| Literature DB >> 25162708 |
Abstract
Today, healthcare professionals are faced with the challenge of implementing research results in an optimal way. It is therefore important to create a climate that is conducive to research and development (R&D). For this reason, new strategies are required to enhance healthcare professionals' interest in innovative thinking and R&D. Strategic communication with roots in sociology, psychology and political science was employed as a means of achieving long-term behavioural change. The aim of this study was to describe, follow up and evaluate a primary care intervention based on strategic communication intended to increase healthcare professionals' interest in R&D over time. An interventional cohort study comprising all staff members (N = 1276) in a Swedish primary care area was initiated in 1997 and continued for 12 years. The intention to engage in R&D was measured on two occasions; at 7 and 12 years. Both descriptive statistics and bivariate analyses were employed. The results demonstrated that the positive attitude to R&D increased over time, representing a first step towards new thinking and willingness to change work practices for the benefit of the patient. Strategic communication has not been previously employed as a scientific tool to create a long-term interest in R&D within primary care.Entities:
Mesh:
Year: 2014 PMID: 25162708 PMCID: PMC4198986 DOI: 10.3390/ijerph110908689
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Intervention flow chart of measurement outcomes in relation to the goal of the communication strategy in the study cohort.
Descriptive statistics pertaining to the distribution of background variables.
| Study Variables | First Measurement | Second Measurement | ||||||
|---|---|---|---|---|---|---|---|---|
| Year 2004 | Year 2009 | |||||||
| n | % | Mean (SD) | Median (IQR) | n | % | Mean (SD) | Median (IQR) | |
| Sex | 846 | 762 | ||||||
| Men | 95 | 11.2 | 73 | 9.6 | ||||
| Women | 751 | 88.8 | 688 | 90.4 | ||||
| Age | 846 | 49.5 | 50.0 | 757 | 49.6 | 51.0 | ||
| (8.8) | (44–56) | (10.1) | (51–58) | |||||
| SES | 820 | 730 | 100.0 | |||||
| I | 71 | 8.7 | 50 | 6.8 | ||||
| Assistant nurse | 71 | 8.7 | 50 | 6.8 | ||||
| II | 205 | 25.0 | 185 | 25.3 | ||||
| Dental nurse (assistant) | 104 | 12.7 | 103 | 14.1 | ||||
| Medical secretary | 51 | 6.2 | 52 | 7.1 | ||||
| Administrative staff | 50 | 6.1 | 30 | 4.1 | ||||
| III | 376 | 45.8 | 340 | 44.6 | ||||
| Nurse | 51 | 6.2 | 47 | 6.4 | ||||
| District nurse | 159 | 19.4 | 129 | 17.6 | ||||
| Midwife | 36 | 4.4 | 40 | 5.4 | ||||
| Dental hygienist | 38 | 4.6 | 32 | 4.6 | ||||
| Physiotherapist | 56 | 6.8 | 55 | 7.5 | ||||
| Occupational Therapist | 36 | 4.4 | 35 | 4.7 | ||||
| IV | 168 | 20.5 | 155 | 20.3 | ||||
| Physician | 77 | 9.4 | 65 | 8.9 | ||||
| Dentist | 63 | 7.7 | 58 | 7.9 | ||||
| Psychologist | 28 | 3.4 | 32 | 4.4 | ||||
Note: n = number of participants in the analysis.
Gained interest in R&D as a result of direct and indirect communication.
| The Different Communication Ways | Gained R&D Interest 2004 | Gained R&D Interest 2009 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | % | chi-2 | n | % | chi-2 | ||||
| Read a popular science report | 198 | 54.5 | 1.64 | 0.201 | 184 | 51.5 | 0.09 | 0.768 | |
| Read a copy of the research bulletin | 270 | 87.0 | 148.15 | <0.001 | 252 | 80.2 | 91.68 | <0.001 | |
| Attended a scientific seminar | 190 | 42.1 | 4.74 | 0.030 | 182 | 44.5 | 2.20 | 0.138 | |
| Attended an annual research conference | 211 | 46.4 | 1.07 | 0.302 | 205 | 51.2 | 0.12 | 0.727 | |
| Participated in an R&D course | 195 | 34.9 | 17.85 | <0.001 | 200 | 42.0 | 5.12 | 0.024 | |
| Visited intranet | 211 | 51.2 | 0.12 | 0.731 | 206 | 57.8 | 4.97 | 0.026 | |
| Visited Internet | 153 | 8.5 | 105.42 | <0.001 | 156 | 13.5 | 83.31 | <0.001 | |
| Described an R&D project | 246 | 76.8 | 70.83 | <0.001 | 228 | 78.1 | 71.86 | <0.001 | |
| Read a popular science report | 163 | 38.7 | 8.40 | 0.004 | 164 | 43.9 | 2.44 | 0.118 | |
| Read a copy of the research bulletin | 172 | 48.8 | 0.09 | 0.760 | 182 | 50.5 | 0.02 | 0.882 | |
| Attended a scientific seminar | 154 | 29.9 | 24.96 | <0.001 | 147 | 34.0 | 15.03 | <0.001 | |
| Attended an annual research conference | 166 | 39.8 | 6.96 | 0.008 | 159 | 39.0 | 7.70 | 0.006 | |
| Participated in an R&D course | 174 | 50.6 | 0.02 | 0.879 | 161 | 43.5 | 2.74 | 0.098 | |
| Been informed about R&D at management level | 162 | 43.2 | 2.99 | 0.084 | 152 | 34.2 | 15.16 | <0.001 | |
| Visited intranet | 163 | 30.1 | 25.92 | <0.001 | 154 | 32.5 | 18.94 | <0.001 | |
| Visited Internet | 141 | 2.8 | 125.45 | <0.001 | 142 | 11.3 | 85.21 | <0.001 | |
Notes: The measurements took place on two occasions; 2004 and 2009. The chi-square test was employed.
Figure 2Impact of the direct (D) and indirect communication (ID) communication channels on the creation of interest in R&D among primary care staff measured on two occasions.
The influence of the variable age on R&D interest in four separate SES groups.
| Dependent Variable: R&D Interest | Independent Variable: Age | |||||
|---|---|---|---|---|---|---|
| 1= Interest | ||||||
| 0= No Interest | ||||||
| 121 | −0.09 | 0.257 | 0.917 | 0.789–1.065 | ||
| 382 | −0.01 | 0.792 | 0.993 | 0.942–1.047 | ||
| 716 | −0.02 | 0.047 | 0.979 | 0.958–0.988 | ||
| 323 | −0.05 | <0.0001 | 0.950 | 0.924–0.976 | ||
Notes: R&D interest: Difference between the 2004 and 2009 measurements. Logistic regression was used. An Odds Ratio (OR) and 95% Confidence Interval (CI) were included in the calculation.
Figure 3The probability of change in R&D interest as a function of age.