| Literature DB >> 25854965 |
Suzanne Parsons1, Bella Starling1, Christine Mullan-Jensen2, Su-Gwan Tham3, Kay Warner4, Kim Wever5.
Abstract
OBJECTIVES: To explore public knowledge of, and interest in, learning more about medicines R&D in six European countries.Entities:
Keywords: PUBLIC HEALTH; Research methods; SOCIAL MEDICINE
Mesh:
Year: 2015 PMID: 25854965 PMCID: PMC4390719 DOI: 10.1136/bmjopen-2014-006420
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Demographic characteristics of survey sample by country
| GB | France | Spain | Italy | Poland | Germany | All | Pearson's χ2 | |
|---|---|---|---|---|---|---|---|---|
| Per cent of male | 49% (950) | 49% (486) | 49% (494) | 49% (485) | 48% (480) | 49% (489) | 49% (3385) | 0.58; df=5; p=NS |
| Age group (years) | ||||||||
| 18–24 | 12% (232) | 15% (146) | 13% (126) | 12% (118) | 18% (178) | 13% (130) | 13% (930) | 58.1; df=20; p<0.001 |
| 25–34 | 16% (313) | 21% (212) | 26% (264) | 23% (232) | 24% (239) | 19% (190) | 21% (1450) | |
| 35–44 | 19% (365) | 23% (231) | 25% (247) | 25% (253) | 20% (198) | 27% (267) | 23% (1561) | |
| 45–54 | 17% (330) | 22% (222) | 20% (200) | 21% (208) | 24% (236) | 23% (230) | 21% (1426) | |
| 55–64 | 15% (288) | 19% (189) | 16% (163) | 19% (189) | 15% (149) | 18% (183) | 17% (1161) | |
| 65+ | 21% (404) | N/M | N/M | N/M | N/M | N/M | 6% (404) | NA |
| Experience of medical research (including 65 plus year olds) | 11% (211) | 8% (76) | 10% (95) | 9% (94) | 8% (75) | 4% (40) | 8.5% (591) | 45.0; df=5; p<0.001 |
| Experience of medical research (excluding 65 plus year olds) | 10% (156/1528) | 8% (76) | 10% (95) | 9% (94) | 8% (75) | 4% (40) | 8% (536/6528) | 36.9; df=5; p<0.001 |
GB, Great Britain; NA, not available; N/M, not measured; NS, not significant.
Current knowledge of medicines R&D by country
| GB* | France | Spain | Italy | Poland | Germany | All | Pearson's χ2 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Good knowledge | Rank | Good knowledge | Rank | Good knowledge | Rank | Good knowledge | Rank | Good knowledge | Rank | Good knowledge | Rank | Good knowledge | Rank | ||
| Medicines R&D | 15% (231) | 9 | 14% (141) | 9 | 12% (123) | 10 | 24% (242) | 3 | 14% (138) | 6 | 16% (161) | 7 | 16% (1036 | 9 | 67.8; df=5; p<0.001 |
| Drug discovery | 23% (359) | 3 | 23% (227) | 1 | 18% (179) | 4 | 28% (282) | 2 | 19% (189) | 2 | 20% (199) | 3 | 22% (1435) | 2 | 42.7; df=5; p<0.001 |
| Medicines safety | 28% (429) | 1 | 20% (199) | 3 | 21% (209) | 1 | 30% (296) | 1 | 24% (241) | 1 | 27% (270) | 1 | 25% (1644) | 1 | 45.1; df=5; p<0.001 |
| Patients’ roles and responsibilities | 20% (303) | 7 | 18% (177) | 8 | 19% (193) | 3 | 20% (201) | 8 | 15% (151) | 5 | 18% (179) | 5 | 18% (1204) | 7 | 12.4; df=5; p<0.05 |
| Personalised medicine | 22% (335) | 5 | 19% (187) | 5 | 17% (169) | 6 | 24% (242) | 3 | 13% (131) | 9 | 16% (155) | 7 | 19% (1219) | 5 | 59.6; df=5; p<0.001 |
| Predictive medicine | 23% (356) | 3 | 19% (188) | 5 | 20% (196) | 2 | 21% (211) | 7 | 14% (141) | 6 | 19% (191) | 4 | 20% (1283) | 4 | 34.4; df=5; p<0.001 |
| Design and objectives of clinical trials | 28% (429) | 1 | 22% (224) | 2 | 16% (156) | 7 | 24% (241) | 3 | 17% (172) | 3 | 21% (214) | 2 | 22% (1436) | 2 | 72.7; df=5; p<0.001 |
| Health technology assessment | 20% (303) | 7 | 20% (196) | 3 | 18% (175) | 4 | 24% (240) | 3 | 17% (169) | 3 | 15% (148) | 9 | 19% (1231) | 5 | 33.1; df=5; p<0.001 |
| Pharmacoeconomics | 17% (264) | 10 | 13% (134) | 10 | 15% (145) | 8 | 19% (186) | 9 | 11% (108) | 10 | 13% (125) | 10 | 15% (962) | 10 | 36.8; df=5′ p<0.001 |
| Regulation | 22% (343) | 5 | 19% (191) | 5 | 14% (141) | 9 | 18% (183) | 10 | 14% (139) | 6 | 18% (183) | 5 | 18% (1180) | 7 | 42.9; df=5; p<0.001 |
*Participants aged 65 years and older removed from Great Britain (GB) sample to ensure that all countries were comparable by age.
Relationship between demographic factors and experience of research involvement on reported knowledge of medicines R&D
| No or less than good knowledge | Good or very good knowledge | Mantel-Haenszel χ2 | OR (95% CI) | |
|---|---|---|---|---|
| Overall (N=6931) | 84% (5800) | 16% (1131) | NA | NA |
| Gender | ||||
| Female (N=3546) | 85% (3005) | 15% (541) | 5.68; df=1; p<0.05 | 1.0 |
| Male (N=3385) | 83% (2796) | 17% (589) | 1.17 (1.03 to 1.33) | |
| Age (years) | ||||
| 18–24 (N=930) | 81% (751) | 19% (179) | 1.0 | |
| 25–34 (N=1450) | 81% (1175) | 19% (275) | 0.03; df=1; p=NS | 0.98 (0.80 to 1.21) |
| 35–44 (N=1561) | 85% (1322) | 15% (240) | 6.3; df=1; p<0.05 | 0.76 (0.61 to 0.95) |
| 45–54 (N=1426) | 85% (1214) | 15% (213) | 7.6; df=1; p<0.01 | 0.74 (0.59 to 0.92) |
| 55–64 (N=1161) | 85% (982) | 16% (180) | 5.1; df=1; p<0.05 | 0.77 (0.61 to 0.97) |
| 65 and over (N=404) | 89% (358) | 11% (46) | 12.4; df=1; p<0.0001 | 0.54 (0.38 to 0.77) |
| Previous research participation | ||||
| No=6358 | 86% (5480) | 14% (877) | 1.0 | |
| Yes=573 | 56% (319) | 44% (253) | 355; df=1; p<0.001 | 4.97 (4.14 to 5.99) |
NA, not available; NS, not significant.
Interest in learning more about medicines R&D and its specific aspects by country
| GB* | France | Spain | Italy | Poland | Germany | All | Pearsons’ χ2 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Interested | Rank | Interested | Rank | Interested | Rank | Interested | Rank | Interested | Rank | Interested | Rank | Interested | Rank | NA | |
| Drug discovery | 40% (606) | 4 | 42% (422) | 1 | 51% (505) | 1 | 53% (531) | 3 | 48% (481) | 3 | 47% (466) | 2 | 46% (3011) | 4 | 60.8; df=5; p<0.01 |
| Medicines safety | 41% (628) | 3 | 42% (418) | 1 | 51% (505) | 1 | 58% (582) | 1 | 56% (560) | 1 | 53% (526) | 1 | 49% (3219) | 1 | 117.4; df=5; p<0.001 |
| Patients’ roles and responsibilities | 35% (541) | 7 | 32% (320) | 8 | 42% (419) | 5 | 45% (446) | 7 | 38% (381) | 7 | 43% (425) | 4 | 39% (2532) | 6 | 51.1; df=5; p<0.001 |
| Personalised medicine | 44% (668) | 2 | 40% (400) | 4 | 50% (501) | 4 | 55% (551) | 2 | 49% (485) | 2 | 42% (423) | 5 | 47% (3028) | 2 | 65.3; df=5; p<0.001 |
| Predictive medicine | 46% (701) | 1 | 38% (381) | 5 | 51% (505) | 1 | 51% (509) | 4 | 48% (478) | 3 | 44% (443) | 3 | 47% (3017) | 2 | 44.9; df=5; p<0.0001 |
| Design and objectives of clinical trials | 36% (547) | 6 | 37% (372) | 6 | 38% (384) | 7 | 46% (464) | 6 | 40% (401) | 6 | 39% (393) | 7 | 39% (2561) | 6 | 31.5; df=5; p<0.001 |
| Health technology assessment | 39% (598) | 5 | 42% (417) | 1 | 42% (418) | 5 | 48% (476) | 5 | 45% (454) | 5 | 42% (419) | 5 | 43% (2782) | 5 | 21.1; df=5; p<0.001 |
| Pharmacoeconomics | 29% (446) | 9 | 29% (292) | 9 | 35% (345) | 9 | 40% (401) | 9 | 34% (345) | 9 | 32% (316) | 9 | 33% (2145) | 9 | 42.3; df=5; p<0.001 |
| Regulation | 31% (478) | 8 | 33% (330) | 7 | 36% (360) | 8 | 44% (437) | 8 | 37% (373) | 8 | 37% (372) | 8 | 36% (2350) | 8 | 46.0; df=5; p<0.001 |
*Participants aged 65 years and older removed from Great Britain (GB) sample to ensure that all countries were comparable by age.
NA, not available.
Figure 1Relationship between interest in learning more about medicines R&D and gender, N=6931 (HTA, health technology assessment).
Figure 2Relationship between interest in learning more about medicines R&D and previous experience of medical research, N=6931 (HTA, health technology assessment).