| Literature DB >> 21867497 |
Ingmarie Skoglund1, Cecilia Björkelund, Kirsten Mehlig, Ronny Gunnarsson, Margareta Möller.
Abstract
BACKGROUND: General Practitioners {GP} in Sweden prescribe more than 50% of all prescriptions. Scientific knowledge on the opinions of GPs regarding drug information has been sparse. Such knowledge could be valuable when designing evidence-based drug information to GPs. GPs' opinions on public- and industry-provided drug information are presented in this article.Entities:
Mesh:
Year: 2011 PMID: 21867497 PMCID: PMC3224368 DOI: 10.1186/1472-6963-11-204
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Topics in questionnaire on attitudes to drug information and responses (mean and median) from 368 GPs
| Item* | N (%)** | Mean (SD)*** | Median (IQR)**** | |||
|---|---|---|---|---|---|---|
| 1 | Where do you mostly get information about drugs? | 313 (85.1) | 3.7 (2.7) | 4.0 (3.0) | ||
| 2a | What is your opinion on the amount of drug information you get from public authorities? | 313 (85.1) | 3.1 (1.2) | 3.0 (2.0) | ||
| 2b | What is your opinion on the amount of information from the pharmaceutical industry? | 314 (85.3) | 5.6 (1.3) | 6.0 (2.0) | ||
| 3a | What is your opinion on the quality of drug information from public authorities? | 313 (85.1) | 5.2 (1.4) | 6.0 (1.0) | ||
| 3b | What is your opinion on the quality of drug information from the pharmaceutical industry? | 313 (85.1) | 3.7 (1.4) | 4.0 (2.0) | ||
| 4a | Do you usually find drug information from public authorities useful? | 314 (85.3) | 5.4 (1.3) | 6.0 (1.0) | ||
| 4b | Do you usually find drug information from the pharmaceutical industry useful? | 312 (84.8) | 3.8 (1.4) | 4.0 (2.0) | ||
| 5a | If you usually find drug information from public authorities useful - how soon does it prove to be useful? | 306 (83.2) | 4.5 (1.4) | 5.0 (2.0) | ||
| 5b | If you usually find drug information from the pharmaceutical industry useful -how soon does it prove to be useful? | 303 (82.3) | 4.3 (1.3) | 4.0 (2.0) | ||
| 6a | If you usually find drug information from public authorities useful - please give some examples. | ----- | ----- | ----- | ||
| 6b | If you usually find drug information from the pharmaceutical industry useful- please give some examples. | ----- | ----- | ----- | ||
| To what extent do you agree with the following four statements? | ----- | ----- | ----- | |||
| (do not agree at all --- agree totally) | ||||||
| 7a | The main task of the drug information from public authorities is to increase my knowledge of drugs. | 314 (85, 3) | 5.7 (1.4) | 6.0 (2.0) | ||
| 7b | The main task of the drug information from the pharmaceutical industry is to increase my knowledge of drugs. | 313 (85, 1) | 3.5 (1.7) | 3.0 (3.0) | ||
| 7c | The main task of the drug information from public authorities is to influence the cost of medication for providers. | 313 (85, 1) | 5.0 (1.5) | 5.0 (2.0) | ||
| 7d | The main task of the drug information from the pharmaceutical industry is to influence the company's sales. | 313 (85, 1) | 6.2 (1.1) | 7.0 (1.0) | ||
*All questions except 6a and 6b were Likert scales anchored from 1 to 7 with 1 representing the alternative seen left in brackets below the item and 7 as the alternative seen right in brackets below the item. Society = Societal information about drugs from e.g. drug and therapeutic committees, The Medical Products Agency, The National Board of Health and Welfare, The Swedish Council on Technology Assessment in Health Care, The Swedish Drug Compendium, postal advertisement, information during lunch, educational events.
**The questions were at most answered by 368 GPs, frequency varying for different questions.
***Mean with standard deviation within parenthesis
****Median with inter quartile range within parenthesis
Questionnaire responses related to sex, age, work experience, sector and geographical area
| Fixed effects | Random effects | ||||||
|---|---|---|---|---|---|---|---|
| 1 | 292 | 1, 01 (0.98-1.04) | ----- | 1.38 (0.57-3.38) | 0.039 | 0 | |
| 291 | ----- | 1.02 (0.99-1.06) | 1.27 (0.51-3.20) | 0.052 | 0 | ||
| 2a | 292 | 1.64 (0.97-2.79) | 1.00 (0.96-1.03) | ---- | 1.06(0.39-2.89) | 0.075 | 0.022 |
| 291 | 1.66 (0.97-2.83) | ----- | 1.00 (0.97-1.03) | 1.07 (0.40-2.87) | 0.065 | 0.026 | |
| 2b | 292 | 1.35 (0.80-2.26) | ---- | 1.45 (0.54-3.89) | 0.082 | 0.01 | |
| 291 | 1.37 (0.81-2.29) | ----- | 1.50 (0.56-4.00) | 0.087 | 0.001 | ||
| 3a | 291 | 1.46 (0.88-2.43) | 0.99 (0.97-1.00) | ---- | 1.67 (0.63-4.43) | 0.054 | 0.031 |
| 290 | 1.49 (0.90-2.48) | ----- | 0.99 (0.96-1.02) | 1.55 (0.58-4.18) | 0.060 | 0.033 | |
| 3b | 291 | 1.29 (0.78-2.13) | 1.03 (1.00-1.07) | ---- | 0.37 (0.13-1.05) | 0.092 | 0 |
| 290 | 1.31 (0.79-2.17) | ----- | 1.02 (0.99-1.05) | 0.36 (0.12-1.04) | 0.094 | 0 | |
| 4a | 292 | 0.99 (0.97-1.02) | ---- | 1.19 (0.50-2.82) | 0.022 | 0 | |
| 291 | ----- | 1.00 (0.97-1.03) | 1.15 (0.48-2.77) | 0.029 | 0 | ||
| 4b | 291 | ---- | 0.036 | ||||
| 290 | ----- | 0.034 | |||||
| 5a | 286 | 0.82 (0.51-1.33) | 1.02 (0.99-1.05) | ---- | 0.95 (0.42-2.16) | 0 | 0 |
| 285 | 0.55 (0.26-1.14) | ----- | 1.00 (0.95-1.04) | 1.00 (0.40-2.49) | 0 | 0 | |
| 5b | 283 | 1.04 (0.61-1.80) | 1.01 (0.98-1.05) | ---- | 0.78 (0.30-2.04) | 0 | 0 |
| 282 | 1.00 (0.58-1.74) | ----- | 1.00 (0.97-1.03) | 0.79 (0.30-2.08) | 0 | 0 | |
| 7a | 292 | ---- | 1.27 (0.49-3.24) | 0.057 | 0 | ||
| 291 | ----- | 1.15 (0.46-2.91) | 0.047 | 0 | |||
| 7b | 291 | 1.17 (0.70-1.94) | 1.01 (0.98-1.05) | ---- | 0.59 (0.22-1.61) | 0.062 | 0 |
| 290 | 1.20 (0.72-2.01) | ----- | 1.01 (0.98-1.04) | 0.58 (0.21-1.59) | 0.065 | 0 | |
| 7c | 291 | 1.17 (0.68-2.03) | 0.97 (0.93-1.01) | ---- | 0.97 (0.33-2.89) | 0.101 | 0.016 |
| 290 | 1.12 (0.64-1.97) | ----- | 1.02 (0.33-3.11) | 0.112 | 0.020 | ||
| 7d | 291 | 1.10 (0.68-1.78) | ----- | 0 | 0 | ||
| 290 | 1.04 (0.64-1.69) | ----- | 0 | 0 | |||
*p < 0.05,**p < 0.01
a Question according to Table 1
b Number of responders with response for all items included in the regression model
c Odds ratio (95% confidence interval) --- two sided p-value.
First line when age is included as independent variable and second line when working time is included as independent variable.
d Variation among primary health care centres is transformed to intra-class correlation. ICC --- One sided p-value for variation
e Variation among regions is transformed to intra-class correlation. ICC --- One side p-value for variation
f Odds ratio for an increase of one year in age or working time
Perceived aspects of drug information according to open-ended questionnaire responses (Item 6a and b)
| Perceived aspects of drug information | Public authorities (item 6aa) | Pharmaceutical industry (Item 6ba) |
|---|---|---|
| n = 205b | n = 186b | |
| Provide drug information and educationc | 5.9% (12) | 24% (44) |
| Provide useful information on how patient can use the drugc | 3.4% (7) | 17% (31) |
| Provide information of side effectsc | 6.8% (14) | 3.8% (7) |
| Provide economic aspects of drug therapyc | 16% (33) | 1.1% (2) |
| Provide information on new drugsc | 3.9% (8) | 38% (71) |
| Provide scientific judgement on drugsc | 53% (109) | 33% (61) |
| Provide information from public authoritiesc | 60% (122) | 1.6% (3d) |
| Provided information is objectivec | 12% (25) | 0.54% (1) |
a Question according to Table 1
b Number of responders to the item
c Responders wrote freely. The response was then classified into categories and counted. One responder can contribute to more than one alternative
d GPs sometimes perceive that pharmaceutical industry present information from public authorities essential for their product.