Purpose The South London and Maudsley National Health Service (NHS) Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured and open-text data derived from the electronic health record system used by SLaM, a large mental healthcare provider in southeast London. In this paper, we update this register's descriptive data, and describe the substantial expansion and extension of the data resource since its original development. Participants Descriptive data were generated from the SLaM BRC Case Register on 31 December 2014. Currently, there are over 250 000 patient records accessed through CRIS. Findings to date Since 2008, the most significant developments in the SLaM BRC Case Register have been the introduction of natural language processing to extract structured data from open-text fields, linkages to external sources of data, and the addition of a parallel relational database (Structured Query Language) output. Natural language processing applications to date have brought in new and hitherto inaccessible data on cognitive function, education, social care receipt, smoking, diagnostic statements and pharmacotherapy. In addition, through external data linkages, large volumes of supplementary information have been accessed on mortality, hospital attendances and cancer registrations. Future plans Coupled with robust data security and governance structures, electronic health records provide potentially transformative information on mental disorders and outcomes in routine clinical care. The SLaM BRC Case Register continues to grow as a database, with approximately 20 000 new cases added each year, in addition to extension of follow-up for existing cases. Data linkages and natural language processing present important opportunities to enhance this type of research resource further, achieving both volume and depth of data. However, research projects still need to be carefully tailored, so that they take into account the nature and quality of the source information.

A review of the currently available evidence from epidemiological studies is provided.

ObjectiveDespite improving healthcare, the gap in mortality between people with serious mental illness (SMI) and general population persists, especially for younger age groups. The electronic database from a large and comprehensive secondary mental healthcare provider in London was utilized to assess the impact of SMI diagnoses on life expectancy at birth.MethodPeople who were diagnosed with SMI (schizophrenia, schizoaffective disorder, bipolar disorder), substance use disorder, and depressive episode/disorder before the end of 2009 and under active review by the South London and Maudsley NHS Foundation Trust (SLAM) in southeast London during 2007–09 comprised the sample, retrieved by the SLAM Case Register Interactive Search (CRIS) system. We estimated life expectancy at birth for people with SMI and each diagnosis, from national mortality returns between 2007–09, using a life table method.ResultsA total of 31,719 eligible people, aged 15 years or older, with SMI were analyzed. Among them, 1,370 died during 2007–09. Compared to national figures, all disorders were associated with substantially lower life expectancy: 8.0 to 14.6 life years lost for men and 9.8 to 17.5 life years lost for women. Highest reductions were found for men with schizophrenia (14.6 years lost) and women with schizoaffective disorders (17.5 years lost).ConclusionThe impact of serious mental illness on life expectancy is marked and generally higher than similarly calculated impacts of well-recognised adverse exposures such as smoking, diabetes and obesity. Strategies to identify and prevent causes of premature death are urgently required.

Introduction No previous population-based studies have used validated instruments to measure female sexual dysfunction (FSD) in Australian women across a broad age range. Aim To estimate prevalence and explore factors associated with the components of FSD. Main Outcome Measures Sexual Function Questionnaire measured low sexual function. Female Sexual Distress Scale measured sexual distress. Methods Multivariate analysis of postal survey data from a random sample of 356 women aged 20–70 years. Results Low desire was more likely to occur in women in relationships for 20–29 years (odds ratio 3.7, 95% confidence intervals 1.1–12.8) and less likely in women reporting greater satisfaction with their partner as a lover (0.3, 0.1–0.9) or who placed greater importance on sex (0.1, 0.03–0.3). Low genital arousal was more likely among women who were perimenopausal (4.4, 1.2–15.7), postmenopausal (5.3, 1.6–17.7), or depressed (2.5, 1.1–5.3), and was less likely in women taking hormone therapy (0.2, 0.04–0.7), more educated (0.5, 0.3–0.96), in their 30s (0.2, 0.1–0.7) or 40s (0.2, 0.1–0.7), or placed greater importance on sex (0.2, 0.05–0.5). Low orgasmic function was less likely in women who were in their 30s (0.3, 0.1–0.8) or who placed greater importance on sex (0.3, 0.1–0.7). Sexual distress was positively associated with depression (3.1, 1.2–7.8) and was inversely associated with better communication of sexual needs (0.2, 0.05–0.5). Results were adjusted for other covariates including age, psychological, socioeconomic, physiological, and relationship factors. Conclusions Relationship factors were more important to low desire than age or menopause, whereas physiological and psychological factors were more important to low genital arousal and low orgasmic function than relationship factors. Sexual distress was associated with both psychological and relationship factors.

Introduction Scientific interest in the impact of aging on women's sexual function and dysfunction has increased in the half century since Kinsey described age-related changes in women's sexual activities. However, a range of methodological issues limit the conclusions that can be drawn from many published studies in this area. Aim To review community-based studies investigating changes in women's sexual function and sexual dysfunction with age, taking into account confounders to aging and methodological limitations. Methods Electronic databases were searched for published studies investigating changes in sexual function and dysfunction with age. A critical review was carried out. Main Outcome Measures Age-related changes in sexual function and dysfunction. Results There are inconsistencies in the way sexual function and sexual dysfunction are measured. Validated scales are infrequently used. Low response rates, limited age ranges, and restrictive inclusion criteria limit the generalizability of many studies. Confounders are often either not measured or not analyzed. Longitudinal studies are rare, making it difficult to separate the effects of birth cohort and aging. The evidence indicates that a woman's sexual function declines with age. This decline begins in a woman's late 20s to late 30s. Specifically, desire, frequency of orgasm, and frequency of sexual intercourse decrease with age. However, it is not clear whether arousal decreases or remains relatively constant. In longitudinal studies, decline in women's sexual function has also been detected, but patterns of stability and improved sexual function have also been observed for short periods of time. The prevalence of most sexual difficulties or dysfunctions changes little with age, with the exception of sexual pain, which may decrease. Conclusions Age-related changes in sexually related personal distress may help explain why the prevalence of sexual dysfunctions remains constant with age while sexual function declines. More research is needed to demonstrate this.

Introduction A wide range of prevalence estimates of female sexual dysfunctions (FSD) have been reported. Aim Compare instruments used to assess FSD to determine if differences between instruments contribute to variation in reported prevalence. Main Outcome Measures Sexual Function Questionnaire combined with Female Sexual Distress Scale (SFQ-FSDS) was our gold standard, validated instrument for assessing FSD. Alternatives were SFQ alone and two sets of simple questions adapted from Laumann et al. 1994. Methods A postal survey was administered to a random sample of 356 Australian women aged 20 to 70 years. Results When assessed by SFQ-FSDS, prevalence estimates (95% confidence intervals) of hypoactive sexual desire disorder, sexual arousal disorder (lubrication), orgasmic disorder, and dyspareunia were 16% (12% to 20%), 7% (5% to 11%), 8% (6% to 12%), and 1% (0.5% to 3%), respectively. Prevalence estimates varied across alternative instruments for these disorders: 32% to 58%, 16% to 32%, 16% to 33%, and 3% to 23%, respectively. Compared with SFQ-FSDS alternative instruments produced higher estimates of desire, arousal and orgasm disorders and displayed a range of sensitivities (0.25 to 1.0), specificities (0.48 to 0.99), positive predictive values (0.01 to 0.56), and negative predictive values (0.95 to 1.0) across the disorders investigated. Kappa statistics comparing SFQ-FSDS and alternative instruments ranged from 0 to 0.71 but were predominantly 0.44 or less. Changing recall from previous month to 1 month or more in the previous year produced higher estimates for all disorders investigated. Including sexual distress produced lower estimates for desire, arousal, and orgasm disorders. Conclusions Prevalence estimates of FSD varied substantially across instruments. Relatively low positive predictive values and kappa statistics combined with a broad range of sensitivities and specificities indicated that different instruments identified different subgroups. Consequently, the instruments researchers choose when assessing FSD may affect prevalence estimates and risk factors they report.

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Introduction Many recent studies have investigated the prevalence of female sexual difficulty/dysfunction. Aim Investigate female sexual difficulty/dysfunction using data from prevalence studies. Methods We reviewed published prevalence studies excluding those that had not included each category of sexual difficulty (desire, arousal, orgasm, and pain), were based on convenience sampling, or had a response rate <50% or a sample size <100. Main Outcome Measures For each study we used the prevalence of any sexual difficulty as the denominator and calculated the proportion of women reporting each type of difficulty. For each category of sexual difficulty we used the prevalence of that difficulty lasting 1 month or more as the denominator and calculated the proportion of difficulties lasting several months or more and 6 months or more. Results Only 11 of 1,248 studies identified met our inclusion criteria. These studies used different measures of sexual dysfunction, so generating a simple summary prevalence was not possible. However, we observed consistent patterns in the published data. Among women with any sexual difficulty, on average, 64% (range 16–75%) experienced desire difficulty, 35% (range 16– 48%) experienced orgasm difficulty, 31% (range 12–64%) experienced arousal difficulty, and 26% (range 7–58%) experienced sexual pain. Of the sexual difficulties that occurred for 1 month or more in the previous year, 62–89% persisted for at least several months and 25–28% persisted for 6 months or more. Two studies investigated distress. Only a proportion of women with sexual difficulty were distressed by it (21–67%). Conclusions Desire difficulty is the most common sexual difficulty experienced by women. While the majority of difficulties last for less than 6 months, up to a third persist for 6 months or more. Sexual difficulties do not always cause distress. Consequently, prevalence estimates will vary depending on the time frame specified by researchers and whether distress is included in these estimates.