| Literature DB >> 29544498 |
Loai Albarqouni1, Khamis Elessi2, Niveen M E Abu-Rmeileh3.
Abstract
BACKGROUND: Research conducted on conditions responsible for the greatest disease burden should be given the highest priority, particularly in resource-limited settings. The present study aimed to assess the research output in relation to disease burden in Palestine and to identify the conditions which are under- or over-investigated, if any.Entities:
Keywords: Health systems research; observatory; priority-setting; research agenda; research and development
Mesh:
Year: 2018 PMID: 29544498 PMCID: PMC5856204 DOI: 10.1186/s12961-018-0302-4
Source DB: PubMed Journal: Health Res Policy Syst ISSN: 1478-4505
Fig. 1PRISMA Flowchart of the study selection process
Characteristics of included studies (n = 511)
| No. of studies (%) | |
|---|---|
| Total | 511 (100) |
| Affiliation(s) of the first author | |
| Palestine | 361 (70.6) |
| Regional | 35 (6.9) |
| International | 115 (22.5) |
| Collaborations | |
| The same Palestinian institution | 88 (17.2) |
| Different Palestinians Institutions | 152 (29.7) |
| Palestinian and Regional Institutions | 31 (6.1) |
| Palestinian and International institutions | 240 (47.0) |
| Number of authors per article | |
| 1 | 53 (10.4) |
| 2–6 | 371 (72.6) |
| > 7 | 87 (17.1) |
| Publication year | |
| 2000–2004 | 68 (13.3) |
| 2005–2010 | 164 (32.1) |
| 2011–2015 | 265 (54.6) |
| Sample size (No. of participants) | |
| < 50 | 187 (36.6) |
| 50–200 | 219 (42.9) |
| > 200 | 105 (20.5) |
| Type of the study question | |
| Prevalence/association | 368 (72.0) |
| Aetiology/risk factors | 27 (5.3) |
| Diagnosis | 11 (2.2) |
| Therapeutic/intervention | 61 (11.9) |
| Prognosis | 17 (3.3) |
| Others (case report) | 27 (5.3) |
| Study design | |
| Cross-sectional | 381 (74.6) |
| Systematic review | 4 (0.8) |
| Randomised controlled studies | 8 (1.6) |
| Non-randomised interventional studies | 8 (1.6) |
| Cohort | 38 (7.4) |
| Case–control | 45 (8.8) |
| Case reports/series | 27 (5.3) |
| Funding sources | |
| Not reported/unclear | 351 (68.7) |
| Local (governmental/industry/institutional) | 50 (9.8) |
| International | 110 (21.5) |
The distribution of research output and disease burden (DALY and death) per disease category
| Disease/Condition | Research output | Rank | Number of involved participants | Rank | DALY rate per 100,000 population | Rank | Death rate per 100,000 population | Rank | DALY per 100,000 population per studya,d | Death per 100,000 population per studya,e |
|---|---|---|---|---|---|---|---|---|---|---|
| Infectious | 103 (20) | 1 | 18,101 | 1 | 1170 (5) | 7 | 18 (6) | 6 | 11.4 | 0.2 |
| Nutritional | 55 (11) | 2 | 15,450 | 2 | 536 (3) | 11 | 0.1 (0) | 12 | 9.7 | 0 |
| Mental | 54 (11) | 3 | 13,009 | 3 | 2163 (10) | 5 | 1.2 (0) | 11 | 40.1 | 0 |
| Cardiovascular | 52 (10) | 4 | 9598 | 5 | 3221 (15) | 2 | 124 (39) | 1 | 61.9 | 2.4 |
| Maternal, neonatal and congenital | 50 (10) | 5 | 6763 | 6 | 5578 (26) | 1 | 48 (15) | 2 | 111.6 | 1 |
| Blood, urogenital and endocrine diseases | 48 (9) | 6 | 6629 | 7 | 1004 (5) | 8 | 19 (6) | 5 | 20.9 | 0.4 |
| Musculoskeletal and neurological | 37 (7) | 7 | 1744 | 10 | 2449 (11) | 3 | 12 (4) | 7 | 66.2 | 0.3 |
| Diabetes | 36 (7) | 8 | 11,157 | 4 | 559 (3) | 9 | 9 (3) | 9 | 15.5 | 0.2 |
| Injuries | 30 (6) | 9 | 5779 | 8 | 2314 (11) | 4 | 28 (9) | 4 | 77.1 | 0.9 |
| Gastrointestinal | 16 (3) | 10 | 1454 | 11 | 350 (2) | 12 | 8 (3) | 10 | 21.9 | 0.5 |
| Cancer | 15 (3) | 11 | 864 | 12 | 1420 (7) | 6 | 40 (13) | 3 | 94.7 | 2.7 |
| Chronic respiratory | 15 (3) | 12 | 2559 | 9 | 541 (3) | 10 | 9 (3) | 8 | 36.1 | 0.6 |
aData on DALYs and death in Palestine were obtained from the Global Burden of Disease (GBD) 2015 study [13]
b% total DALY = (DALY rate per 100,000 population for a specific disease or condition ÷ DALY rate per 100,000 population) × 100; larger value denotes higher contribution of this disease/condition to the total DALY in Palestine
c% total death = (death rate per 100,000 population for a specific disease or condition ÷ death rate per 100,000 population) × 100; larger value denotes higher contribution of this disease/condition to the total deaths in Palestine
dDALYs per 100,000 population per study = (DALY per 100,000 population for a specific disease or condition ÷ research output for the same disease or condition) × 100
eDeaths per 100,000 population per study = (death per 100,000 population for a specific disease or condition ÷ research output for the same disease or condition) × 100
Fig. 2Relationship between research output (i.e. number of Palestinian medical and health research articles research published between 2000 and 15) and burden of disease as the number of deaths up to 2015 (a) or number of disease-adjusted life years (DALYs) up to 2015 (b)
Fig. 3Difference between the actual observed number of published Palestinian health research articles for each disease/condition and expected number in proportion to disease burden