Why Pakistani medical graduates must remain free to emigrate

What is forgotten in the debate on brain drain, say the authors, is that some doctors who emigrate to the West have every intention of returning after their higher-level training overseas

Factors associated with non-adherence among psychiatric patients at a tertiary care hospital, Karachi, Pakistan: a questionnaire based cross-sectional study

OBJECTIVE: To elucidate predictors of non-adherence among psychiatric patients presenting at a tertiary care hospital of Pakistan, for follow-up with consultant psychiatrist. METHODS: A convenient sampleof psychiatric patients from Aga Khan University Hospital was enrolled between April and May, 2005. An interviewer assisted, standardized questionnaire was used for data collection. Patients with cognitive deficit or psychosis and those presenting for the first time were not included in the study. RESULTS: Out of 128 patients, those with co-morbidity (32.81%) were less adherent than those without comorbidity (p-value:0.002). Adherence among depressed was 61.53%; psychotic was 58.82%; bipolar disorder was 73.91%. Reasons for non-adherence included sedation (30%), medication cost (22%), forgot to take medication (36%); and inability of the physicians to explain timing and dose (92%) or benefit of medication (76%). CONCLUSIONS: Non-adherence is a common and important issue. Treatment cost and co-morbidity should be reviewed in order to keep the medication regime affordable and comprehensible

Awareness of stroke risk factors, signs and treatment in a Pakistani population

OBJECTIVE: To assess the level of awareness in the general public on risk factors, symptomatology and immediate treatment of stroke.METHOD: A cross sectional study was conducted in a sample of subjects visiting a tertiary care university hospital by means of a self-designed questionnaire. The study period extended between May and June, 2007.RESULTS: A total of 398 individuals were surveyed. Hypertension (69.1%) and stress (55.8%) were identified as two major risk factors for stroke. Among them 50.8% identified Brain as the principal organ involved in stroke out of which 78.2% of the response came from people whose level of education was intermediate-and-above. Around 13% of the study respondents did not know of any risk factor for stroke, while 11.6% of the study respondents didn\u27t know about the alarming signs of stroke. The most frequent response (26.16%) to immediate management of stroke was to take the individual to Emergency Department/hospital. In all 56% reported that basic information about stroke was given to them by friend/relative.CONCLUSIONS: The overall awareness of the study population regarding stroke was shown to be inadequate by this study. Knowledge was significantly greater in participants of younger age and a higher level of education

Identifying people at high risk for developing sleep apnea syndrome (SAS): a cross-sectional study in a Pakistani population

<p>Abstract</p> <p>Background</p> <p>Obstructive Sleep Apnea (OSA) is associated with many cardiovascular and psychiatric diseases. Day-time sleepiness is a common consequence of sleep apnea and correlates with road-traffic accidents (RTA). Pakistan has a high prevalence of factors which predispose an individual to OSA and death from RTAs are a huge burden. However there is a dearth of prevalence studies in this regard. We aim to understand local relevance of the disease and estimate the prevalence of individuals high-risk for OSA.</p> <p>Methods</p> <p>This cross-sectional survey was conducted among 450 individuals at Aga Khan University Hospital (AKUH), which is a tertiary care teaching hospital in Pakistan. We used the BQ as our measurement tool. Based on the responses, participants were grouped into high or low-risk for OSA.</p> <p>Results</p> <p>Our study sample size was 418 with 63.2% males. Mean age of our study population was 30.4 SD +/- 12.3 years; and mean BMI was 23.2 SD +/- 5 kg/m2. Out of the total sample size 24.9% reported snoring and there were twice as many males who snored as compared to females. Forty-five individuals reported that they had nodded off to sleep while driving at least once in their lifetime. On the other hand, the highest proportion of high risk individuals 47.6% was found in the age group 60 or above. The overall prevalence of individuals who were high risk for sleep apnea was 10%.</p> <p>Conclusion</p> <p>A significant proportion of the population is at high-risk for OSA. Our study shows that despite low BMI and favorable craniofacial anatomy sleep apnea is still a locally relevant disease. Given the local relevance of OSAS, it is important to increase awareness among general population but more importantly among physicians of the developing countries, like Pakistan, about common clinical features and pertinent risk factors and complications of OSAS.</p

The Karachi intracranial stenosis study (KISS) Protocol: an urban multicenter case-control investigation reporting the clinical, radiologic and biochemical associations of intracranial stenosis in Pakistan.

Background: Intracranial stenosis is the most common cause of stroke among Asians. It has a poor prognosis with a high rate of recurrence. No effective medical or surgical treatment modality has been developed for the treatment of stroke due to intracranial stenosis. We aim to identify risk factors and biomarkers for intracranial stenosis and to develop techniques such as use of transcranial doppler to help diagnose intracranial stenosis in a cost-effective manner. Methods/Design: The Karachi Intracranial Stenosis Study (KISS) is a prospective, observational, case-control study to describe the clinical features and determine the risk factors of patients with stroke due to intracranial stenosis and compare them to those with stroke due to other etiologies as well as to unaffected individuals. We plan to recruit 200 patients with stroke due to intracranial stenosis and two control groups each of 150 matched individuals. The first set of controls will include patients with ischemic stroke that is due to other atherosclerotic mechanisms specifically lacunar and cardioembolic strokes. The second group will consist of stroke free individuals. Standardized interviews will be conducted to determine demographic, medical, social, and behavioral variables along with baseline medications. Mandatory procedures for inclusion in the study are clinical confirmation of stroke by a healthcare professional within 72 hours of onset, 12 lead electrocardiogram, and neuroimaging. In addition, lipid profile, serum glucose, creatinine and HbA1C will be measured in all participants. Ancillary tests will include carotid ultrasound, transcranial doppler and magnetic resonance or computed tomography angiogram to rule out concurrent carotid disease. Echocardiogram and other additional investigations will be performed at these centers at the discretion of the regional physicians. Discussion: The results of this study will help inform locally relevant clinical guidelines and effective public health and individual interventions

Factors related to knowledge and perception of women about smoking: a cross sectional study from a developing country

<p>Abstract</p> <p>Background</p> <p>Smoking rates among women are currently low, but they are the fastest growing segment of cigarette smoking population in developing countries. We aimed to assess the knowledge and perceptions towards smoking and to identify the factors related with level of knowledge and perceptions among adult women in urban slums.</p> <p>Methods</p> <p>This was a cross sectional study conducted on 250 adult (≥18 years of age) women attending primary care clinics in three slums of Karachi, Pakistan. A pre-tested and structured, interviewer administered questionnaire was used for data collection. Factors associated with level of understanding about smoking were analyzed with chi-square test.</p> <p>Results</p> <p>Most of the women knew that smoking has adverse effects on women and children's health but the knowledge of specific health effects was limited. About one third of the women knew that active smoking can cause lung disease, but only a small percentage (7%) knew that it could lead to heart disease. None of the women were aware that smoking contributes to infertility and osteoporosis. A small proportion of women were aware that smoking can lead to low birth weight (7%), congenital anomalies (5%) and less than 1% of women knew that it contributes to pregnancy loss, still birth and preterm delivery. The understanding of passive smoking affecting children's lung was low (20%) and a similar proportion voiced concern about the bad influence of maternal smoking on children. Educated women had better knowledge of health effects of smoking. Education was associated with having better knowledge about effects on women health in general (p = 0.02) and specific effects like lung (p = 0.03) and reproductive health effects (p < 0.001). Education was also associated with knowledge regarding effects on fetus (p < 0.001) and children (p < 0.005). Although most of the women disliked being around smokers, more than one third thought that smoking decreases boredom (39%), tension (38%) and also helps to relax (40%). A large proportion (48%) of women had the misconception that smoking helps to reduce weight.</p> <p>Conclusions</p> <p>This study reveals that women are aware of the general ill effects of smoking but fail to identify smoking to be associated with female maladies particularly those who were illiterate and had lower levels of education. Understanding and attitudes needs to be improved by increasing health awareness and education of women in these urban communities with special emphasis on the effects of smoking on women's health.</p

Towards Motivating Machines: Computational Modeling of the Mechanism of Actions for Effective Digital Health Behavior Change Applications

When Desiderius Erasmus said, “Prevention is better than cure,” the technologies to measure health and behavior data at any time were not omnipresent. Now, when those technologies are available, they are not fully utilized to influence human health behavior for preventing chronic diseases. Chronic diseases are the main threat to global health, with non-communicable diseases responsible for about two-thirds of deaths worldwide. Overcoming unhealthy behaviors like smoking, poor diet, physical inactivity, excessive alcohol consumption, etc., can reduce the risk of developing a chronic disease and increase the likelihood of a healthy life. Understanding and changing human behavior using digital technologies is complicated because many individual, societal, and policy factors are involved. Several theories and models explain the underlying processes of human behavior change. Still, new or updating of existing models are required to utilize the potential of modern technologies that can collect data at very detailed levels. More complex models can then be used for effective and intelligent systems that decide when, where, and how to intervene. Towards advancing the models and theories of human health behavior change, this thesis first provides a thorough insight into digital health behavior change research through bibliometric and scoping review. Second, it presents computational models of underlying determinants and processes of human behavior change based on cognitive, neuro, and behavioral sciences knowledge. For instance, how motivation is generated and regulated and how appraisal components work in an emotional episode. Lastly, it investigates the added value of using a computational model of the targeted determinants, e.g., a model of motivation as a mechanism of action in a digital health intervention. A proof of concept called MoM: Motivation to Move was designed as a digital health intervention to demonstrate its feasibility. A two-arm single-blinded study was conducted, and a special mobile app was developed to deliver an intervention. The model-based intervention has more encouraging results than the control group in personalization and efficacy. This thesis substantially contributes to the digital health behavior change field by identifying gaps, trends, and advancements in developing dynamic computational models and theories to define when and where behavioral change strategies would work effectively