Indoor air quality and its relationship with cluster type in urban Pakistani households.

OBJECTIVE: To assess the levels and predictors of formaldehyde, nitrogen dioxide (NO2), carbon monoxide (CO) and fine particulate matter with diameter less than 2.5 µm (PM2.5) in Karachi, Pakistan.METHODS: A total of 1629 households were selected through multistage cluster sampling in a community-based cross-sectional survey. Formaldehyde, NO2 and CO levels were measured using YesAir Indoor air monitor and for PM2.5, UCB-PATS (University of California Berkeley Particle and Temperature Sensor) was used. Clusters were classified either as planned (areas of planned housing) or unplanned (informal settlements).RESULTS: We found the median concentrations to be as follows: formaldehyde, 0.03 ppm (IQR 0.00-0.090); CO, 0.00 ppm (IQR 0.00-1.00); NO2, 0 ppm (IQR 0.00-0.00) and PM2.5, 0.278 mg/m³ (IQR 0.162-0.526). We found a significant association of the upper quartiles of formaldehyde and PM2.5 levels with type of cluster. The risk of obtaining formaldehyde and PM2.5 levels in the upper quartile was higher in unplanned clusters than in planned clusters (adjusted odds ratio [aOR] 33.0, 95% CI 4.02-271.5 and aOR 0.10, 95% CI 0.001-0.16, respectively). No significant association was observed between levels of CO and cluster type (aOR 0.84, 95%CI 0.62-1.14).CONCLUSION: This study reports high levels of indoor air pollutants in Karachi, with considerable variation across planned vs. unplanned clusters.

Prevalence of and risk factors for respiratory symptoms in an adult urban population.

OBJECTIVE: To determine prevalence of and risk factors for respiratory symptoms in an adult urban Pakistani population.METHODS: We conducted a multi-stage, community-based, cross-sectional survey from May 2014 to August 2015, comprising 1629 adults from 75 random clusters in Karachi using questionnaire-based interviews.RESULTS: Around 60% of participants were females and 43% belonged to the >37 years age group. At least one respiratory symptom was reported by 37.5% of participants. Breathlessness was the most common symptom (25.2%, 95%CI 23.1-27.3), followed by acute wheeze (10.1%, 95%CI 8.7-11.7). Multivariable models revealed that males and those aged >37 years were more likely to report acute and chronic phlegm and bronchitis, and breathlessness. Participants with a higher level of education were less likely to report acute and chronic cough. Participants with >5 years pack-years of smoking were more likely to report acute and chronic cough and breathlessness. Other risk factors included passive smoking, regular use of air conditioning and mosquito coils, wet spots and mould in the house, and exposure to dusty jobs.CONCLUSION: We found breathlessness to be the most prevalent respiratory symptom and identified various risk factors for respiratory symptoms.

A COSTAR interface using WWW technology.

The concentration of industry on modern relational databases has left many nonrelational and proprietary databases without support for integration with new technologies. Emerging interface tools and data-access methodologies can be applied with difficulty to medical record systems which have proprietary data representation. Users of such medical record systems usually must access the clinical content of such record systems with keyboard-intensive and time-consuming interfaces. COSTAR is a legacy ambulatory medical record system developed over 25 years ago that is still popular and extensively used at the Massachusetts General Hospital. We define a model for using middle layer services to extract and cache data from non-relational databases, and present an intuitive World-Wide Web interface to COSTAR. This model has been implemented and successfully piloted in the Internal Medicine Associates at Massachusetts General Hospital.

Experiences in deployment of a Web-based CIS for referring physicians.

Improving the timeliness and efficiency of information exchange between the hospital and clinicians in the health care community is an area of active interest at the Massachusetts General Hospital (MGH). Providing computer-based access to referring physicians who are not formally affiliated with the hospital is a particular challenge since these offices are not connected to the hospital network and lack the standard hospital workstation hardware and software. Installing clients for the hospital's clinical applications at these sites has been a difficult and costly proposition. The emergence of Web technology yields an alternative method for developing clinical applications for this remote, diverse user population. We present our experiences during the first six months of deployment of a Web-based clinical information system designed for use by referring physicians.

Using software agents to maintain autonomous patient registries for clinical research.

A software agent is an application that can function in an autonomous and intelligent fashion. We have used mobile software agents to maintain clinicians' patient research databases (patient registries). Agents were used to acquire data from the clinician and place it into the registries, copy data from hospital databases into the registries, and report data from the registries. The agents were programmed with the intelligence to navigate through complex network security, interact with legacy systems, and protect themselves from various forms of failure at multiple levels. To maximize the separation between our system and the hospital information infrastructure we often used Java, a platform-independent language, to program and distribute our software agents. By using mobile agents, we were able to distribute the computing time required by these applications to underutilized host machines upon which the registries could be maintained.