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Biomedical subjects

Muhammad Walji

Publications and source records attributed to Muhammad Walji.

11 recordsLinked to original sources

GWAS for Periodontitis Phenotypes Using Multi-Ancestry All of Us Research Platform.

Periodontitis is a multifactorial inflammatory disease whose pathogenesis is associated with intricate interactions between genetic and environmental factors. Leveraging electronic health records data from the All of Us Research Program, we stratified periodontitis by clinically relevant dimensions: stage, grade, and extent. Based on these phenotypes, we performed a multi-ancestry genome-wide association study, focusing on predominant ancestry populations of African, European, and Admixed American. Our study cohort comprised 3,881 periodontitis patients and a control group of 10,760 patients with dental caries and without periodontitis. Ancestry-specific GWAS revealed significant genetic associations (P<5&#xd7;10-8) in periodontitis grade phenotypes at the LINC00294 and CLMN loci in the African ancestry population and also confirmed via the multi-ancestry meta-analysis. In addition, the XYLT1 locus emerged as a significant signal associated with periodontitis grade phenotype in the admixed American GWAS. Our GWAS comparing periodontitis to dental caries in the admixed American population identified several significant loci, including RABGAP1L, previously linked to immune regulation, DCHS2, a cadherin-related gene involved in bone mineralization and tissue morphogenesis, and OSTM1, known to be crucial for bone remodeling. The findings of our study highlight the potential of integrating EHR and genomic data from large-scale biobanks to achieve informative dental phenotyping, uncover novel molecular insights into periodontal disease, and personalize treatment approaches.

Journal Article↗

Usability of quality measures for online health information: Can commonly used technical quality criteria be reliably assessed?

PURPOSE: Many criteria have been developed to rate the quality of online health information. To effectively evaluate quality, consumers must use quality criteria that can be reliably assessed. However, few instruments have been validated for inter-rater agreement. Therefore, we assessed the degree to which two raters could reliably assess 22 popularly cited quality criteria on a sample of 42 complementary and alternative medicine Web sites. METHODS: We determined the degree of inter-rater agreement by calculating the percentage agreement, Cohen's kappa, and prevalence- and bias-adjusted kappa (PABAK). RESULTS: Our un-calibrated analysis showed poor inter-rater agreement on eight of the 22 quality criteria. Therefore, we created operational definitions for each of the criteria, decreased the number of assessment choices and defined where to look for the information. As a result 18 of the 22 quality criteria were reliably assessed (inter-rater agreement > or = 0.6). CONCLUSIONS: We conclude that even with precise definitions, some commonly used quality criteria cannot be reliably assessed. However, inter-rater agreement can be improved with precise operational definitions.

Complementary Therapies↗

Instruments to assess the quality of health information on the World Wide Web: what can our patients actually use?

OBJECTIVE: To find and assess quality-rating instruments that can be used by health care consumers to assess websites displaying health information. DATA SOURCES: Searches of PubMed, the World Wide Web (using five different search engines), reference tracing from identified articles, and a review of the of the American Medical Informatics Association's annual symposium proceedings. REVIEW METHODS: Sources were examined for availability, number of elements, objectivity, and readability. RESULTS: A total of 273 distinct instruments were found and analyzed. Of these, 80 (29%) made evaluation criteria publicly available and 24 (8.7%) had 10 or fewer elements (items that a user has to assess to evaluate a website). Seven instruments consisted of elements that could all be evaluated objectively. Of these seven, one instrument consisted entirely of criteria with acceptable interobserver reliability (kappa> or =0.6); another instrument met readability standards. CONCLUSIONS: There are many quality-rating instruments, but few are likely to be practically usable by the intended audience.

Humans↗

Searching for cancer-related information online: unintended retrieval of complementary and alternative medicine information.

PURPOSE: The Web is an important source of health information for consumers. Use of complementary and alternative medicine (CAM) is also increasing. Therefore, we studied the likelihood that consumers will incidentally encounter CAM information while searching the Web and the factors that influence retrieval of CAM information. METHODS: We evaluated results retrieved by 10 cancer-related searches on six common search engines. RESULTS: Of 1121 search results, 16.2% displayed CAM information. Sponsored (i.e., paid) results were more likely to display CAM information than non-sponsored results (38% versus 7.5%, p < 0.001). In Overture and Google, sponsored results accounted for 51% and 39% of results on the first page. These search engines also retrieved more CAM web pages. Search engines distinguished sponsored and non-sponsored results, but disclosure statements describing the differences were confusing. Cancer type used as the search keyword did not influence the number of CAM web pages retrieved. However, synonyms of cancer differed in their retrieval of CAM web pages (p < 0.001). Consistent with prior studies of Web search engine overlap, we found that 28% of CAM results were retrieved by two or more search engines. CONCLUSIONS: Clinicians should help consumers recognize sponsored results and encourage search engines to clearly explain sponsored results.

Complementary Therapies↗

Human-centered design of a distributed knowledge management system.

Many healthcare technology projects fail due to the lack of consideration of human issues, such as workflow, organizational change, and usability, during the design and implementation stages of a project's development process. Even when human issues are considered, the consideration is typically on designing better user interfaces. We argue that human-centered computing goes beyond a better user interface: it should include considerations of users, functions and tasks that are fundamental to human-centered computing. From this perspective, we integrated a previously developed human-centered methodology with a Project Design Lifecycle, and we applied this integration in the design of a complex distributed knowledge management system for the Biomedical Engineer (BME) domain in the Mission Control Center at NASA Johnson Space Center. We analyzed this complex system, identified its problems, generated systems requirements, and provided specifications of a replacement prototype for effective organizational memory and knowledge management. We demonstrated the value provided by our human-centered approach and described the unique properties, structures, and processes discovered using this methodology and how they contributed in the design of the prototype.

Artificial Intelligence↗

Persuasive email messages for patient communication.

To improve health and reduce costs, we need to encourage patients to make better health care decisions. Since email is widely available, it may be useful for patient-directed interventions. However, we know little about how the contents of an email message can influence a health-related decision. We propose a model to understand how patients may process persuasive email messages.

Adult↗

Efficacy of quality criteria to identify potentially harmful information: a cross-sectional survey of complementary and alternative medicine web sites.

BACKGROUND: Many users search the Internet for answers to health questions. Complementary and alternative medicine (CAM) is a particularly common search topic. Because many CAM therapies do not require a clinician's prescription, false or misleading CAM information may be more dangerous than information about traditional therapies. Many quality criteria have been suggested to filter out potentially harmful online health information. However, assessing the accuracy of CAM information is uniquely challenging since CAM is generally not supported by conventional literature. OBJECTIVE: The purpose of this study is to determine whether domain-independent technical quality criteria can identify potentially harmful online CAM content. METHODS: We analyzed 150 Web sites retrieved from a search for the three most popular herbs: ginseng, ginkgo and St. John's wort and their purported uses on the ten most commonly used search engines. The presence of technical quality criteria as well as potentially harmful statements (commissions) and vital information that should have been mentioned (omissions) was recorded. RESULTS: Thirty-eight sites (25%) contained statements that could lead to direct physical harm if acted upon. One hundred forty five sites (97%) had omitted information. We found no relationship between technical quality criteria and potentially harmful information. CONCLUSIONS: Current technical quality criteria do not identify potentially harmful CAM information online. Consumers should be warned to use other means of validation or to trust only known sites. Quality criteria that consider the uniqueness of CAM must be developed and validated.

Complementary Therapies↗

Inter-observer agreement for quality measures applied to online health information.

Many quality criteria have been developed to rate the quality of online health information. However, few instruments have been validated for inter-observer reliability. Therefore, we assessed the degree to which two raters agree upon the presence or absence of information based on 22 popularly cited quality criteria on a sample of 21 complementary and alternative medicine websites. Our preliminary analysis showed a poor inter-rater agreement on 10 out of the 22 quality criteria. Therefore, we created operational definitions for each of the criteria, decreased the allowed choices and defined a location to look for the information. As a result 15 out of the 22 quality criteria had a kappa >0.6. We conclude that even with precise definitions some commonly used quality criteria to assess the quality of health information online cannot be reliably assessed. However, inter-rater agreement can be improved by providing precise operational definitions.

Complementary Therapies↗

Cancer-related complementary and alternative medicine online: factors affecting information retrieval.

Cancer patients increasingly turn to the Internet for health information. As the use of complementary and alternative medicine (CAM) is also increasing, we studied the likelihood that consumers will incidentally encounter CAM information while searching the Internet and the factors that influence CAM information retrieval. We evaluated results retrieved from ten cancer-related searches in six common search engines, and found that 16.2% of 1121 results contained CAM information. Sponsored (i.e. paid) results contained more CAM information than non-sponsored results (38% vs. 7.5%, p<0.001). Sponsored results in the Overture and Google search engines accounted for 51% and 39% of results on the first page. These search engines also retrieved the most CAM web pages. The type of cancer used as the search keyword did not influence the number of CAM-related web pages retrieved. However, the synonyms of cancer used as search keywords differed in their retrieval of CAM web pages (p<0.001). We conclude that clinicians should help consumers recognize sponsored listings and encourage search engines to clearly identify sponsored results.

Complementary Therapies↗

Decision support systems to identify different species of malarial parasites.

In this project, medical expert systems were designed to aid technicians, students and scientists in identifying various species of malarial parasite from blood smears. The rule based system was found to intelligently ask pertinent questions to accurately and efficiently identify the species of malarial parasite. The probabilistic system provided quantitative feedback as to the likelihood of a diagnosis of a species of malaria. Medical expert systems can potentially streamline the process of malarial species identification, and can aid in training new technicians and scientists in this important skill.

Animals↗

Evaluating the prevalence, content and readability of complementary and alternative medicine (CAM) web pages on the internet.

Complementary and alternative medicine (CAM) use is growing rapidly. As CAM is relatively unregulated, it is important to evaluate the type and availability of CAM information. The goal of this study is to deter-mine the prevalence, content and readability of online CAM information based on searches for arthritis, diabetes and fibromyalgia using four common search engines. Fifty-eight of 599 web pages retrieved by a "condition search" (9.6%) were CAM-oriented. Of 216 CAM pages found by the "condition" and "condition + herbs" searches, 78% were authored by commercial organizations, whose pur-pose involved commerce 69% of the time and 52.3% had no references. Although 98% of the CAM information was intended for consumers, the mean read-ability was at grade level 11. We conclude that consumers searching the web for health information are likely to encounter consumer-oriented CAM advertising, which is difficult to read and is not supported by the conventional literature.

Complementary Therapies↗