Evidence map›Paper›PMID 30155746›Full record

ArticleJournal of medical systems2018

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

Sajith Vellappally, Abdulaziz A Al Kheraif, Sukumaran Anil, Mansour K Assery, K Aswini Kumar, Darshan Devang Divakar

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Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sajith VellappallyDental Health Department, Dental Biomaterials Research Chair, College of Applied Medical Sciences, King Saud University, P.O Box 10219, Riyadh, 11433, Saudi Arabia. sajithvn1234@gmail.com.ORCID http://orcid.org/0000-0003-0373-0984
Abdulaziz A Al KheraifDental Health Department, Dental Biomaterials Research Chair, College of Applied Medical Sciences, King Saud University, P.O Box 10219, Riyadh, 11433, Saudi Arabia.
Sukumaran AnilDepartment of Periodontics, Saveetha Dental College and Hospitals, Saveetha University, Poonamallee High Road, Chennai, 600077, India.
Mansour K AsseryRiyadh Colleges of Dentistry and Pharmacy, Riyadh, Saudi Arabia.
K Aswini KumarDepartment of Prosthodontics and Implantology, Amrita School of Dentistry, Cochin, India.
Darshan Devang DivakarDental Health Department, Dental Biomaterials Research Chair, College of Applied Medical Sciences, King Saud University, P.O Box 10219, Riyadh, 11433, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Logistic ModelsOral HealthPhysician-Patient RelationsAdolescentAdultChildChild, PreschoolCommunicationHumansInfantMiddle AgedPhysiciansYoung AdultDental problemDental surgical detailsParticle-memetic multivariable logistic regressionPatient and doctor relationshipPublic dental health aspects

Identifiers

PMID30155746

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