Title |
eHealth as a facilitator of equitable access to primary healthcare: the case of caring for non-communicable diseases in rural and refugee settings in Lebanon
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Published in |
International Journal of Public Health, March 2018
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DOI | 10.1007/s00038-018-1092-8 |
Pubmed ID | |
Authors |
Shadi Saleh, Mohamad Alameddine, Angie Farah, Nour El Arnaout, Hani Dimassi, Carles Muntaner, Christo El Morr |
Abstract |
Assess the effect of selected low-cost eHealth tools on diabetes/hypertension detection and referrals rates in rural settings and refugee camps in Lebanon and explore the barriers to showing-up to scheduled appointments at Primary Healthcare Centers (PHC). Community-based screening for diabetes and hypertension was conducted in five rural and three refugee camp PHCs using an eHealth netbook application. Remote referrals were generated based on pre-set criteria. A phone survey was subsequently conducted to assess the rate and causes of no-shows to scheduled appointments. Associations between the independent variables and the outcome of referrals were then tested. Among 3481 screened individuals, diabetes, hypertension, and comorbidity were detected in 184,356 and 113 per 1000 individuals, respectively. 37.1% of referred individuals reported not showing-up to scheduled appointments, owing to feeling better/symptoms resolved (36.9%) and having another obligation (26.1%). The knowledge of referral reasons and the employment status were significantly associated with appointment show-ups. Low-cost eHealth netbook application was deemed effective in identifying new cases of NCDs and establishing appropriate referrals in underserved communities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Lebanon | 6 | 40% |
Tanzania, United Republic of | 2 | 13% |
Canada | 1 | 7% |
Netherlands | 1 | 7% |
United Kingdom | 1 | 7% |
United Arab Emirates | 1 | 7% |
Unknown | 3 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 47% |
Scientists | 4 | 27% |
Practitioners (doctors, other healthcare professionals) | 4 | 27% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 197 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 35 | 18% |
Student > Bachelor | 23 | 12% |
Student > Ph. D. Student | 22 | 11% |
Researcher | 17 | 9% |
Student > Doctoral Student | 16 | 8% |
Other | 35 | 18% |
Unknown | 49 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 42 | 21% |
Nursing and Health Professions | 36 | 18% |
Social Sciences | 16 | 8% |
Computer Science | 8 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 3% |
Other | 27 | 14% |
Unknown | 62 | 31% |