Julie Hennegan, Md Tanvir Hasan, Abdul Jabbar, Tasfiyah Jalil, Elissa Kennedy, Erin Hunter, Adrita Kaiser, Sabina Akter, Afreen Zaman, Mahfuj-Ur Rahman, Laura Dunstan, Alexandra Head, Nick Scott, Helen Anne Weiss, Thin Mar Win, G J Melendez-Torres, Kyu Kyu Than, Chad L Hughes, Sonia Grover, Mahadi Hasan, Sabina Faiz Rashid, Peter Azzopardi
Protocol for the Adolescent Menstrual Experiences and Health Cohort (AMEHC) Study in Khulna, Bangladesh: A Prospective cohort to quantify the influence of menstrual health on adolescent girls' health and education outcomes
BMJ open
chronic diseases leading causes death disability growing patient population climbing health care expenditures researchers policy makers seeking new approaches improve accessibility health information chronic diseases lowering costs online health information sources play substantial role effective patient education health communication however contradictory evidence suggests patients chronic conditions may necessarily seek online health information study aims integrate 2 theories ie health belief model social support theory critical health literacy perspective understand online health information seeking ohis among patients chronic conditions used survey method collect data online chronic disease communities groups social media platforms eligible participants consumers least 1 chronic condition experience ohis total 390 valid questionnaires collected partial least squares approach structural equation modeling employed analyze data results suggested perceived risk t3989 p001 perceived benefits t3632 p001 significantly affected patients ohis perceived susceptibility t7743 p001 perceived severity t8852 p001 found influence perceived risk chronic diseases significantly informational support t5761 p001 emotional support t5748 p001 also impacted perceived benefits online sources patients addition moderation analysis showed critical health literacy significantly moderated link perceived risk ohis t3097 p002 relationship perceived benefits ohis t0288 p774 study shows health belief model combined social support theory predict patients ohis perceived susceptibility severity effectively explain perceived risk predicting patients ohis informational support emotional support contribute perceived benefits thereby positively affecting patients ohis study also demonstrated important negative moderating effects critical health literacy association perceived risk ohis