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Analyzing Relationship between Patient and Doctor in Public Dental Health using Particle Memetic Multivariable Logistic Regression Analysis Approach (MLRA2)

  • Systems-Level Quality Improvement
  • Published:
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Abstract

In the developing technology managing patient and doctor relationship and communication process is one of the critical factors because the patient may take high risk surgery, treatment and diagnosis. Due to the importance of the patient-doctor relationship, in this paper investigate the various aspects of relation between the doctor and dental problem related patients. During the analyzing process, data has been collected from adults who are facing dental problems and other dental injuries in which data has been gathered from 423 individuals by conducting interviews. The gathered data is investigated with the help of particle-memetic multivariable logistic regression analysis method which examines the patient income, dental surgical details, injuries and other factors relationship has been investigated. From the analyzed data, how the patients are treated by doctors examined for improving the relationship between patient and doctor in public dental health aspects.

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Acknowledgements

The authors are grateful to the deanship of Scientific Research, King Saud University for funding through Vice Deanship of Scientific Research Chairs.

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Authors and Affiliations

  1. Dental Health Department, Dental Biomaterials Research Chair, College of Applied Medical Sciences, King Saud University, P.O Box 10219, Riyadh, 11433, Saudi Arabia

    Sajith Vellappally, Abdulaziz A. Al Kheraif & Darshan Devang Divakar

  2. Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha University, Poonamallee High Road, Chennai, 600077, India

    Sukumaran Anil

  3. Riyadh Colleges of Dentistry and Pharmacy, Riyadh, Saudi Arabia

    Mansour K. Assery

  4. Department of Prosthodontics and Implantology, Amrita School of Dentistry, Cochin, India

    K. Aswini Kumar

Authors
  1. Sajith Vellappally
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  2. Abdulaziz A. Al Kheraif
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  3. Sukumaran Anil
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  4. Mansour K. Assery
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  5. K. Aswini Kumar
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  6. Darshan Devang Divakar
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Corresponding author

Correspondence to Sajith Vellappally.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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All authors declare that they have no conflict of interests.

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Informed consent was obtained from all individual participants included in the study.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Vellappally, S., Al Kheraif, A.A., Anil, S. et al. Analyzing Relationship between Patient and Doctor in Public Dental Health using Particle Memetic Multivariable Logistic Regression Analysis Approach (MLRA2). J Med Syst 42, 183 (2018). https://doi.org/10.1007/s10916-018-1037-z

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  • DOI: https://doi.org/10.1007/s10916-018-1037-z

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