Conclusions  Electronic self-monitoring of mood in depression appears to be a valid measure of mood in contrast to self-monitoring of mood in mania .
Background Various paper-based mood charting instruments are used in the monitoring of symptoms in bipolar disorder .
During recent years an increasing number of electronic self-monitoring tools have been developed .
The objectives of this systematic review were 1 ) to evaluate the validity of electronic self-monitoring tools as a method of evaluating mood compared to clinical rating scales for depression and mania and 2 ) to investigate the effect of electronic self-monitoring tools on clinical ly relevant outcomes in bipolar disorder .
There are yet few studies on the effect of  electronic self-monitoring of mood  in bipolar disorder .
The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression
The 16-item Quick Inventory of Depressive Symptomatology ( QIDS ) , a new measure of depressive symptom severity derived from the 30-item Inventory of Depressive Symptomatology ( IDS ) , is available in both self-report ( QIDS-SR(16 ) ) and clinician-rated ( QIDS-C(16 ) ) formats . This report evaluates and compares the psychometric properties of the QIDS-SR(16 ) in relation to the IDS-SR(30 ) and the 24-item Hamilton Rating Scale for Depression ( HAM-D(24 ) ) in 596 adult out patients treated for chronic nonpsychotic , major depressive disorder .  Internal consistency was high for the QIDS-SR(16 ) ( Cronbach 's alpha = .86 ) , the IDS-SR(30 ) ( Cronbach 's alpha = .92 ) , and the HAM-D(24 ) ( Cronbach 's alpha = .88 ) .  QIDS-SR(16 ) total scores were highly correlated with IDS-SR(30 ) ( .96 ) and HAM-D(24 ) ( .86 ) total scores . Item-total correlations revealed that several similar items were highly correlated with both QIDS-SR(16 ) and  IDS-SR(30 ) total scores . Roughly 1.3 times the QIDS-SR(16 )  total score is predictive of the HAM-D(17 ) ( 17-item version of the HAM-D ) total score . The QIDS-SR(16 ) was as sensitive to symptom change as the IDS-SR(30 ) and HAM-D(24 ) , indicating high concurrent validity for all three scales . The QIDS-SR(16 ) has highly acceptable psychometric properties , which supports the usefulness of this brief rating of depressive symptom severity in both clinical and research setting
Conclusions  Electronic self-monitoring of mood in depression appears to be a valid measure of mood in contrast to self-monitoring of mood in mania .
Background Various paper-based mood charting instruments are used in the monitoring of symptoms in bipolar disorder .
During recent years an increasing number of electronic self-monitoring tools have been developed .
The objectives of this systematic review were 1 ) to evaluate the validity of electronic self-monitoring tools as a method of evaluating mood compared to clinical rating scales for depression and mania and 2 ) to investigate the effect of electronic self-monitoring tools on clinical ly relevant outcomes in bipolar disorder .
There are yet few studies on the effect of  electronic self-monitoring of mood  in bipolar disorder .