Examining Primary Care Physicians' Intention to Perform Cervical Cancer Screening Services Using a Theory of Planned Behavior: A Structural Equation Modeling Approach.

Zhiqing Hu, Yanjun Sun, Yuhao Ma, Kejin Chen, Ling Lv, Lingling Wang, Yuan He
Author Information
  1. Zhiqing Hu: Institute of Medical Humanities, Nanjing Medical University, Nanjing, China.
  2. Yanjun Sun: Institute of Medical Humanities, Nanjing Medical University, Nanjing, China.
  3. Yuhao Ma: Institute of Medical Humanities, Nanjing Medical University, Nanjing, China.
  4. Kejin Chen: Department of Women's Healthcare, Changzhou Maternal and Child Health Care Centre, Changzhou, China.
  5. Ling Lv: Department of Women's Healthcare, Nanjing Maternity and Child Health Care Hospital, Nanjing, China.
  6. Lingling Wang: Department of Psychology, Kangning Hospital, Rushan, China.
  7. Yuan He: Institute of Medical Humanities, Nanjing Medical University, Nanjing, China.

Abstract

Background: Promoting Cervical Cancer screening (CCS) is undoubtedly effective in combating severe public health problems in developing countries, but there are challenges to its implementation. Understanding the factors influencing primary care physicians' intentions to provide CCSs to rural women is crucial for the future implementation of screening programs. The aim of this study was to assess the intentions of primary care physicians to provide Cervical Cancer screening services (CCSSs) to rural women and their determinants.
Methods: This cross-sectional study included 1,308 primary care physicians in rural primary health care, and the data collection tool was developed based on the theory of planned behavior (TPB), which included demographic characteristics, the basic constructs of TPB, and the degree of knowledge of CCSSs as an extended variable of the TPB model. Structural equation modeling was used to analyze the relationships between each factor.
Results: Pathway analysis found that TPB is an appropriate theoretical basis for predicting primary care physicians' intent to provide CCSSs (χ2/df = 2.234 < 3, RMSEA = 0.035, and SRMR = 0.034). Meanwhile, the structural equation model showed that attitude (β = 0.251, < 0.001), subjective norm (β = 0.311, < 0.001), perceived behavioral control (β = 0.162, < 0.001), and knowledge level (β = 0.152, < 0.01) positively predicted primary care physicians' intention to provide CCSSs.
Conclusions: TPB model, with the addition of knowledge, was useful in predicting primary care physicians' intention to provide CCSSs for rural Chinese women. The findings of this study provide a reference for the government and hospitals to develop strategies to improve the intent of primary care physicians to provide CCSSs.

Keywords

References

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MeSH Term

Cross-Sectional Studies
Early Detection of Cancer
Female
Humans
Intention
Latent Class Analysis
Physicians, Primary Care
Surveys and Questionnaires
Uterine Cervical Neoplasms

Word Cloud

Created with Highcharts 10.0.00primarycareprovide=CCSSsTPB<physicians'ruralphysiciansβcervicalcancerscreeningwomenstudyknowledgemodelequation001intentionhealthimplementationintentionsincludedtheoryplannedbehaviorStructuralmodelingpredictingintentstructuralBackground:PromotingCCSundoubtedlyeffectivecombatingseverepublicproblemsdevelopingcountrieschallengesUnderstandingfactorsinfluencingCCSscrucialfutureprogramsaimassessservicesdeterminantsMethods:cross-sectional1308datacollectiontooldevelopedbaseddemographiccharacteristicsbasicconstructsdegreeextendedvariableusedanalyzerelationshipsfactorResults:Pathwayanalysisfoundappropriatetheoreticalbasisχ2/df22343RMSEA035SRMR034Meanwhileshowedattitude251subjectivenorm311perceivedbehavioralcontrol162level15201positivelypredictedConclusions:additionusefulChinesefindingsreferencegovernmenthospitalsdevelopstrategiesimproveExaminingPrimaryCarePhysicians'IntentionPerformCervicalCancerScreeningServicesUsingTheoryPlannedBehavior:EquationModelingApproach

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