grant, B. F., Hasin, D. S., Stinson, F. S., Dawson, D. A., Chou, S. P., Ruan, W. J., et al. (2004). Prevalence, correlates, and disability of personality disorders in the United States: Results from the national epidemiologic survey on alcohol and related conditions. Journal of Clinical Psychiatry, 65(7), 948–958.PubMedCrossRef
10.
Jackson, H. J., & Burgess, P. M. (2002). Personality disorders in the community: Results from the Australia National Survey of Mental Health and Wellbeing Part II. Relationships between personality disorder, Axis I mental disorders and physical conditions with disability and health consultations. Social Psychiatry and Psychiatric Epidemiology, 37(6), 251–260.PubMedCrossRef
11.
Chen, H., Cohen, P., Crawford, T. N., Kasen, S., Johnson, J. G., & Berenson, K. (2006). Relative impact of young adult personality disorders on subsequent quality of life: Findings of a community-based longitudinal study. Journal of Personality Disorder, 20(5), 510–523.CrossRef
12.
Chen, H., Cohen, P., Kasen, S., & Johnson, J. G. (2006). Adolescent Axis I and personality disorders predict quality of life during young adulthood. Journal of Adolescent Health, 39(1), 14–19.PubMedCrossRef
13.
Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teen through the twenties. American Psychologist, 55(5), 469–480.PubMedCrossRef
14.
Miller, A. L., Muehlenkamp, J. J., & Jacobson, C. M. (2008). Fact or fiction: Diagnosing borderline personality disorder in adolescents. Clinical Psychology Review, 28(6), 969–981.PubMedCrossRef
15.
Gilbert, T., Farrand, P., & Lankshear, G. (2011). “I Don’t Want to Live Like This Anymore”: Disrupted habitus in young people “at risk” of diagnosis of personality disorder. Youth and Society,. doi:10.​1177/​0044118X11417979​.
16.
Chanen, A. M., McCutcheon, L. K., Germano, D., Nistico, H., Jackson, H. J., & McGorry, P. D. (2009). The HYPE Clinic: An early intervention service for borderline personality disorder. Journal of Psychiatric Practice, 15(3), 163–172.PubMedCrossRef
17.
Farrand, P., Booth, N., Gilbert, T., & Lankshear, G. (2009). Engagement and early termination of contract with a community based early intervention service for personality disorder in young adults. Early Intervention in Psychiatry, 3(3), 204–212.PubMedCrossRef
18.
Prince, P. N., & Prince, C. R. (2001). Subjective quality of life in the evaluation of programs for people with serious and persistent mental illness. Clinical Psychology Review, 21(7), 1005–1036.PubMedCrossRef
19.
Wettergren, A., Kettis-Lindblad, A., Sprangers, M., & Ring, L. (2009). The use, feasibility and psychometric properties of an individualised quality-of-life instrument: A systematic review of the SEIQoL-DW. Quality of Life Research, 18(6), 737–746.PubMedCrossRef
20.
Gill, T. M., & Feinstein, A. R. (1994). A critical appraisal of the quality of quality-of-life measurements. Journal of the American Medical Association, 272(8), 619–626.PubMedCrossRef
21.
Leplège, A., & Hunt, S. (1997). The problem of quality of life in medicine. Journal of the American Medical Association, 278(1), 47–50.PubMedCrossRef
22.
Hickey, A. M., Bury, G., O’Boyle, C. A., Bradley, F., O’Kelly, F. S., & Shannon, W. (1996). A new short form individual quality of life measure (SEIQoL-DW): Application in a cohort of individuals with HIV/AIDS. British Medical Journal, 313(7048), 29–33.PubMedCrossRef
23.
De la Rie, S., Noordenbos, G., Donker, M., & van Furth, E. (2007). The patient’s view on quality of life and eating disorders. International Journal of Eating Disorders, 40(1), 13–20.PubMedCrossRef
24.
Wagner, J. (2004). Acceptability of the schedule for the evaluation of individual quality of life-direct weight (SEIQoL-DW) in youth with type 1 diabetes. Quality of Life Research, 13(7), 1279–1285.PubMedCrossRef
25.
Walker, J., & Bradley, C. (2002). Assessing the quality of life of adolescents with diabetes: Using the SEIQoL, DQOL, patient and diabetes specialist nurse ratings. Practical Diabetes International, 19(5), 141–144.CrossRef
26.
Sundberg, K. K., Lampic, C., Björk, O., Arvidson, J., & Wettergren, L. (2008). Positive and negative consequences of childhood cancer influencing the lives of young adults. European Journal of Oncology Nursing, 13(3), 164–170.PubMedCrossRef
27.
Office for National Statistics. (2010). Mid-2010 population estimates analysis tool. London: HMSO.
28.
Cohen, P., Crawford, T. N., Johnson, J. G., & Kasen, S. (2005). The children in the community study of developmental course of personality disorder. Journal of Personality Disorder, 19(5), 466–486.CrossRef
29.
Lewinsohn, P. M., Rhode, P., Seeley, J. R., & Klein, D. N. (1997). Axis II psychopathology as a function of axis I disorders in childhood and adolescence. Journal of the American Academy of Child and Adolescent Psychiatry, 36(12), 1752–1759.PubMedCrossRef
30.
Thatcher, D. L., Cornelius, J. R., & Clark, D. B. (2005). Adolescent alcohol use disorders predict adult borderline personality disorder. Addictive Behaviour, 30(9), 1709–1724.CrossRef
31.
Department of Health. (2009). Recognising complexity: Commissioning guidance for personality disorder services. London: Department of Health.
32.
Germans, S., van Heck, G. L., Moran, P., & Hodiamont, P. P. G. (2008). The self-report standardized assessment of personality-abbreviated scale: Preliminary results of a brief screening test for personality disorders. Personality and Mental Health, 2(2), 70–76.CrossRef
33.
Fitzpatrick, R., Davey, C., Buxton, M. J., & Jones, D. R. (1998). Evaluating patient-based outcome measures for use in clinical trials. Health Technology Assessment, 2(14), 1–74.PubMed
34.
Moran, P., Leese, M., Lee, T., Walters, P., Thornicroft, G., & Mann, A. (2003). Standardised assessment of personality-abbreviated scale (SAPAS): Preliminary validation of a brief screen for personality disorder. British Journal of Psychiatry, 183, 228–232.PubMedCrossRef
35.
Pilgrim, J., Mellers, J. D., Boothby, H. A., & Mann, A. H. (1993). Inter-rater and temporal reliability of the standardised assessment of personality and the influence of informant characteristics. Psychological Medicine, 23(3), 779–786.PubMedCrossRef
36.
World Health Organization. (1992). International statistical classification of diseases and related health problems (ICD-10). Geneva: WHO.
37.
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606–613.PubMedCrossRef
38.
Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 22(166), 1092–1097.CrossRef
39.
Löwe, B., Decker, O., Müller, S., Brähler, E., Schellberg, D., Herzog, W., et al. (2008). Validation and standardization of the generalized anxiety disorder screener (GAD-7) in the general population. Medical Care, 46(3), 266–274.PubMedCrossRef
40.
Prins, A., Ouimette, P., Kimerling, R., Cameron, R. P., Hugelshofer, D. S., Shaw-Hegwer, J., et al. (2003). The primary care PTSD screen (PC-PTSD): Development and operating characteristics. Primary Care Psychiatry, 9(1), 9–14.CrossRef
41.
Spitzer, R. L., Williams, J. B., Kroenke, K., Linzer, M., deGruy, F. V., I. I. I., Hahn, S. R., et al. (1994). Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study. The Journal of the American Medical Association, 272(22), 1749–1756.CrossRef
42.
McKee, M. (1993). Routine data: A resource for clinical audit? Quality in Health Care, 2, 104–111.PubMedCrossRef
43.
Beaumont, J., & Kenealy, P. M. (2004). Quality of life perceptions and social comparisons in healthy old age. Ageing and Society, 24(5), 755–769.CrossRef
44.
Kettis-Lindblad, A., Ring, L., Widmark, E., Bendtsen, P., & Glimelius, B. (2007). Patients’ and doctors’ views of using the schedule for individual quality of life in clinical practice. The Journal of Supportive Oncology, 5(6), 281–287.PubMed
45.
Finn, S. E., & Tonsager, M. E. (1997). Information-gathering and therapeutic models of assessment: Complementary paradigms. Psychological Assessment, 9(4), 374–385.CrossRef
46.
McKee, K. J., Houston, D. M., & Barnes, S. (2002). Methods for assessing quality of life and well-being in frail older people. Psychology & Health, 17(6), 737–751.CrossRef
47.
Hatfield, D. R., & Ogles, B. M. (2004). The use of outcome measures by psychologists in clinical practice. Professional Psychology: Research and Practice, 35(5), 485–491.CrossRef
48.
Dawson, J., Doll, H., Firzpatrick, R., Jenkinson, C., & Carr, A. J. (2010). The routine use of patient outcome measures in healthcare settings. British Medical Journal, 340, c186.PubMedCrossRef
49.
Marshall, S. M., Haywood, K., & Fitzpatrick, R. (2006). Impact of patient-reported outcome measures on routine practice: A structured review. Journal of Evaluation in Clinical Practice, 12(5), 559–568.PubMedCrossRef
50.
Lee, Y., & McCormick, B. (2002). Constraints of outcome measurement perceived by recreational therapists in physical medicine and rehabilitation. Annual in Therapeutic Recreation, 11.
51.
Simmons-MacKie, N. N., Threat, T. T., & Kagan, A. (2005). Outcome assessment in aphasia: A survey. Journal of Communication Disorders, 38, 1–27.PubMedCrossRef
52.
Slade, M., Thornicroft, G., & Glover, G. (1999). The feasibility of routine outcome measures in mental health. Social Psychiatry and Psychiatric Epidemiology, 34, 243–249.PubMedCrossRef
53.
Ring, L., Lindblad, A. K., Bendtsen, P., Viklund, E., Jansson, R., & Glimelius, B. (2006). Feasibility and validity of a computer administered version of SEIQoL-DW. Quality of Life Research, 15(7), 1173–1177.PubMedCrossRef
54.
Greenwald, A. G., Pickrell, J. E., & Farnham, S. D. (2002). Implicit partisanship: Taking sides for no reason. Journal of Personality and Social Psychology, 83(2), 367–379.PubMedCrossRef
55.
Oltmanns, T. F., & Turkheimer, E. (2006). Perceptions of self and others regarding pathological personality traits. In R. F. Krueger & J. L. Tackett (Eds.), Personality and psychopathology (pp. 71–111). New York: Guilford Press.
56.
O’Boyle, C. A., Browne, J., Hickey, A., McGee, H. M., & Joyce, C. R. B. (1993). The schedule for the evaluation of individual quality of life (SEIQoL): A direct weight procedure for quality of life domains (SEIQoL-DW). Department of Psychology, Royal College of Surgeons in Ireland.
57.
Chanen, A. M., & McCutcheon, L. E. (2008). Personality disorder in adolescence: The diagnosis that dare not speak its name. Personality and Mental Health, 2(1), 35–41.CrossRef
58.
Chanen, A. M., McCutcheon, L. K., Jovey, M., Jackson, H. J., & McGorry, P. D. (2007). Prevention and early intervention for borderline personality disorder. Medical Journal of Australia, 187(7), 518–521.
Metagegevens
Titel
Measurement of individualised quality of life amongst young people with indicated personality disorder during emerging adulthood using the SEIQoL-DW
Auteurs
Paul Farrand
Joanne Woodford
Publicatiedatum
01-05-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 4/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0210-y

Andere artikelen Uitgave 4/2013

Quality of Life Research 4/2013 Naar de uitgave

OriginalPaper

Prognostic value of quality of life measured after treatment on subsequent survival in patients with nasopharyngeal carcinoma

OriginalPaper

Prospective individual and social predictors of changes in adjustment for patients attending a regional cancer service

OriginalPaper

The association between post-traumatic stress disorder symptoms and the quality of life among Wenchuan earthquake survivors: the role of social support as a moderator

Brief Communication

Activity limitation and participation restrictions of breast cancer patients receiving chemotherapy: psychometric properties and validation of the Chinese version of the WHODAS 2.0

Brief Communication

Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population

Brief Communication

Health-related quality of life with KDQOL-36 and its association with self-efficacy and treatment satisfaction in Korean dialysis patients