PosterPDF Available

Abstract

The close relationship between physical and mental health is well established. Mental health is the primary driver of disability worldwide. A recent NCEPOD audit explored the quality of mental health care provided to patients admitted with a physical illness and found that 80% of patients lacked an adequate mental heath history. They recommended that national guidelines should be developed outlining the expectations of general hospital staff in the management of mental health conditions. Currently no strategy exists for identifying mental health problems in patients in acute care. This study describes the pilot of introducing screening for psychiatric symptoms to all acute medical patients at the Ipswich Hospital.
Addenbrooke’s Hospital Rosie Hospital
If you don’t ask, you won’t know.
Bridging the gap between mental health and acute care.
Guruparan T1, Arun K1, Ansari S1, Naruka V1, Weichert I2
1 University of Cambridge Clinical School, 2 Department of Acute Medicine, The Ipswich Hospital
Methods
Patients admitted to the Emergency Assessment Unit at The
Ipswich Hospital were screened for mental health conditions using
a short screening questionnaire which was incorporated into
clerking proformas in the systems enquiry or “direct questions”
(see figure 1).
Figure 1: Poster with instructions for medical staff
Doctors were asked to give a PHQ-SADS (Patient Health
Questionnaire - Somatic, Anxiety, and Depressive Symptom
Scales) 3,4 to patients who answered “yes” to all three screening
questions. The completed form was then placed in the patients’
notes. Based on the results, interventions such as an inpatient
psychiatric review or alerting the GP in the discharge letter could
be implemented by a senior clinician. Doctors were regularly
reminded about the screening pilot and the above poster
explaining the project was placed in the doctors’ offices.
Data was collected during an initial one month pilot starting
November 15th, 2016.
Outcomes
Questionnaire results:
The results of the project are summarized in table 1 as well as
figures 2 and 3. Of the patients that were self reporting mental
health issues, 64% did not have any past psychiatric history
documented and 60% were not taking psychiatric medication. The
median scores for somatisation and anxiety fall within the
moderate category, the median score for PHQ-9 screening for
depressive symptoms falls within the severe category.
Background & Aims
The close relationship between physical and mental health is well
established. Mental health is the primary driver of disability
worldwide.1 A recent NCEPOD audit explored the quality of
mental health care provided to patients admitted with a physical
illness and found that 80% of patients lacked an adequate mental
heath history.2 They recommended that national guidelines
should be developed outlining the expectations of general hospital
staff in the management of mental health conditions. Currently no
strategy exists for identifying mental health problems in patients in
acute care. This study describes the pilot of introducing screening
for psychiatric symptoms to all acute medical patients at the
Ipswich Hospital.
References
1. Lozano, R. et al. (2012) Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010. a systematic analysis for the global burden of disease study 2010.
The Lancet. 380(9859), 20952128.
2. National Confidential Enquiry into Patient Outcome and Death (NCEPOD). Treat as One. Bridging the gap between mental and physical healthcare in general hospitals. 2017.
http://www.ncepod.org.uk/2017report1/downloads/TreatAsOne_FullReport.pdf [accessed 2017. April5th]
3. Patient Health Questionnaire (PHQ) Screeners. Instructions for Patient Health Questionnaire ( PHQ ) and GAD-7 Measures [Internet]. www.phqscreeners.com. [accessed 2016 Nov 2].
4. Kroenke K, Spitzer RL, Williams JBW, Löwe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: A systematic review. Gen Hosp Psychiatry.
2010;32(4):34559.
The Ipswich Hospital
Table 1: Summary of results
Figure 2: System involved in the Figure 3: Severity of the symptoms identified
main admission diagnoses
Barriers to implementation:
We identified a number of barriers to implementation of our
screening tool for identifying patient mental health issues in acute
medicine. Doctors felt uncomfortable discussing mental health
problems with patients who were attending hospital with other
acute medical problems. Time constraints meant that they could
not afford to discuss in length about mental health problems with
patients and the topic was perceived to be quite time consuming
by the doctors. Doctors also felt unsure about how to proceed with
the results of the PHQ-SADS questionnaire, given that the
management was left to the discretion of the treating clinician.
Patient perspective:
In contrast to these issues raised by the doctors, we found that
patients were very open to discuss their mental health.
Furthermore, in general, our screening tool took 5-10 minutes to
complete.
Conclusion
Screening for psychiatric issues has a high response rate
amongst acute patients and can help identify otherwise missed
symptoms. Barriers amongst staff need addressing to further
integrate this with medical history taking. As a result of this
successful pilot, the Ipswich Hospital is now introducing mental
health screening for all patients in the acute medical unit.
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Article
Full-text available
Background: Reliable and timely information on the leading causes of death in populations, and how these are changing, is a crucial input into health policy debates. In the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), we aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex. Methods: We attempted to identify all available data on causes of death for 187 countries from 1980 to 2010 from vital registration, verbal autopsy, mortality surveillance, censuses, surveys, hospitals, police records, and mortuaries. We assessed data quality for completeness, diagnostic accuracy, missing data, stochastic variations, and probable causes of death. We applied six different modelling strategies to estimate cause-specific mortality trends depending on the strength of the data. For 133 causes and three special aggregates we used the Cause of Death Ensemble model (CODEm) approach, which uses four families of statistical models testing a large set of different models using different permutations of covariates. Model ensembles were developed from these component models. We assessed model performance with rigorous out-of-sample testing of prediction error and the validity of 95% UIs. For 13 causes with low observed numbers of deaths, we developed negative binomial models with plausible covariates. For 27 causes for which death is rare, we modelled the higher level cause in the cause hierarchy of the GBD 2010 and then allocated deaths across component causes proportionately, estimated from all available data in the database. For selected causes (African trypanosomiasis, congenital syphilis, whooping cough, measles, typhoid and parathyroid, leishmaniasis, acute hepatitis E, and HIV/AIDS), we used natural history models based on information on incidence, prevalence, and case-fatality. We separately estimated cause fractions by aetiology for diarrhoea, lower respiratory infections, and meningitis, as well as disaggregations by subcause for chronic kidney disease, maternal disorders, cirrhosis, and liver cancer. For deaths due to collective violence and natural disasters, we used mortality shock regressions. For every cause, we estimated 95% UIs that captured both parameter estimation uncertainty and uncertainty due to model specification where CODEm was used. We constrained cause-specific fractions within every age-sex group to sum to total mortality based on draws from the uncertainty distributions. Findings: In 2010, there were 52·8 million deaths globally. At the most aggregate level, communicable, maternal, neonatal, and nutritional causes were 24·9% of deaths worldwide in 2010, down from 15·9 million (34·1%) of 46·5 million in 1990. This decrease was largely due to decreases in mortality from diarrhoeal disease (from 2·5 to 1·4 million), lower respiratory infections (from 3·4 to 2·8 million), neonatal disorders (from 3·1 to 2·2 million), measles (from 0·63 to 0·13 million), and tetanus (from 0·27 to 0·06 million). Deaths from HIV/AIDS increased from 0·30 million in 1990 to 1·5 million in 2010, reaching a peak of 1·7 million in 2006. Malaria mortality also rose by an estimated 19·9% since 1990 to 1·17 million deaths in 2010. Tuberculosis killed 1·2 million people in 2010. Deaths from non-communicable diseases rose by just under 8 million between 1990 and 2010, accounting for two of every three deaths (34·5 million) worldwide by 2010. 8 million people died from cancer in 2010, 38% more than two decades ago; of these, 1·5 million (19%) were from trachea, bronchus, and lung cancer. Ischaemic heart disease and stroke collectively killed 12·9 million people in 2010, or one in four deaths worldwide, compared with one in five in 1990; 1·3 million deaths were due to diabetes, twice as many as in 1990. The fraction of global deaths due to injuries (5·1 million deaths) was marginally higher in 2010 (9·6%) compared with two decades earlier (8·8%). This was driven by a 46% rise in deaths worldwide due to road traffic accidents (1·3 million in 2010) and a rise in deaths from falls. Ischaemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, lung cancer, and HIV/AIDS were the leading causes of death in 2010. Ischaemic heart disease, lower respiratory infections, stroke, diarrhoeal disease, malaria, and HIV/AIDS were the leading causes of years of life lost due to premature mortality (YLLs) in 2010, similar to what was estimated for 1990, except for HIV/AIDS and preterm birth complications. YLLs from lower respiratory infections and diarrhoea decreased by 45-54% since 1990; ischaemic heart disease and stroke YLLs increased by 17-28%. Regional variations in leading causes of death were substantial. Communicable, maternal, neonatal, and nutritional causes still accounted for 76% of premature mortality in sub-Saharan Africa in 2010. Age standardised death rates from some key disorders rose (HIV/AIDS, Alzheimer's disease, diabetes mellitus, and chronic kidney disease in particular), but for most diseases, death rates fell in the past two decades; including major vascular diseases, COPD, most forms of cancer, liver cirrhosis, and maternal disorders. For other conditions, notably malaria, prostate cancer, and injuries, little change was noted. Conclusions: Population growth, increased average age of the world's population, and largely decreasing age-specific, sex-specific, and cause-specific death rates combine to drive a broad shift from communicable, maternal, neonatal, and nutritional causes towards non-communicable diseases. Nevertheless, communicable, maternal, neonatal, and nutritional causes remain the dominant causes of YLLs in sub-Saharan Africa. Overlaid on this general pattern of the epidemiological transition, marked regional variation exists in many causes, such as interpersonal violence, suicide, liver cancer, diabetes, cirrhosis, Chagas disease, African trypanosomiasis, melanoma, and others. Regional heterogeneity highlights the importance of sound epidemiological assessments of the causes of death on a regular basis. Funding: Bill & Melinda Gates Foundation.
Article
Depression, anxiety and somatization are the most common mental disorders in primary care as well as medical specialty populations; each is present in at least 5-10% of patients and frequently comorbid with one another. An efficient means for measuring and monitoring all three conditions would be desirable. Evidence regarding the psychometric and pragmatic characteristics of the Patient Health Questionnaire (PHQ)-9 depression, generalized anxiety disorder (GAD)-7 anxiety and PHQ-15 somatic symptom scales are synthesized from two sources: (1) four multisite cross-sectional studies (three conducted in primary care and one in obstetric-gynecology practices) comprising 9740 patients, and (2) key studies from the literature that have studied these scales. The PHQ-9 and its abbreviated eight-item (PHQ-8) and two-item (PHQ-2) versions have good sensitivity and specificity for detecting depressive disorders. Likewise, the GAD-7 and its abbreviated two-item (GAD-2) version have good operating characteristics for detecting generalized anxiety, panic, social anxiety and post-traumatic stress disorder. The optimal cutpoint is > or = 10 on the parent scales (PHQ-9 and GAD-7) and > or = 3 on the ultra-brief versions (PHQ-2 and GAD-2). The PHQ-15 is equal or superior to other brief measures for assessing somatic symptoms and screening for somatoform disorders. Cutpoints of 5, 10 and 15 represent mild, moderate and severe symptom levels on all three scales. Sensitivity to change is well-established for the PHQ-9 and emerging albeit not yet definitive for the GAD-7 and PHQ-15. The PHQ-9, GAD-7 and PHQ-15 are brief well-validated measures for detecting and monitoring depression, anxiety and somatization.
PHQ) Screeners. Instructions for Patient Health Questionnaire ( PHQ ) and GAD-7 Measures
Patient Health Questionnaire (PHQ) Screeners. Instructions for Patient Health Questionnaire ( PHQ ) and GAD-7 Measures [Internet]. www.phqscreeners.com. [accessed 2016 Nov 2].