Abstract
PURPOSE Little is known regarding the effects of psychological factors on data collection in research studies. We examined whether Five Factor Model (FFM) per- sonality factors-Neuroticism, Extraversion, Openness, Agreeableness, and Consci- entiousness-predicted missing data in a randomized controlled trial (RCT). METHODS Individuals (N = 415) aged 40 years and older with various chronic conditions, plus basic activity impairment, depressive symptoms, or both, were recruited from a primary care network and enrolled in a 6-week RCT of an illness self-management intervention, delivered by means of home visits or telephone calls or usual care. Random effects logistic regression modeling was used to examine whether FFM factors predicted missing illness management self-effcacy data at any scheduled follow-up (2, 4, and 6 weeks, and 6 and 12 months), con- trolling for disease burden, study arm, and sociodemographic characteristics. RESULTS Across all follow-up points, the missing data rate was 4.5%. Higher levels of Openness (adjusted odds ratio [AOR] for 1-SD increase = 0.24; 95% CI, 0.12-0.46; P <.001), Agreeableness (AOR= 0.29; CI 0.14-0.60; P =.001), and Conscientiousness (AOR = 0.24; CI 0.15-0.50; P <.001) were independently asso- ciated with fewer missing data. Accuracy of the missing data prediction model increased when personality variables were added (change in area under the receiver operating characteristic curve from 0.71 to 0.77; 21 = 6.6; P =.01). CONCLUSIONS Personality was a powerful predictor of missing study data in this RCT. Assessing personality could inform efforts to enhance data completion and adjust analyses for bias caused by missing data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 148-156 |
| Number of pages | 9 |
| Journal | Annals of Family Medicine |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 2009 |
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Keywords
- Bias (Epidemiology)
- Data interpretation, Statistical
- Patient compliance
- Personality
- Randomized controlled trials
ASJC Scopus subject areas
- Family Practice
Cite this
Is personality a key predictor of missing study data? an analysis from a randomized controlled trial. / Jerant, Anthony F; Chapman, Enjamin P.; Duberstein, Paul; Franks, Peter.
In: Annals of Family Medicine, Vol. 7, No. 2, 03.2009, p. 148-156.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Is personality a key predictor of missing study data? an analysis from a randomized controlled trial
AU - Jerant, Anthony F
AU - Chapman, Enjamin P.
AU - Duberstein, Paul
AU - Franks, Peter
PY - 2009/3
Y1 - 2009/3
N2 - PURPOSE Little is known regarding the effects of psychological factors on data collection in research studies. We examined whether Five Factor Model (FFM) per- sonality factors-Neuroticism, Extraversion, Openness, Agreeableness, and Consci- entiousness-predicted missing data in a randomized controlled trial (RCT). METHODS Individuals (N = 415) aged 40 years and older with various chronic conditions, plus basic activity impairment, depressive symptoms, or both, were recruited from a primary care network and enrolled in a 6-week RCT of an illness self-management intervention, delivered by means of home visits or telephone calls or usual care. Random effects logistic regression modeling was used to examine whether FFM factors predicted missing illness management self-effcacy data at any scheduled follow-up (2, 4, and 6 weeks, and 6 and 12 months), con- trolling for disease burden, study arm, and sociodemographic characteristics. RESULTS Across all follow-up points, the missing data rate was 4.5%. Higher levels of Openness (adjusted odds ratio [AOR] for 1-SD increase = 0.24; 95% CI, 0.12-0.46; P <.001), Agreeableness (AOR= 0.29; CI 0.14-0.60; P =.001), and Conscientiousness (AOR = 0.24; CI 0.15-0.50; P <.001) were independently asso- ciated with fewer missing data. Accuracy of the missing data prediction model increased when personality variables were added (change in area under the receiver operating characteristic curve from 0.71 to 0.77; 21 = 6.6; P =.01). CONCLUSIONS Personality was a powerful predictor of missing study data in this RCT. Assessing personality could inform efforts to enhance data completion and adjust analyses for bias caused by missing data.
AB - PURPOSE Little is known regarding the effects of psychological factors on data collection in research studies. We examined whether Five Factor Model (FFM) per- sonality factors-Neuroticism, Extraversion, Openness, Agreeableness, and Consci- entiousness-predicted missing data in a randomized controlled trial (RCT). METHODS Individuals (N = 415) aged 40 years and older with various chronic conditions, plus basic activity impairment, depressive symptoms, or both, were recruited from a primary care network and enrolled in a 6-week RCT of an illness self-management intervention, delivered by means of home visits or telephone calls or usual care. Random effects logistic regression modeling was used to examine whether FFM factors predicted missing illness management self-effcacy data at any scheduled follow-up (2, 4, and 6 weeks, and 6 and 12 months), con- trolling for disease burden, study arm, and sociodemographic characteristics. RESULTS Across all follow-up points, the missing data rate was 4.5%. Higher levels of Openness (adjusted odds ratio [AOR] for 1-SD increase = 0.24; 95% CI, 0.12-0.46; P <.001), Agreeableness (AOR= 0.29; CI 0.14-0.60; P =.001), and Conscientiousness (AOR = 0.24; CI 0.15-0.50; P <.001) were independently asso- ciated with fewer missing data. Accuracy of the missing data prediction model increased when personality variables were added (change in area under the receiver operating characteristic curve from 0.71 to 0.77; 21 = 6.6; P =.01). CONCLUSIONS Personality was a powerful predictor of missing study data in this RCT. Assessing personality could inform efforts to enhance data completion and adjust analyses for bias caused by missing data.
KW - Bias (Epidemiology)
KW - Data interpretation, Statistical
KW - Patient compliance
KW - Personality
KW - Randomized controlled trials
UR - http://www.scopus.com/inward/record.url?scp=66249122083&partnerID=8YFLogxK
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U2 - 10.1370/afm.920
DO - 10.1370/afm.920
M3 - Article
VL - 7
SP - 148
EP - 156
JO - Annals of Family Medicine
JF - Annals of Family Medicine
SN - 1544-1709
IS - 2
ER -