Rohina Joshi
University of Sydney
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The New England Journal of Medicine | 2008
Anushka Patel; Stephen MacMahon; John Chalmers; Bruce Neal; Laurent Billot; Mark Woodward; Michel Marre; Mark E. Cooper; Paul Glasziou; Diederick E. Grobbee; Pavel Hamet; Stephen B. Harrap; Simon Heller; Lisheng Liu; Giuseppe Mancia; Carl Erik Mogensen; C. Y. Pan; Neil Poulter; Anthony Rodgers; Bryan Williams; Severine Bompoint; B.E. de Galan; Rohina Joshi; Florence Travert
BACKGROUND In patients with type 2 diabetes, the effects of intensive glucose control on vascular outcomes remain uncertain. METHODS We randomly assigned 11,140 patients with type 2 diabetes to undergo either standard glucose control or intensive glucose control, defined as the use of gliclazide (modified release) plus other drugs as required to achieve a glycated hemoglobin value of 6.5% or less. Primary end points were composites of major macrovascular events (death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke) and major microvascular events (new or worsening nephropathy or retinopathy), assessed both jointly and separately. RESULTS After a median of 5 years of follow-up, the mean glycated hemoglobin level was lower in the intensive-control group (6.5%) than in the standard-control group (7.3%). Intensive control reduced the incidence of combined major macrovascular and microvascular events (18.1%, vs. 20.0% with standard control; hazard ratio, 0.90; 95% confidence interval [CI], 0.82 to 0.98; P=0.01), as well as that of major microvascular events (9.4% vs. 10.9%; hazard ratio, 0.86; 95% CI, 0.77 to 0.97; P=0.01), primarily because of a reduction in the incidence of nephropathy (4.1% vs. 5.2%; hazard ratio, 0.79; 95% CI, 0.66 to 0.93; P=0.006), with no significant effect on retinopathy (P=0.50). There were no significant effects of the type of glucose control on major macrovascular events (hazard ratio with intensive control, 0.94; 95% CI, 0.84 to 1.06; P=0.32), death from cardiovascular causes (hazard ratio with intensive control, 0.88; 95% CI, 0.74 to 1.04; P=0.12), or death from any cause (hazard ratio with intensive control, 0.93; 95% CI, 0.83 to 1.06; P=0.28). Severe hypoglycemia, although uncommon, was more common in the intensive-control group (2.7%, vs. 1.5% in the standard-control group; hazard ratio, 1.86; 95% CI, 1.42 to 2.40; P<0.001). CONCLUSIONS A strategy of intensive glucose control, involving gliclazide (modified release) and other drugs as required, that lowered the glycated hemoglobin value to 6.5% yielded a 10% relative reduction in the combined outcome of major macrovascular and microvascular events, primarily as a consequence of a 21% relative reduction in nephropathy. (ClinicalTrials.gov number, NCT00145925.)
The New England Journal of Medicine | 2014
Sophia Zoungas; John Chalmers; Bruce Neal; Laurent Billot; Qiang Li; Yoichiro Hirakawa; Hisatomi Arima; Helen Monaghan; Rohina Joshi; Stephen Colagiuri; Mark E. Cooper; Paul Glasziou; D. E. Grobbee; Pavel Hamet; Stephen B. Harrap; Simon Heller; Liu Lisheng; Giuseppe Mancia; Michel Marre; Mathews; Carl Erik Mogensen; Perkovic; N Poulter; Anthony Rodgers; Bryan Williams; Stephen MacMahon; Anushka Patel; Mark Woodward
BACKGROUND In the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) factorial trial, the combination of perindopril and indapamide reduced mortality among patients with type 2 diabetes, but intensive glucose control, targeting a glycated hemoglobin level of less than 6.5%, did not. We now report results of the 6-year post-trial follow-up. METHODS We invited surviving participants, who had previously been assigned to perindopril-indapamide or placebo and to intensive or standard glucose control (with the glucose-control comparison extending for an additional 6 months), to participate in a post-trial follow-up evaluation. The primary end points were death from any cause and major macrovascular events. RESULTS The baseline characteristics were similar among the 11,140 patients who originally underwent randomization and the 8494 patients who participated in the post-trial follow-up for a median of 5.9 years (blood-pressure-lowering comparison) or 5.4 years (glucose-control comparison). Between-group differences in blood pressure and glycated hemoglobin levels during the trial were no longer evident by the first post-trial visit. The reductions in the risk of death from any cause and of death from cardiovascular causes that had been observed in the group receiving active blood-pressure-lowering treatment during the trial were attenuated but significant at the end of the post-trial follow-up; the hazard ratios were 0.91 (95% confidence interval [CI], 0.84 to 0.99; P=0.03) and 0.88 (95% CI, 0.77 to 0.99; P=0.04), respectively. No differences were observed during follow-up in the risk of death from any cause or major macrovascular events between the intensive-glucose-control group and the standard-glucose-control group; the hazard ratios were 1.00 (95% CI, 0.92 to 1.08) and 1.00 (95% CI, 0.92 to 1.08), respectively. CONCLUSIONS The benefits with respect to mortality that had been observed among patients originally assigned to blood-pressure-lowering therapy were attenuated but still evident at the end of follow-up. There was no evidence that intensive glucose control during the trial led to long-term benefits with respect to mortality or macrovascular events. (Funded by the National Health and Medical Research Council of Australia and others; ADVANCE-ON ClinicalTrials.gov number, NCT00949286.).
Journal of the American College of Cardiology | 2008
Rohina Joshi; Stephen Jan; Yangfeng Wu; Stephen MacMahon
Cardiovascular disease (CVD) was the leading cause of death globally in 2005, responsible for 17.5 million deaths, more than 80% of which occurred in low- and middle-income countries (LMIC). In these regions, CVD occurs at a much younger age than in high-income countries, thereby contributing disproportionately to lost potential years of healthy life as well as lost economic productivity. Many effective interventions for CVD prevention and management are now affordable for all but the very poorest countries, but large treatment gaps still exist because of poor prescribing practices, limited availability of medicines, and lack of appropriately skilled health care providers. Despite the increasing awareness of the growing epidemic of CVD in LMIC, this public health priority has received little attention from those who determine the international health agenda. Although the burden of CVD is already enormous in developing countries, there exists a window of opportunity to prevent the epidemic reaching its full potential magnitude. This requires the rapid deployment of strategies already proven to be effective in high-income countries. Such strategies need to be tailored for LMIC for them to be affordable, effective, and accessible to disadvantaged groups and the burgeoning middle classes. Ideally, the control of CVD in these countries would involve a dual approach in which evidence-based clinical strategies for CVD prevention and treatment are complemented by evidence-based population level strategies. We propose that upgrading primary health care services is a central requirement for the control of the CVD epidemics facing the developing world.
PLOS ONE | 2014
Rohina Joshi; Mohammed Alim; Andre Pascal Kengne; Stephen Jan; Pallab K. Maulik; David Peiris; Anushka Patel
Background One potential solution to limited healthcare access in low and middle income countries (LMIC) is task-shifting- the training of non-physician healthcare workers (NPHWs) to perform tasks traditionally undertaken by physicians. The aim of this paper is to conduct a systematic review of studies involving task-shifting for the management of non-communicable disease (NCD) in LMIC. Methods A search strategy with the following terms “task-shifting”, “non-physician healthcare workers”, “community healthcare worker”, “hypertension”, “diabetes”, “cardiovascular disease”, “mental health”, “depression”, “chronic obstructive pulmonary disease”, “respiratory disease”, “cancer” was conducted using Medline via Pubmed and the Cochrane library. Two reviewers independently reviewed the databases and extracted the data. Findings Our search generated 7176 articles of which 22 were included in the review. Seven studies were randomised controlled trials and 15 were observational studies. Tasks performed by NPHWs included screening for NCDs and providing primary health care. The majority of studies showed improved health outcomes when compared with usual healthcare, including reductions in blood pressure, increased uptake of medications and lower depression scores. Factors such as training of NPHWs, provision of algorithms and protocols for screening, treatment and drug titration were the main enablers of the task-shifting intervention. The main barriers identified were restrictions on prescribing medications and availability of medicines. Only two studies described cost-effective analyses, both of which demonstrated that task-shifting was cost-effective. Conclusions Task-shifting from physicians to NPHWs, if accompanied by health system re-structuring is a potentially effective and affordable strategy for improving access to healthcare for NCDs. Since the majority of study designs reviewed were of inadequate quality, future research methods should include robust evaluations of such strategies.
Population Health Metrics | 2011
Christopher J L Murray; Alan D. Lopez; Robert E. Black; Ramesh C. Ahuja; Said M. Ali; Abdullah H. Baqui; Lalit Dandona; Emily Dantzer; Vinita Das; Usha Dhingra; Arup Dutta; Wafaie W. Fawzi; Abraham D. Flaxman; Sara Gómez; Bernardo Hernández; Rohina Joshi; Henry D. Kalter; Aarti Kumar; Vishwajeet Kumar; Rafael Lozano; Marilla Lucero; Saurabh Mehta; Bruce Neal; Summer Lockett Ohno; Rajendra Prasad; Devarsetty Praveen; Zul Premji; Dolores Ramírez-Villalobos; Hazel Remolador; Ian Riley
BackgroundVerbal autopsy methods are critically important for evaluating the leading causes of death in populations without adequate vital registration systems. With a myriad of analytical and data collection approaches, it is essential to create a high quality validation dataset from different populations to evaluate comparative method performance and make recommendations for future verbal autopsy implementation. This study was undertaken to compile a set of strictly defined gold standard deaths for which verbal autopsies were collected to validate the accuracy of different methods of verbal autopsy cause of death assignment.MethodsData collection was implemented in six sites in four countries: Andhra Pradesh, India; Bohol, Philippines; Dar es Salaam, Tanzania; Mexico City, Mexico; Pemba Island, Tanzania; and Uttar Pradesh, India. The Population Health Metrics Research Consortium (PHMRC) developed stringent diagnostic criteria including laboratory, pathology, and medical imaging findings to identify gold standard deaths in health facilities as well as an enhanced verbal autopsy instrument based on World Health Organization (WHO) standards. A cause list was constructed based on the WHO Global Burden of Disease estimates of the leading causes of death, potential to identify unique signs and symptoms, and the likely existence of sufficient medical technology to ascertain gold standard cases. Blinded verbal autopsies were collected on all gold standard deaths.ResultsOver 12,000 verbal autopsies on deaths with gold standard diagnoses were collected (7,836 adults, 2,075 children, 1,629 neonates, and 1,002 stillbirths). Difficulties in finding sufficient cases to meet gold standard criteria as well as problems with misclassification for certain causes meant that the target list of causes for analysis was reduced to 34 for adults, 21 for children, and 10 for neonates, excluding stillbirths. To ensure strict independence for the validation of methods and assessment of comparative performance, 500 test-train datasets were created from the universe of cases, covering a range of cause-specific compositions.ConclusionsThis unique, robust validation dataset will allow scholars to evaluate the performance of different verbal autopsy analytic methods as well as instrument design. This dataset can be used to inform the implementation of verbal autopsies to more reliably ascertain cause of death in national health information systems.
BMC Medicine | 2014
Christopher J L Murray; Rafael Lozano; Abraham D. Flaxman; Peter T. Serina; David Phillips; Andrea Stewart; Spencer L. James; Charles Atkinson; Michael K. Freeman; Summer Lockett Ohno; Robert E. Black; Said M. Ali; Abdullah H. Baqui; Lalit Dandona; Emily Dantzer; Gary L. Darmstadt; Vinita Das; Usha Dhingra; Arup Dutta; Wafaie W. Fawzi; Sara Gómez; Bernardo Hernández; Rohina Joshi; Henry D. Kalter; Aarti Kumar; Vishwajeet Kumar; Marilla Lucero; Saurabh Mehta; Bruce Neal; Devarsetty Praveen
BackgroundMonitoring progress with disease and injury reduction in many populations will require widespread use of verbal autopsy (VA). Multiple methods have been developed for assigning cause of death from a VA but their application is restricted by uncertainty about their reliability.MethodsWe investigated the validity of five automated VA methods for assigning cause of death: InterVA-4, Random Forest (RF), Simplified Symptom Pattern (SSP), Tariff method (Tariff), and King-Lu (KL), in addition to physician review of VA forms (PCVA), based on 12,535 cases from diverse populations for which the true cause of death had been reliably established. For adults, children, neonates and stillbirths, performance was assessed separately for individuals using sensitivity, specificity, Kappa, and chance-corrected concordance (CCC) and for populations using cause specific mortality fraction (CSMF) accuracy, with and without additional diagnostic information from prior contact with health services. A total of 500 train-test splits were used to ensure that results are robust to variation in the underlying cause of death distribution.ResultsThree automated diagnostic methods, Tariff, SSP, and RF, but not InterVA-4, performed better than physician review in all age groups, study sites, and for the majority of causes of death studied. For adults, CSMF accuracy ranged from 0.764 to 0.770, compared with 0.680 for PCVA and 0.625 for InterVA; CCC varied from 49.2% to 54.1%, compared with 42.2% for PCVA, and 23.8% for InterVA. For children, CSMF accuracy was 0.783 for Tariff, 0.678 for PCVA, and 0.520 for InterVA; CCC was 52.5% for Tariff, 44.5% for PCVA, and 30.3% for InterVA. For neonates, CSMF accuracy was 0.817 for Tariff, 0.719 for PCVA, and 0.629 for InterVA; CCC varied from 47.3% to 50.3% for the three automated methods, 29.3% for PCVA, and 19.4% for InterVA. The method with the highest sensitivity for a specific cause varied by cause.ConclusionsPhysician review of verbal autopsy questionnaires is less accurate than automated methods in determining both individual and population causes of death. Overall, Tariff performs as well or better than other methods and should be widely applied in routine mortality surveillance systems with poor cause of death certification practices.
Circulation | 2009
Rohina Joshi; Clara K. Chow; P. Krishnam Raju; Rama Raju; K. Srinath Reddy; Stephen MacMahon; Alan D. Lopez; Bruce Neal
Background— The rate of cardiovascular disease is widely considered to be increasing throughout India. Precise and reliable data on fatal and nonfatal cardiovascular disease, however, are few, and little is known about the use of preventive therapies. This is particularly true for rural regions. Methods and Results— Data were collected from 53 villages in the Godavari region of Andhra Pradesh. Mortality data were obtained from a verbal autopsy–based mortality surveillance system during a 12-month period in 2003 to 2004. The prevalence of nonfatal cardiovascular disease and the use of preventive therapies were estimated from a stratified random sample of 4535 adults (≥30 years of age) in 2005. Cardiovascular disease was the leading cause of mortality, accounting for at least 32% of all deaths. The average age at cardiovascular death was 65 years, and 51% of all cardiovascular deaths occurred in patients <70 years of age. Among adults, the prevalence of coronary heart disease was estimated to be 4.8% (95% CI, 4.1 to 5.5), and the prevalence of cerebrovascular disease was estimated at 2.0% (95% CI, 1.5 to 2.4). Among individuals with either diagnosis, 14% (95% CI, 10 to 18) reported taking aspirin, 41% (95% CI, 36 to 47) took a blood pressure–lowering medication, and 5% (95% CI, 3 to 7) reported using a cholesterol-lowering medication. Conclusion— This region has a large disease burden attributable to cardiovascular disease with significant underuse of proven, low-cost preventive medications.
PLOS ONE | 2013
Jun Hata; Hisatomi Arima; Sophia Zoungas; Gregory R. Fulcher; Carol A. Pollock; J. D. G. Watson; Rohina Joshi; Andre-Pascal Kengne; Toshiharu Ninomiya; Craig S. Anderson; Mark Woodward; Anushka Patel; Giuseppe Mancia; Neil Poulter; Stephen MacMahon; John Chalmers; Bruce Neal
Background Endpoint adjudication committees (EPAC) are widely used in clinical trials. The aim of the present analysis is to assess the effects of the endpoint adjudication process on the main findings of the ADVANCE trial (Trial registration: ClinicalTrials.gov NCT00145925). Methods and Findings The ADVANCE trial was a multicentre, 2×2 factorial randomised controlled trial of blood pressure lowering and intensive blood glucose control in 11140 patients with type 2 diabetes. Primary outcomes were major macrovascular (nonfatal myocardial infarction, nonfatal stroke and cardiovascular death) and microvascular (new or worsening nephropathy and retinopathy) events. Suspected primary outcomes were initially reported by the investigators at the 215 sites with subsequent adjudication by the EPAC. The EPAC also adjudicated upon potential events identified directly by ongoing screening of all reported events. Over a median follow-up of 5 years, the site investigators reported one or more primary outcomes among 2443 participants. After adjudication these events were confirmed for 2077 (85%) with 48 further events added through the EPAC-led database screening process. The estimated relative risk reductions (95% confidence intervals) in the primary outcome for the blood pressure lowering comparison were 8% (−1 to 15%) based on the investigator-reported events and 9% (0 to 17%) based on the EPAC-based events (P for homogeneity = 0.70). The corresponding findings for the glucose comparison were 8% (1 to 15%) and 10% (2% to 18%) (P for homogeneity = 0.60). The effect estimates were also highly comparable when studied separately for macrovascular events and microvascular events for both comparisons (all P for homogeneity>0.6). Conclusions The endpoint adjudication process had no discernible impact on the main findings in ADVANCE. These data highlight the need for careful consideration of the likely impact of an EPAC on the findings and conclusions of clinical trials prior to their establishment.
Journal of the American College of Cardiology | 2012
Rohina Joshi; Clara K. Chow; P. Krishnam Raju; K. Rama Raju; Arun Kumar Gottumukkala; K. Srinath Reddy; Stephen MacMahon; Stephane Heritier; Qiang Li; Rakhi Dandona; Bruce Neal
Cardiovascular disease (CVD) is a significant health problem in India with an estimated 3.7 million (29%) deaths and 32 million (11%) disability-adjusted life-years attributed to the disease each year ([1,2][1]). The CVD burden is expected to increase further with effective control of communicable
Journal of Medical Internet Research | 2009
David Peiris; Rohina Joshi; Ruth Webster; Patrick Groenestein; Tim Usherwood; Emma Heeley; Fiona Turnbull; Alexandra Lipman; Anushka Patel
Background Challenges remain in translating the well-established evidence for management of cardiovascular disease (CVD) risk into clinical practice. Although electronic clinical decision support (CDS) systems are known to improve practitioner performance, their development in Australian primary health care settings is limited. Objectives Study aims were to (1) develop a valid CDS tool that assists Australian general practitioners (GPs) in global CVD risk management, and (2) preliminarily evaluate its acceptability to GPs as a point-of-care resource for both general and underserved populations. Methods CVD risk estimation (based on Framingham algorithms) and risk-based management advice (using recommendations from six Australian guidelines) were programmed into a software package. Tool validation: Data from 137 patients attending a physician’s clinic were analyzed to compare the tool’s risk scores with those obtained from an independently programmed algorithm in a separate statistics package. The tool’s management advice was compared with a physician’s recommendations based on a manual review of the guidelines. Field test: The tool was then tested with 21 GPs from eight general practices and three Aboriginal Medical Services. Customized CDS-based recommendations were generated for 200 routinely attending patients (33% Aboriginal) using information extracted from the health record by a research assistant. GPs reviewed these recommendations during each consultation. Changes in CVD risk factor measurement and management were recorded. In-depth interviews with GPs were conducted. Results Validation testing: The tool’s risk assessment algorithm correlated very highly with the independently programmed version in the separate statistics package (intraclass correlation coefficient 0.999). For management advice, there were only two cases of disagreement between the tool and the physician. Field test: GPs found 77% (153/200) of patient outputs easy to understand and agreed with screening and prescribing recommendations in 72% and 64% of outputs, respectively; 26% of patients had their CVD risk factor history updated; 73% had at least one CVD risk factor measured or tests ordered. For people assessed at high CVD risk (n = 82), 10% and 9%, respectively, had lipid-lowering and BP-lowering medications commenced or dose adjustments made, while 7% newly commenced anti-platelet medications. Three key qualitative findings emerged: (1) GPs found the tool enabled a systematic approach to care; (2) the tool greatly influenced CVD risk communication; (3) successful implementation into routine care would require integration with practice software, minimal data entry, regular revision with updated guidelines, and a self-auditing feature. There were no substantive differences in study findings for Aboriginal Medical Services GPs, and the tool was generally considered appropriate for use with Aboriginal patients. Conclusion A fully-integrated, self-populating, and potentially Internet-based CDS tool could contribute to improved global CVD risk management in Australian primary health care. The findings from this study will inform a large-scale trial intervention.