%0 Journal Article %J Thromb Haemost %D 2011 %T Validation of the CHADS2 clinical prediction rule to predict ischaemic stroke. A systematic review and meta-analysis %A Keogh, C %A Wallace, E %A Dillon, C %A Dimitrov, B %A Fahey, T %K Atrial Fibrillation %K Humans %K Myocardial Ischemia %K Practice Guidelines as Topic %K Predictive Value of Tests %K Prognosis %K Quality Assurance, Health Care %K Research Design %K Risk %K Sensitivity and Specificity %K Stroke %X The CHADS2 predicts annual risk of ischaemic stroke in non-valvular atrial fibrillation. This systematic review and meta-analysis aims to determine the predictive value of CHADS2. The literature was systematically searched from 2001 to October 2010. Data was pooled and analysed using discrimination and calibration statistical measures, using a random effects model. Eight data sets (n = 2815) were included. The diagnostic accuracy suggested a cut-point of ≥ 1 has higher sensitivity (92%) than specificity (12%) and a cut-point of ≥ 4 has higher specificity (96%) than sensitivity (33%). Lower summary estimates were observed for cut-points ≥ 2 (sensitivity 79%, specificity 42%) and ≥ 3 (specificity 77%, sensitivity 50%). There was insufficient data to analyse cut-points ≥ 5 or ≥ 6. Moderate pooled c statistic values were identified for the classic (0.63, 95% CI 0.52-0.75) and revised (0.60, 95% CI 0.43-0.72) view of stratification of the CHADS2. Calibration analysis indicated no significant difference between the predicted and observed strokes across the three risk strata for the classic or revised view. All results were associated with high heterogeneity, and conclusions should be made cautiously. In conclusion, the pooled c statistic and calibration analysis suggests minimal clinical utility of both the classic and revised view of the CHADS2 in predicting ischaemic stroke across all risk strata. Due to high heterogeneity across studies and low event rates across all risk strata, the results should be interpreted cautiously. Further validation of CHADS2 should perhaps be undertaken, given the methodological differences between many of the available validation studies and the original CHADS2 derivation study. %B Thromb Haemost %V 106 %P 528-38 %8 2011 Sep %G eng %U http://th.schattauer.de/en/contents/archive/issue/1439/manuscript/16384.html %N 3 %R 10.1160/TH11-02-0061 %0 Journal Article %J BMC Geriatrics %D 2014 %T Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis %A Barry, E %A Galvin, R %A Keogh, C %A Horgan, F %A Fahey, T %K falls %K Older adults %K Timed Up and Go Test %K TUG %X Abstract Background The Timed Up and Go test (TUG) is a commonly used screening tool to assist clinicians to identify patients at risk of falling. The purpose of this systematic review and meta-analysis is to determine the overall predictive value of the TUG in community-dwelling older adults. Methods A literature search was performed to identify all studies that validated the TUG test. The methodological quality of the selected studies was assessed using the QUADAS-2 tool, a validated tool for the quality assessment of diagnostic accuracy studies. A TUG score of ≥13.5 seconds was used to identify individuals at higher risk of falling. All included studies were combined using a bivariate random effects model to generate pooled estimates of sensitivity and specificity at ≥13.5 seconds. Heterogeneity was assessed using the variance of logit transformed sensitivity and specificity. Results Twenty-five studies were included in the systematic review and 10 studies were included in meta-analysis. The TUG test was found to be more useful at ruling in rather than ruling out falls in individuals classified as high risk (>13.5 sec), with a higher pooled specificity (0.74, 95% CI 0.52-0.88) than sensitivity (0.31, 95% CI 0.13-0.57). Logistic regression analysis indicated that the TUG score is not a significant predictor of falls (OR = 1.01, 95% CI 1.00-1.02, p = 0.05). Conclusion The Timed Up and Go test has limited ability to predict falls in community dwelling elderly and should not be used in isolation to identify individuals at high risk of falls in this setting. %B BMC Geriatrics %V 14 %8 02/2014 %G eng %U http://www.biomedcentral.com/1471-2318/14/14#abs %N 14 %R 10.1186/1471-2318-14-14 %0 Journal Article %J J Clin Epidemiol %D 2011 %T Optimized retrieval of primary care clinical prediction rules from MEDLINE to establish a Web-based register %A Keogh, C %A Wallace, E %A O'Brien, K %A Murphy, Paul J %A Teljeur, C %A McGrath, Brid %A Smith, SM %A Niall Doherty %A Dimitrov, B %A Fahey, T %K Abstracting and Indexing as Topic %K Databases, Bibliographic %K Humans %K Information Storage and Retrieval %K MEDLINE %K Primary Health Care %K Sensitivity and Specificity %K Subject Headings %X OBJECTIVES: Identifying clinical prediction rules (CPRs) for primary care from electronic databases is difficult. This study aims to identify a search filter to optimize retrieval of these to establish a register of CPRs for the Cochrane Primary Health Care field. STUDY DESIGN AND SETTING: Thirty primary care journals were manually searched for CPRs. This was compared with electronic search filters using alternative methodologies: (1) textword searching; (2) proximity searching; (3) inclusion terms using specific phrases and truncation; (4) exclusion terms; and (5) combinations of methodologies. RESULTS: We manually searched 6,344 articles, revealing 41 CPRs. Across the 45 search filters, sensitivities ranged from 12% to 98%, whereas specificities ranged from 43% to 100%. There was generally a trade-off between the sensitivity and specificity of each filter (i.e., the number of CPRs and total number of articles retrieved). Combining textword searching with the inclusion terms (using specific phrases) resulted in the highest sensitivity (98%) but lower specificity (59%) than other methods. The associated precision (2%) and accuracy (60%) were also low. CONCLUSION: The novel use of combining textword searching with inclusion terms was considered the most appropriate for updating a register of primary care CPRs where sensitivity has to be optimized. %B J Clin Epidemiol %V 64 %P 848-60 %8 2011 Aug %G eng %U http://www.sciencedirect.com/science/article/pii/S0895435610004233 %N 8 %R 10.1016/j.jclinepi.2010.11.011 %0 Journal Article %J BMJ Open %D 2016 %T Impact analysis studies of clinical prediction rules relevant to primary care: a systematic review %A Wallace, E %A Uijen, M %A Clyne, B %A Zarabzadeh, A %A Keogh, C %A Galvin, R %A Smith, SM %A Fahey, T %B BMJ Open %V 6:e009957 %8 2016 %G eng %N 3 %R 10.1136/bmjopen-2015-009957 %0 Journal Article %J Drug and Alcohol Dependence %D 2015 %T Health, perceived quality of life and health services use among homeless illicit drug users %A O'Brien, K %A Schuttke, A %A Alhakeem, E %A Donnelly-Swift, E %A Keogh, C %A Caroll, A %A O Sullivan, K %A Galvin, R %A Fahey, T %K Homeless; Drug user; Mental health; Perceived quality of life; Health service use %X Introduction Drug misuse has been identified as a significant problem in homeless populations. This study examines aspects of physical and mental health, perceived quality of life and health service use among homeless illicit drug users and compares these to non-drug users. Methods Participants were recruited through health clinics across Dublin. A questionnaire assessed participants’ drug use, health and well-being, health behaviours and use of health services. Descriptive statistics are presented for the entire cohort and drug users separately. Logistic regression analysis was used to examine the relationship between drug use and (i) multimorbidity, (ii) anxiety and/or depression, (iii) perceived quality of life and (iv) use of health services. Results Of 105 participants recruited, 35 (33%) were current drug users. Current and previous drug users were significantly more likely to have multimorbidity than those who had never taken drugs (OR 4.86, 95% CI 1.00–23.66). There was no significant difference between drug users and non-drug users in the prevalence of anxiety and/or depression. Drug users were five times more likely than non-drug users to have a low perceived quality of life (OR 5.2, 95% CI 1.7–16.0). Health service utilization was high, although some services were used less by drug users (e.g., dentist and psychiatric outpatient services) while others were used more often (e.g., phoneline services and day care centres). Conclusion This study highlights the high levels of drug use in this population and the negative impact of drug use on health and perceived quality of life of a homeless population in Dublin. %B Drug and Alcohol Dependence %V 154 %8 2015 %G eng %U http://www.sciencedirect.com/science/article/pii/S0376871615003324 %& 139–14 %R 10.1016/j.drugalcdep.2015.06.033 %0 Journal Article %J BMC Health Services Research %D 2015 %T Health and use of health services of people who are homeless and at risk of homelessness who receive free primary health care in Dublin %A Keogh, C %A O'Brien, K %A Hoban, A %A O'Carroll, A %A Fahey, T %X Background Homeless populations experience poorer physical and mental health, and more barriers to accessing adequate healthcare. This study investigates the health of this population, following the provision of a free to access primary care service for homeless people in Dublin (Safetynet). The health of this group will be compared to previous studies on homelessness conducted in Dublin prior to the establishment of this service (in 1997 and 2005). Methods Participants were recruited through Safetynet clinics. A 133-item questionnaire was administered to determine participants’ physical and mental well-being, use of health services and healthcare needs. Prescription data was extracted from participants’ electronic health records. Results A total of 105 participants were recruited. The majority were < 45 years of age (69%), male (75%), single (52%), Irish (74%) and had children (52%). Multimorbidity was common; with 5.3 ± 2.7 (mean ± SD) physical conditions reported per person. A large proportion of participants had at some point received a formal diagnosis of a mental health condition (70%; 73/105), including depression (50%; 52/105), addiction disorder (39%), anxiety (36%; 38/105), schizophrenia (13%; 14/105) and bipolar disorder (6%; 6/105). With regards to illicit drug use, 60% (63/105) of participants reported ever using drugs, while 33% (35/105) reported being active drug users. Based on AUDIT C criteria, 53% had an alcohol problem. Compared to previous studies, participants reported more positive ratings of health (70% vs. 57% in 1997 and 46% in 2005). The proportion of participants on one or more prescription medication was higher than in previous studies (81% vs. 32% in 1997 and 49% in 2005) and there was a decrease in attendance at outpatients departments (17% vs. 27% in 2005) and a trend towards a decrease in attendance at Accident and Emergency departments (A & E) (29% vs. 37% in 2005). Conclusions This vulnerable population has many physical and mental health problems. Use of drugs, alcohol and smoking is common. Following the establishment of Safetynet, self-reported health was rated more positively, there was also a decrease in the use of A & E and outpatient services and an increase in prescription medicines. %B BMC Health Services Research %V 15 %8 02/15 %G eng %U http://www.biomedcentral.com/1472-6963/15/58/abstract %N 58 %9 Published Journal Article %R 10.1186/s12913-015-0716-4 %0 Journal Article %J Science Direct %D 2013 %T Diagnostic accuracy of a clinical prediction rule (CPR) for identifying patients with recent-onset undifferentiated arthritis who are at a high risk of developing rheumatoid arthritis: A systematic review and meta-analysis %A McNally E %A Keogh, C %A Galvin, R %A Fahey, T %K clinical prediction rule %K Rheumatoid arthritis %K Undifferentiated arthritis %X Objectives The Leiden clinical prediction rule (CPR) was developed in 2007 to predict disease progression in patients with recent-onset undifferentiated arthritis (UA). This systematic review and meta-analysis investigates the predictive ability of the rule at identifying patients who are at a high risk of developing rheumatoid arthritis (RA). Methods A systematic review of the literature search was conducted from 2007 to May 2013 to identify studies that validated the rule. This study adhered to the PRISMA guidelines. The methodological quality of studies was assessed using the QUADAS-2 tool. Pooled sensitivity and specificity values for each of the cut points were generated using a bivariate random-effects model. Heterogeneity was assessed using the variance of logit-transformed sensitivity and specificity. Bayes' theorem was used to calculate post-test probability of progression from UA to RA. Results The search identified four relevant studies, resulting in six data sets (n = 1084). A cut point of ≥9 was identified as the optimal cut point for determining progression to RA. It is associated with a greater pooled specificity (0.99, 95% CI 0.95–1.00) than sensitivity (0.31, 95% CI 0.24–0.37). Using Bayes' theorem, a score of ≥9 points increased the pre-test probability from 40.04% to 93.63%. A less stringent cut-off of ≥8 also identified a significant proportion of patients at risk of RA who have a high likelihood of progressing to RA (LR + 9.5, 95% CI 6.21–14.54). Conclusion A cut point of ≥9 offers an optimal estimate for identifying patients with UA who are at a high risk of developing RA and warrant intervention. However, a number of methodological limitations identified across studies suggest that the results should be interpreted cautiously and that further validation of the Leiden CPR is necessary. %B Science Direct %V 43 %P 498-507 %8 02/2014 %G eng %U http://www.sciencedirect.com/science/article/pii/S0049017213001728 %N 4 %& 498 %R 10.1016/j.semarthrit.2013.08.005 %0 Journal Article %J Ann of Fam Med %D 2014 %T Developing an International Register of Clinical Prediction Rules for Use in Primary Care: A Descriptive Analysis %A Keogh, C %A Wallace, E %A O'Brien, K %A Galvin, R %A Smith, SM %A Lewis, Cliona %A Cummins, Anthony %A Cousins, G %A Dimitrov, B %A Fahey, T %K clinical decision support systems %K clinical prediction rule %K decision aid %K decision making %K primary care %K score card %X Abstract PURPOSE We describe the methodology used to create a register of clinical prediction rules relevant to primary care. We also summarize the rules included in the register according to various characteristics. METHODS To identify relevant articles, we searched the MEDLINE database (PubMed) for the years 1980 to 2009 and supplemented the results with searches of secondary sources (books on clinical prediction rules) and personal resources (eg, experts in the field). The rules described in relevant articles were classified according to their clinical domain, the stage of development, and the clinical setting in which they were studied. RESULTS Our search identified clinical prediction rules reported between 1965 and 2009. The largest share of rules (37.2%) were retrieved from PubMed. The number of published rules increased substantially over the study decades. We included 745 articles in the register; many contained more than 1 clinical prediction rule study (eg, both a derivation study and a validation study), resulting in 989 individual studies. In all, 434 unique rules had gone through derivation; however, only 54.8% had been validated and merely 2.8% had undergone analysis of their impact on either the process or outcome of clinical care. The rules most commonly pertained to cardiovascular disease, respiratory, and musculoskeletal conditions. They had most often been studied in the primary care or emergency department settings. CONCLUSIONS Many clinical prediction rules have been derived, but only about half have been validated and few have been assessed for clinical impact. This lack of thorough evaluation for many rules makes it difficult to retrieve and identify those that are ready for use at the point of patient care. We plan to develop an international web-based register of clinical prediction rules and computer-based clinical decision support systems. %B Ann of Fam Med %V 12 %P 359-366 %8 07/2014 %G eng %U http://www.ncbi.nlm.nih.gov/pubmed/25024245 %N 4 %9 Published Article Journal %& 359 %R 10.1370/afm.1640 %0 Journal Article %J Clinical Evidence (Online) %D 2010 %T Clinical prediction rules in primary care: what can be done to maximise their implementation? %A Keogh, C %A Fahey, T %K clinical practice %K clinical prediction rules %X Clinical prediction rules (CPRs) have become more prevalent in the published literature in recent years. Known by an array ofsynonymous terms including risk score, scorecard, algorithm, guide, and model, CPRs are clinical tools that quantify the contribution ofa patient’s history, physical examination, and diagnostic tests to stratify patients in terms of the probability of having a specific target disorder. Outcomes of CPRs can be presented as diagnosis, prognosis, referral, or treatment. Although not designed to replace clinical knowledge and experience, CPRs do offer a way to assist with the overall diagnostic and prognostic process.[1] Despite the value of these clinical tools, relatively few CPRs have been quantified and their utility validated. One CPR that has gained widespread acceptance is the Centor score,[2] which is based on four clinical features (tonsillar exudate, tender cervical anterior adenopathy, history of fever, and absence of cough) and is used to identify patients with group A beta-haemolytic streptococcal throat infections. What can be done to expedite implementation of other CPRs into routine primary care? %B Clinical Evidence (Online) %8 10/2010 %G eng %U http://clinicalevidence.bmj.com/x/set/static/ebm/learn/678151.html %0 Journal Article %J British Journal of General Practice %D 2014 %T Clinical prediction rules in practice:review of clinical guidelines and survey of GPs %A Plüddemann, A %A Wallace, E %A Bankhead, Clare %A Keogh, C %A Van der Windt, D %A Lasserson, D %A Galvin, R %A Moschetti, I %A Kearley, K %A O'Brien, K %A Sanders, S %A Mallett, S %A Malanda, U %A Thompson, M %A Fahey, T %A Stevens, R %K clinical guidelines %K clinical prediction rules %K survey %X Abstract Background The publication of clinical prediction rules (CPRs) studies has risen significantly. It is unclear if this reflects increasing usage of these tools in clinical practice or how this may vary across clinical areas. Aim To review clinical guidelines in selected areas and survey GPs in order to explore CPR usefulness in the opinion of experts and use at the point of care. Design and setting A review of clinical guidelines and survey of UK GPs. Method Clinical guidelines in eight clinical domains with published CPRs were reviewed for recommendations to use CPRs including primary prevention of cardiovascular disease, transient ischaemic attack (TIA) and stroke, diabetes mellitus, fracture risk assessment in osteoporosis, lower limb fractures, breast cancer, depression, and acute infections in childhood. An online survey of 401 UK GPs was also conducted. Results Guideline review: Of 7637 records screened by title and/or abstract, 243 clinical guidelines met inclusion criteria. CPRs were most commonly recommended in guidelines regarding primary prevention of cardiovascular disease (67%) and depression (67%). There was little consensus across various clinical guidelines as to which CPR to use preferentially. Survey: Of 401 responders to the GP survey, most were aware of and applied named CPRs in the clinical areas of cardiovascular disease and depression. The commonest reasons for using CPRs were to guide management and conform to local policy requirements. Conclusion GPs use CPRs to guide management but also to comply with local policy requirements. Future research could focus on which clinical areas clinicians would most benefit from CPRs and promoting the use of robust, externally validated CPRs. %B British Journal of General Practice %V 64 %P 233-243 %8 01/2014 %G eng %U http://bjgp.org/content/64/621/e233.full %N 621 %9 Published Journal Article %& 233 %R 10.3399/bjgp14X677860 %0 Journal Article %J Pharmacoepidemiol Drug Saf %D 2012 %T Antibiotic prescribing trends in a paediatric sub-population in Ireland %A Keogh, C %A Motterlini, N %A Reulbach, U %A Bennett, K %A Fahey, T %K antimicrobial practice %K antimicrobial treatment %K children %K pharmacoepidemiology %X PURPOSE: Little is known about antibiotic prescribing in Irish children. This study aims to examine antibiotic prescribing patterns in Irish children and associated costs and to compare this with European findings. METHODS: A retrospective analysis of the Irish Health Services Executive (HSE) pharmacy claims database 2004-2009 for the General Medical Services (GMS) scheme for dispensed medications. This represents 28% of Irish children but over-represents lower socio-economic groups. Overall prescribing rates were reported over time (2004-2009), age (0-4, 5-11, 12-15 years) and gender. Statistical comparison is made using negative binomial regression. Overall prescribing rates for the most commonly prescribed drugs were calculated. Associated cost of prescribing also was calculated. European prescribing data were retrieved from the literature. RESULTS: Rates remained stable from 2004 (631/1000 GMS population; 95%CI 628-634) to 2009 (621/1000; 95%CI 618-624). An interaction effect emerged between gender and age. Rates were generally higher for girls, except for the boys aged 0-4 years. The preferred choice of agents changed across years, with co-amoxiclav becoming the most prescribed drug in 2009 (308/1000; 95%CI 306-310). The total cost of antibiotics increased from €4.4 million in 2004 to €6.0 million in 2009. Higher overall rates of antibiotic prescribing emerged compared with available European data. Differences were observed between prescribing of some first-line and second-line drugs. CONCLUSIONS: Age and gender trends are consistent with international literature. However, Ireland has higher overall prescribing rates relative to some European countries. This suggests that a quality improvement in prescribing intervention is warranted. Copyright © 2012 John Wiley & Sons, Ltd. %B Pharmacoepidemiol Drug Saf %V 21 %P 945-52 %8 2012 Sep %G eng %U http://onlinelibrary.wiley.com/doi/10.1002/pds.2346/abstract %N 9 %R 10.1002/pds.2346 %0 Generic %D 2012 %T Validity of the Blatchford score to predict need for intervention for patients with upper gastrointestinal haemorrhage: a systematic review and meta-analysis. AUDGPI 2012, 9 March 2012 Dublin %A Hullegie, K %A Keogh, C %A Smith, SM %A Fahey, T %G eng %U http://hrbcentreprimarycare.ie/ppt/Blatchford%20score_WSM.pdf %0 Generic %D 2011 %T Validity of the Blatchford score to predict need for intervention for patients with upper gastrointestinal haemorrhage: a systematic review and meta-analysis. Winter Scientific Meeting 2011, Royal College of Physicians, 14 December 2011, Dublin %A Hullegie, K %A Keogh, C %A Smith, SM %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Hullegie_Blatchford%20score_WSM.pdf %0 Generic %D 2012 %T Validity of the Blatchford score to predict need for intervention for patients with upper gastrointestinal haemorrhage: a systematic review and meta-analysis. RCSI Research Day, 25 April 2012, Dublin %A Hullegie, K %A Keogh, C %A Smith, SM %A Fahey, T %G eng %U http://hrbcentreprimarycare.ie/ppt/Blatchford%20score_WSM.pdf %0 Generic %D 2010 %T Trends in Systemic Antibiotic Prescribing for Children in Ireland. 26th International Conference on Pharmacoepidemiology and Therapeutic Risk Management, 19-22 August 2010, ICPE, Brighton UK %A Keogh, C %A Reulbach, U %A Bennett, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Claire%20Keogh_SSM%202010_Antibiotic%20prescring%202004-2009.pdf %0 Generic %D 2010 %T Predicting stroke in non-rheumatic atrial fibrillation: A systematic review of validation of the CHADS2 clinical prediction rule. RCSI Research Day, 7th April 2010, Dublin, Ireland %A Wallace, E %A Keogh, C %A Dillion, C %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/posters/CHADS2.pdf %0 Generic %D 2010 %T Predicting stroke in adults with non-rheumatic atrial fibrillation: A systematic review of the validation of CHADS2 Clinical Prediction Rule (preliminary results). 6th Annual Cochrane in Ireland Conference, 28 January 2010, School of Nursing, Dublin City %A Wallace, E %A Dillon, C %A Keogh, C %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/WallaceE/CHDADS2%20Cochrane%20poster.ppt %0 Generic %D 2012 %T Health and use of health services of a homeless population in Dublin: A comparison study. SAPC Conference 2012, 2-4 October 2012, Glasgow, Scotland %A O'Connor, D %A Keogh, C %A Hoban, A %A Cronin, M %A O'Brien, K %A O'Carroll, A %A Robinson, J %A Fahey, T %G eng %0 Generic %D 2011 %T Health and Healthcare needs of the homeless in Dublin. Research Summer School, RCSI, October 2011, Royal College of Surgeons, Dublin %A Cronin, M %A Hoban, A %A O'Brien, K %A Keogh, C %A Robinson, J %A O'Carroll, A %A Fahey, T %G eng %U http://hrbcentreprimarycare.ie/ppt/Hoban_AUDGPI_final%20poster.pdf %0 Generic %D 2012 %T Health and healthcare needs of a homeless population in Dublin. RCSI Research Day, 25 April 2012, Dublin %A Hoban, A %A Cronin, M %A Keogh, C %A O'Brien, K %A O'Connor, C %A O'Carroll, A %A Robinson, J %A Fahey, T %G eng %U http://hrbcentreprimarycare.ie/ppt/Hoban_AUDGPI_final%20poster.pdf %0 Generic %D 2012 %T Health and healthcare needs of a homeless population in Dublin. AUDGPI 2012, 9 March 2012 Dublin %A Hoban, A %A Cronin, M %A Keogh, C %A O'Brien, K %A O'Connor, C %A O'Carroll, A %A Robinson, J %A Fahey, T %G eng %U http://hrbcentreprimarycare.ie/ppt/Hoban_AUDGPI_final%20poster.pdf %0 Generic %D 2013 %T Developing a web-based international register of clinical prediction rules for primary care SAPC ASM, University of Nottingham, 3 – 5 July 2013, Nottingham, UK %A Keogh, C %A Wallace, E %A O'Brien, K %A Galvin, R %A Smith, SM %A Fahey, T %G eng %0 Generic %D 2010 %T Antibiotic Prescribing in Irish Children Receiving Free Medical Care. The Society for Social Medicine, 6-8 September 2010, Belfast %A Keogh, C %A Reulbach, U %A Motterlini, N %A Bennett, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Claire%20Keogh_SSM%202010_Antibiotic%20prescring%202004-2009.pdf %0 Generic %D 2010 %T Register of Clinical Prediction Rules, methodological quality assessment and implementation strategies. European General Practice Research Network conference. October 14-17th, 2010, Zurich, Switzerland %A Wallace, E %A Keogh, C %A Smith, SM %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Emma%20Wallace%20EGPRN%20presentation.ppt %0 Generic %D 2010 %T Register of Clinical Prediction Rules, Methodological Quality assessment and Implementation Strategies. 39th Annual Scientific Meeting of the SAPC, 7- 9 July 2010, University of East Anglia, Norwich %A Wallace, E %A Keogh, C %A Smith, SM %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Emma%20Wallace%20SAPC%20presentation.pdf %0 Generic %D 2010 %T Prediction Stroke in Adults with Non-rheumatic Atrail Fibrillation: Validating the CHADS2 Rule. 39th Annual Scientific Meeting of the SAPC, 7- 9 July 2010, University of East Anglia, Norwich, UK %A Keogh, C %A Wallace, E %A Dimitrov, B %A Dillon, C %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/KeoghSAPC.pptx %0 Generic %D 2014 %T Health, Medication and Use of Health Services in a Homeless Population. SAPC July 9-11 2014 Edinburgh %A O'Brien, K %A Keogh, C %A Hoban, A %A O'Carrol, A %A Fahey, T %G eng %0 Generic %D 2013 %T Health and use of health services of a homeless population in Dublin – comparison study. AUDGPI Annual Scientific Meeting 2013, University of Limerick, 8 March 2013. Limerick %A Keogh, C %G eng %0 Generic %D 2012 %T Health and use of health services of a homeless population in Dublin: a comparison study. Accepted for presentation at the Jacqueline Horgan Bronze Medal RCPI Conference. 15th November 2012, Dublin %A Keogh, C %A Hoban, A %A O'Brien, K %A O'Carroll, A %A Robinson, J %A Fahey, T %G eng %0 Generic %D 2010 %T Development of an electronic register of clinical prediction rules relevant to primary care. RCSI Research Summer School Symposium, 8 October 2010, Dublin %A Halfpenny, Sarah %A Pirani, Zameer %A Keogh, C %A Wallace, E %A Fahey, T %G eng %0 Generic %D 2012 %T Developing a Web-based International Register of Clinical Prediction Rules for Primary Care. North American Primary Care Research Group (NAPCRG), 1-5 December 2012, New Orleans, Louisiana, USA %A Smith, SM %A Keogh, C %A Wallace, E %A Galvin, R %A O'Brien, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/International register for primary care CPRs.pptx %0 Generic %D 2013 %T Developing a web-based international register of clinical prediction rules for primary care. AUDGPI Annual Scientific Meeting 2013, University of Limerick, 8 March 2013. Limerick %A Keogh, C %G eng %0 Generic %D 2010 %T Antibiotic prescribing in Irish children: Describing rates and trends and comparing with EU prescribing behaviour, 8 December 2010, Faculty of Public Health Medicine, Dublin %A Keogh, C %A Motterlini, N %A Reulbach, U %A Bennett, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Keogh_Winter scientific meeting Dec 2010.ppt %0 Generic %D 2010 %T Antibiotic Prescribing in Irish children: A Preliminary Analysis. 13th Annual Scientific Meeting of the Association of University Departments of General Practice in Ireland, 19 March 2010, RCSI, Dublin, Ireland %A Keogh, C %A Reulbach, U %A Motterlini, N %A Bennett, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/KeoghC/C%20Keogh%20AUDGPI%20Abstract_antibiotic%20prescribing.pdf %0 Generic %D 2010 %T Trends in psychostimulant prescribing in Irish children. Patient Safety and Quality Drug Prescribing Meeting, 12 May 2010, Dublin %A Reulbach, U %A Motterlini, N %A Keogh, C %A Bennett, K %A O'Dowd, T %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Presentation%20Public%20Health%20Study%20Day.ppt %0 Generic %D 2010 %T A Systematic Review of the CHADS2 Score for Predicting Stroke Risk in Patients with Non-rheumatic Atrial Fibrillation. International Forum for Diagnostic and Prognostic Strategies in Primary Care, 4 June 2010, HRB Centre, Dublin %A Keogh, C %A Wallace, E %A Dillon, C %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/default.aspx?ID=124 %0 Generic %D 2010 %T Searching for CPRs relevant to primary care. Clinical Prediction Rules – International Working Group, 29-30 September 2010, Oxford, UK %A Keogh, C %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Keogh_Searching%20for%20CPRs_Oxford%20sept%202010.pdf %0 Generic %D 2010 %T Rates and Trends in Antibiotic Prescribing in Irish Children Receiving Free Medical Care. Patient Safety and Quality Drug Prescribing Meeting, 12 May 2010, Dublin %A Keogh, C %A Reulbach, U %A Motterlini, N %A Bennett, K %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Quality%20in%20prescribing_Antibiotics%20in%20Irish%20children.ppt %0 Generic %D 2010 %T International Register and Clinical Domains in Primary Care. Clinical Prediction Rules – International Forum for Diagnostic and Prognostic Strategies in Primary Care, 4 June 2010, HRB Centre for Primary Care Research, Dublin %A Keogh, C %A Wallace, E %A O'Brien, K %A Murphy, Paul J %A Teljeur, C %A McGrath, Brid %A Smith, SM %A Niall Doherty %A Dimitrov, B %A Fahey, T %G eng %U http://www.hrbcentreprimarycare.ie/default.aspx?ID=124 %0 Generic %D 2009 %T Developing an International Register for CPRs: Identifying an Optimal Search Strategy & Quality Assessment of CPR Studies. International Clinical Prediction Rules Meeting, 27 November 2009, HRB Centre for Primary Care Research, Dublin %A Wallace, E %A Keogh, C %G eng %U http://www.hrbcentreprimarycare.ie/ppt/KeoghC/CK%20and%20EW%20271109.ppt %0 Generic %D 2010 %T Clinical domains in CPRs relevant to primary care: Preliminary results. Clinical Prediction Rules – International Working Group, 29-30 September 2010, Oxford, UK %A Keogh, C %G eng %U http://www.hrbcentreprimarycare.ie/ppt/Keogh_Clinical%20domains%20in%20CPRs_Oxford%20sept%202010.pdf