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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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A comparative evaluation of PDQ-Evidence.

Marit Johansen1, Gabriel Rada2,3,4, Sarah Rosenbaum5

  • 1Global Health Cluster, Norwegian Institute of Public Health, PO Box 4404, Nydalen, N-0403, Oslo, Norway. marit.johansen@fhi.no.

Health Research Policy and Systems
|March 17, 2018
PubMed
Summary

PDQ-Evidence is an efficient database for finding health system evidence, comparable to other major resources. However, its user interface may not be intuitive for all users.

Keywords:
Bibliographic databasesClearing houseComparative studyDatabase searchingEvidence-informed health policyHealth policyHealth systemsInformation retrievalSearch engineSearch strategiesSystematic reviews

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Area of Science:

  • Health Systems Research
  • Evidence Synthesis
  • Information Retrieval

Background:

  • Developing accessible databases for health system evidence is crucial for timely decision-making.
  • PDQ-Evidence was created as a freely available, searchable database for systematic reviews.
  • This study aimed to evaluate PDQ-Evidence's performance against other leading databases.

Purpose of the Study:

  • To compare the efficiency of PDQ-Evidence with six other health evidence databases.
  • To assess user experience and time taken to find systematic reviews across different databases.
  • To gather user feedback on PDQ-Evidence for potential improvements.

Main Methods:

  • A comparative study involving 89 healthcare policy-makers, managers, and researchers from 21 countries.
  • Participants searched PDQ-Evidence and two other selected databases for systematic reviews.
  • Outcomes measured included successful retrieval of reviews, time taken, and perceived ease of use.

Main Results:

  • PDQ-Evidence demonstrated higher success rates than Cochrane Library and PubMed for pre-defined questions.
  • Search time was slightly reduced using PDQ-Evidence, with users perceiving it as easier to use.
  • User feedback on PDQ-Evidence's design was mixed, indicating some intuitiveness challenges.

Conclusions:

  • PDQ-Evidence is a valuable and efficient tool for accessing health system evidence.
  • While effective, PDQ-Evidence's usability can be improved for greater intuitiveness.
  • Further development may enhance user experience and accessibility of health evidence resources.