Evidence map›Paper›PMID 29546440›Full record

ArticleInternational journal of public health2018

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.

Shadi Saleh, Mohamad Alameddine, Angie Farah, Nour El Arnaout, Hani Dimassi, Carles Muntaner, Christo El Morr

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In one paragraph

Article in International journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shadi SalehDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Riad El Solh, Beirut, 1107 2020, Lebanon.
Mohamad AlameddineDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Riad El Solh, Beirut, 1107 2020, Lebanon. ma164@aub.edu.lb.ORCID http://orcid.org/0000-0002-2299-1242
Angie FarahDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Riad El Solh, Beirut, 1107 2020, Lebanon.
Nour El ArnaoutGlobal Health Institute, American University of Beirut, Riad El Solh, Beirut, 1107 2020, Lebanon.
Hani DimassiSchool of Pharmacy, Lebanese American University, Beirut, Lebanon.
Carles MuntanerBloomberg Faculty of Nursing, Dalla Lana School of Public Health and Department of Psychiatry, School of Medicine University of Toronto, Suite 381, HSB, 155 College Street, Toronto, ON, M5T 1P8, Canada.
Christo El MorrHealth Informatics, School of Health Policy and Management, Faculty of Health, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.

Funding

International Development Research Centre (CA) 102738
6 · The paper itself

Abstract

objectivesAssess 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).

methodsCommunity-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.

resultsAmong 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.

conclusionsLow-cost eHealth netbook application was deemed effective in identifying new cases of NCDs and establishing appropriate referrals in underserved communities.

Indexed as

RefugeesAdultAgedDiabetes MellitusFemaleHealth Services AccessibilityHumansHypertensionLebanonMaleMiddle AgedNoncommunicable DiseasesPrimary Health CareReferral and ConsultationRural Health ServicesSocioeconomic FactorsAppointment no-showDiabeteseHealthHypertensionPrimary healthcareReferrals

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.