Health beliefs as a predictor of screening behaviors among college students

Assessing knowledge of sickle cell disease and health beliefs on premarital genetic screening among healthcare trainees at a tertiary institution: A cross-sectional study

Background

The uptake of sickle cell trait (SCT) test is challenged by several factors. A community of healthcare professionals educating the public to undergo screening is critical in reducing the disease burden. We investigated knowledge and attitude towards premarital SCT screening among healthcare trainee students who are the next generation of healthcare practitioners.

Methods

A cross-sectional design was employed, and quantitative data were collected from 451 female students pursuing healthcare programs at a tertiary institution in Ghana. Descriptive, bivariate, and multivariate logistic regression analysis was performed.

Results

More than half of the participants were 20-24 years (54.55%) and had good knowledge (71.18%) about sickle cell disease (SCD). Age and school or social media as sources of information were significantly associated with good knowledge about SCD. Students between the age 20-24 (adjusted odds ratio [AOR] = 2.54, confidence interval [CI] = 1.30-4.97) and knowledge (AOR = 2.19, CI = 1.41-3.39) were 3 times and 2 times more likely to have a positive perception about SCD severity. Students who have SCT (AOR = 5.16, CI = 2.46-10.82), whose source of information was family member/friends (AOR = 2.83, CI = 1.44-5.59) and social media (AOR = 4.59, CI = 2.09-10.12) were 5 times, 2 times and 5 times likely to have a positive perception about the susceptibility of SCD. Students whose source of information is school (AOR = 2.06, CI = 1.11-3.81) and who have good knowledge of SCD (AOR = 2.25, CI = 1.44-3.52) were 2 times more likely to have a positive perception about the benefits of testing. Students with SCT (AOR = 2.64, CI = 1.36-5.13) and source of information was social media (AOR = 3.01, CI = 1.36-6.64) were about 3 times more likely to have a positive perception about the barriers to testing.

Conclusion

Our data shows that high level of SCD knowledge influences positive perceptions about the severity of SCD, the benefits and relatively low barriers to SCT or SCD testing and genetic counseling. Dissemination of SCT, SCD and premarital genetic counseling education should be intensified especially in schools.

Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia

Background

Despite being a preventable disease, cervical cancer continues to be a public health concern, affecting mainly lower and middle-income countries. Therefore, in Bogotá a home-visit based program was instituted to increase screening uptake. However, around 40% of the visited women fail to attend their Pap smear test appointments. Using this program as a case study, this paper presents a methodology that combines machine learning methods, using routinely collected administrative data, with Champion’s Health Belief Model to assess women’s beliefs about cervical cancer screening. The aim is to improve the cost-effectiveness of behavioural interventions aiming to increase attendance for screening. The results presented here relate specifically to the case study, but the methodology is generic and can be applied in all low-income settings.

Methods

This is a cross-sectional study using two different datasets from the same population and a sequential modelling approach. To assess beliefs, we used a 37-item questionnaire to measure the constructs of the CHBM towards cervical cancer screening. Data were collected through a face-to-face survey (N = 1699). We examined instrument reliability using Cronbach’s coefficient and performed a principal component analysis to assess construct validity. Then, Kruskal–Wallis and Dunn tests were conducted to analyse differences on the HBM scores, among patients with different poverty levels. Next, we used data retrieved from administrative health records (N = 23,370) to fit a LASSO regression model to predict individual no-show probabilities. Finally, we used the results of the CHBM in the LASSO model to improve its accuracy.

Results

Nine components were identified accounting for 57.7% of the variability of our data. Lower income patients were found to have a lower Health motivation score (p-value < 0.001), a higher Severity score (p-value < 0.001) and a higher Barriers score (p-value < 0.001). Additionally, patients between 25 and 30 years old and with higher poverty levels are less likely to attend their appointments (O.R 0.93 (CI: 0.83–0.98) and 0.74 (CI: 0.66–0.85), respectively). We also found a relationship between the CHBM scores and the patient attendance probability. Average AUROC score for our prediction model is 0.9.

Conclusion

In the case of Bogotá, our results highlight the need to develop education campaigns to address misconceptions about the disease mortality and treatment (aiming at decreasing perceived severity), particularly among younger patients living in extreme poverty. Additionally, it is important to conduct an economic evaluation of screening options to strengthen the cervical cancer screening program (to reduce perceived barriers). More widely, our prediction approach has the potential to improve the cost-effectiveness of behavioural interventions to increase attendance for screening in developing countries where funding is limited.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01800-3.