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BackgroundMummatters is a web-based health tool that allows women to self-assess the symptoms of depression and the presence of psychosocial risk factors throughout pregnancy and the postnatal period. It aims to increase women’s awareness of their own symptoms or risk factors and their knowledge of the available support options, to encourage engagement with these support options (as appropriate), and to facilitate communication about emotional health issues between women and their health care providers. ObjectiveThe aim of this study is to report the uptake of mummatters; the sociodemographic and psychosocial risk profiles of a subsample of users; and the acceptability, credibility, perceived effect, and motivational appeal of the tool. The help-seeking behaviors of the subsample of users and barriers to help seeking were also examined. MethodsMummatters was launched in November 2016. Women who completed the mummatters baseline assessment were invited to complete a web-based follow-up survey 1 month later. ResultsA total of 2817 women downloaded and used mummatters between November 13, 2016, and May 22, 2018, and 140 women participated in the follow-up study. Approximately half of these women (51%; 72/140) were Whooley positive (possible depression), and 43% (60/140) had an elevated psychosocial risk score on the Antenatal Risk Questionnaire. Mummatters was rated favorably by pregnant and postnatal women in terms of its acceptability (94%-99%), credibility (93%-97%), appeal (78%-91%), and potential to affect a range of health behaviors specific to supporting emotional wellness during the perinatal period (78%-93%). Whooley-positive women were more likely to speak with their families than with a health care provider about their emotional health. Normalizing symptoms and stigma were key barriers to seeking help. ConclusionsAlthough mummatters was rated positively by consumers, only 53% (19/36) to 61% (22/36) of women with possible depression reported speaking to their health care providers about their emotional health. There was a trend for more prominent barriers to seeking help among postnatal women than among pregnant women. Future studies that investigate whether social barriers to seeking help are greater once a woman has an infant are warranted. Such barriers potentially place these women at greater risk of remaining untreated, as the demands on them are greater.

: Objective: To report rates of Medicare Benefits Schedule (MBS) mental health item use among a sample of women who gave birth in NSW (2009?2015) and examine if the SAFE START policy increased use of these items among perinatal women. Methods: Data was drawn from women participating in the Australian Longitudinal Study on Women's Health 1973?1978 cohort, linked to data from the NSW Perinatal Data Collection and MBS. Results: Use of Medicare?subsidised mental health items increased 2.7?fold among perinatal women (n=1,453) between 2009 and 2015 (4.1% versus 11.0% respectively), compared to a 1.3?fold increase among non?perinatal women (n=1,800, 6.3% versus 8.4% respectively). However, the increased use of MBS mental health items among perinatal women was not observed to be impacted by the SAFE START policy, after accounting for time trends. Conclusion: There was a substantial increase in the use of MBS mental health items among women in NSW between 2009 and 2015, with a more pronounced increase among women who had given birth compared to those who had not. Implications for public health: This study provides important information about changes in mental health service use during a time of significant investment in perinatal mental health, and demonstrates the value of longitudinal survey data linked with administrative health data to evaluate the impact of health policy., Mental health disorders are a leading cause of disease burden for women in Australia.[sup.1] In a recent national survey, between 11% and 16% of Australian women aged between 25 and [...]

In this pilot study we sought to determine the reliability and validity of collecting speech and voice acoustical data via telephone transmission for possible future use in large clinical trials. Simultaneous recordings of each participant's speech and voice were made at the point of participation, the local recording (LR), and over a telephone line using a dedicated inline computerized interactive voice recording system, the remote recording (RR). All voice recordings were made from our laboratory telephone located in Groton, Connecticut to the RR system located in Madison, Wisconsin. All data points were compared on a measure-by-measure basis between the LR and RR recordings. The results suggest that both measures of frequency excursion and of speech motor timing are reliably captured over the telephone. Results are discussed in terms of specific acoustic measures that may be useful and accurately measured via telephone transmission, for examining disease severity and pharmacological intervention for use in a large-scale clinical trial.

A number of empirical studies have documented the relationship between quantifiable and objective acoustical measures of voice and speech, and clinical subjective ratings of severity of Major Depression. To further explore this relationship, speech samples were extracted from videotape recordings of structured interviews made during the administration of the 17-item Hamilton Depression Rating Scale (HDRS; Hamilton, 1960). Pilot data were obtained from seven subjects (five males, two females) from videotapes that have been used to train expert raters on the administration and scoring of the HDRS. Several speech samples were isolated for each subject and processed to obtain the acoustic measurements. Acoustic measures were selected on the basis that they were correlated with HDRS ratings of symptom severity as seen under ideal voice recording conditions in previous studies. Our findings corroborate earlier reports that speaking rate is well correlated (negatively) with HDRS scores, with a strong correlation and nearly significant trend seen for the measure of pitch variability. A moderate pairwise correlation between percent pause time and HDRS score was also revealed, although this relationship was not statistically significant. The results from this cross-sectional study further demonstrate the ability of voice and speech signal analyses to objectively track severity of depression. In the present case, it is suggested that this relationship is robust enough to be found despite the less than ideal recording conditions and equipment used during the original videotape recording. Voice acoustical analyses may provide a powerful compliment to the standard clinical interview for depression. Use of such measures increases the range of techniques that are available to explore the neurobiological substrates of Major Depression, its treatment, and the dynamic interplay of the systems that govern the motor, cognitive, and emotional aspects of speech production.

The present study investigated the utility of employing computerized speech content analysis software to detect feigned depression in psychologically healthy adults. Twenty-two subjects between the ages of 19 and 54 years old, who scored lower than 10 on the Beck depression inventory (BDI, 1996), were asked to speak freely in response to a neutral stimulus. Participants performed this task in pseudo-randomized order for two experimental conditions: a control state and feigned depression. Computerized transcript analysis data were then subjected to paired t-tests to detect differences based on participants' lexical choices under the two conditions. Results indicated that one semantic category, tool, was significantly different between the feigned depression and control conditions. Another semantic category of interest, arousal, demonstrated a strong trend toward significance. Computerized lexical choice categories previously found to accurately identify persons with depression were not found to be significantly different in the discourse of our participants in the feigning condition. These results are discussed in terms of the use of computerized speech content analysis as a method for possibly identifying persons who may be intentionally feigning depression.

We sought to profile the voice acoustical correlates of simulated, or feigned depression by neurologically and psychiatrically healthy control subjects. We also sought to identify the voice acoustical correlates of feigned sleepiness for these same subjects. Twenty-two participants were asked to speak freely about a cartoon, to count from 1 to 10, and to sustain an ''a'' sound for approximately 5 s. These exercises were completed three times (within the same testing session) with three differing sets of instructions to the participants. These three conditions were presented in pseudo-random order to control for any order effects, and all subjects were naive to the intended purpose of this study. For all three conditions, mean speaking rates and pitch ranges were calculated. A series of paired t tests showed significant differences in the speaking rates (counting numbers and free-speech exercises) between the "normal" and feigned sleepy conditions, and between the normal and feigned depression conditions, but not between the "sleepy" and "depressed" conditions. The results for pitch range, for all speech exercises, were not different between the normal and either the feigned depression or feigned sleepiness conditions. These results indicate that persons feigning depression and sleepiness demonstrate some level of conscious control of their speech rate, but they did not convincingly alter their pitch ranges while feigning depression or sleepiness.