| Literature DB >> 29889861 |
Alexandru M Rotar1, Michael J Van Den Berg1, Willemijn Schäfer2, Dionne S Kringos1, Niek S Klazinga1.
Abstract
Primary care faces challenging times in many countries, mainly caused by an ageing population. The GPs' role to match patients' demand with medical need becomes increasingly complex with the growing multiple conditions population. Shared decision-making (SDM) is recognized as ideal to the treatment decision making process. Understanding GPs' perception on SDM about patient referrals and whether patients' preferences are considered, becomes increasingly important for improving health outcomes and patient satisfaction. This study aims to 1) understand whether countries vary in how GPs perceive SDM, in patients' referral, 2) describe to what extent SDM in GPs' referrals differ between gatekeeping and non-gatekeeping systems, and 3) identify what factors GPs consider when referring to specialists and describing how this differs between gatekeeping and non-gatekeeping systems. Data were collected between October 2011 and December 2013 in 32 countries through the QUALICOPC study (Quality and Costs of Primary Care in Europe). The first question was answered by assessing GPs' perception on who takes the referral decision. For the second question, a multilevel logistic model was applied. For the third question we analysed the GPs' responses on what patient logistics and need arguments they consider in the referral process. We found: 1) variation in GPs reported SDM- 90% to 35%, 2) a negative correlation between gatekeeper systems and SDM-however, some countries strongly deviate and 3) GPs in gatekeeper systems more often consider patient interests, whereas in non-gatekeeping countries the GP's value more own experience with specialists and benchmarking information. Our findings imply that GPs in gatekeeper systems seem to be less inclined to SDM than GPs in a non-gatekeeping system. The relation between gatekeeping/non-gatekeeping and SDM is not straightforward. A more contextualized approach is needed to understand the relation between gatekeeping as a system design feature and its relation with and/or impact on SDM.Entities:
Mesh:
Year: 2018 PMID: 29889861 PMCID: PMC5995363 DOI: 10.1371/journal.pone.0198729
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Answer to the question: In case of referral, who usually decides about where the patient is referred?
Results logistic regression multilevel analyses association between the shared decision making (SDM) levels and gate keeping system.
| Ni = 32; Nj = 6572 | Odds ratio | SE | Odds ratio | SE |
|---|---|---|---|---|
| Intercept | 2.387 | 0.035 | 1.520 | 0.158 |
| Gatekeeping (baseline NO) | 0.865 | 0.053 | 0.859 | 0.055 |
| Age | 1.002 | 0.002 | ||
| Gender—male/female (baseline—MALE) | 1.208 | 0.055 | ||
| Practice location | ||||
| Suburbs (baseline—Big city) | 1.342 | 0.089 | ||
| Small town (baseline—Big city) | 1.335 | 0.072 | ||
| Mixed urban-rural (baseline—Big city) | 1.589 | 0.083 | ||
| Rural (baseline—Big city) | 1.839 | 0.085 |
Answer to the question: In case of referral, to what extent do you take into account the following considerations?
| Country | Total no. of GPs | Always takes into account | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| patient’s preference where to go | travel distance for the patient | own previous experience with the specialist | comparative performance information on specialists | waiting time for the patient | costs for the patient | gatekeeping system (GK) QUALICOPC | ||||||||
| Austria | 177 | 85 | 48.0% | 97 | 54.8% | 137 | 77.4% | 37 | 20.9% | 20 | 11.3% | 68 | 38.4% | NO |
| Belgium | 384 | 283 | 73.7% | 103 | 26.8% | 301 | 78.4% | 100 | 26.0% | 60 | 15.6% | 64 | 16.7% | NO |
| Cyprus | 70 | 26 | 37.1% | 17 | 24.3% | 21 | 30.0% | 15 | 21.4% | 14 | 20.0% | 22 | 31.4% | NO |
| Czech Republic | 207 | 67 | 32.4% | 38 | 18.4% | 169 | 81.6% | 145 | 70.0% | 29 | 14.0% | 18 | 8.7% | NO |
| Denmark | 206 | 89 | 43.2% | 49 | 23.8% | 135 | 65.5% | 92 | 44.7% | 51 | 24.8% | 52 | 25.2% | NO |
| Germany | 234 | 103 | 44.0% | 131 | 56.0% | 172 | 73.5% | 33 | 14.1% | 31 | 13.2% | 31 | 13.2% | NO |
| Iceland | 74 | 32 | 43.2% | 18 | 24.3% | 44 | 59.5% | 3 | 4.1% | 6 | 8.1% | 12 | 16.2% | NO |
| Luxembourg | 73 | 54 | 74.0% | 16 | 21.9% | 59 | 80.8% | 27 | 37.0% | 10 | 13.7% | 5 | 6.8% | NO |
| Malta | 65 | 41 | 63.1% | 11 | 16.9% | 32 | 49.2% | 20 | 30.8% | 28 | 43.1% | 34 | 52.3% | NO |
| Poland | 192 | 104 | 54.2% | 87 | 45.3% | 92 | 47.9% | 60 | 31.3% | 102 | 53.1% | 91 | 47.4% | NO |
| Slovakia | 185 | 28 | 15.1% | 36 | 19.5% | 86 | 46.5% | 41 | 22.2% | 35 | 18.9% | 32 | 17.3% | NO |
| Switzerland | 189 | 103 | 54.5% | 81 | 42.9% | 167 | 88.4% | 34 | 18.0% | 30 | 15.9% | 27 | 14.3% | NO |
| Turkey | 297 | 64 | 21.5% | 99 | 33.3% | 107 | 36.0% | 40 | 13.5% | 73 | 24.6% | 132 | 44.4% | NO |
| FYR Macedonia | 122 | 30 | 24.6% | 33 | 27.0% | 66 | 54.1% | 24 | 19.7% | 45 | 36.9% | 58 | 47.5% | NO |
| Bulgaria | 199 | 104 | 52.3% | 61 | 30.7% | 136 | 68.3% | 112 | 56.3% | 48 | 24.1% | 81 | 40.7% | YES |
| Estonia | 129 | 71 | 55.0% | 36 | 27.9% | 75 | 58.1% | 11 | 8.5% | 38 | 29.5% | 35 | 27.1% | YES |
| Hungary | 205 | 81 | 39.5% | 89 | 43.4% | 118 | 57.6% | 48 | 23.4% | 81 | 39.5% | 98 | 47.8% | YES |
| Ireland | 162 | 106 | 65.4% | 71 | 43.8% | 108 | 66.7% | 31 | 19.1% | 70 | 43.2% | 81 | 50.0% | YES |
| Italy | 201 | 72 | 35.8% | 39 | 19.4% | 129 | 64.2% | 63 | 31.3% | 61 | 30.3% | 77 | 38.3% | YES |
| Latvia | 206 | 114 | 55.3% | 76 | 36.9% | 139 | 67.5% | 70 | 34.0% | 98 | 47.6% | 83 | 40.3% | YES |
| Lithuania | 216 | 79 | 36.6% | 19 | 8.8% | 68 | 31.5% | 36 | 16.7% | 40 | 18.5% | 19 | 8.8% | YES |
| Netherlands | 226 | 195 | 86.3% | 103 | 45.6% | 114 | 50.4% | 18 | 8.0% | 43 | 19.0% | 26 | 11.5% | YES |
| Norway | 195 | 67 | 34.4% | 48 | 24.6% | 84 | 43.1% | 13 | 6.7% | 58 | 29.7% | 56 | 28.7% | YES |
| Portugal | 205 | 80 | 39.0% | 77 | 37.6% | 72 | 35.1% | 55 | 26.8% | 81 | 39.5% | 103 | 50.2% | YES |
| Romania | 214 | 84 | 39.3% | 60 | 28.0% | 115 | 53.7% | 113 | 52.8% | 66 | 30.8% | 107 | 50.0% | YES |
| Slovenia | 203 | 41 | 20.2% | 36 | 17.7% | 80 | 39.4% | 37 | 18.2% | 65 | 32.0% | 32 | 15.8% | YES |
| Spain | 409 | 84 | 20.5% | 96 | 23.5% | 246 | 60.1% | 153 | 37.4% | 96 | 23.5% | 74 | 18.1% | YES |
| Sweden | 95 | 39 | 41.1% | 23 | 24.2% | 49 | 51.6% | 14 | 14.7% | 33 | 34.7% | 22 | 23.2% | YES |
| United Kingdom | 167 | 126 | 75.4% | 88 | 52.7% | 62 | 37.1% | 22 | 13.2% | 60 | 35.9% | 32 | 19.2% | YES |
| Australia | 149 | 121 | 81.2% | 97 | 65.1% | 123 | 82.6% | 41 | 27.5% | 57 | 38.3% | 82 | 55.0% | YES |
| Canada | 754 | 501 | 66.4% | 425 | 56.4% | 484 | 64.2% | 112 | 14.9% | 350 | 46.4% | 302 | 40.1% | YES |
| New Zealand | 162 | 116 | 71.6% | 65 | 40.1% | 92 | 56.8% | 22 | 13.6% | 62 | 38.3% | 108 | 66.7% | YES |
| total | 6572 | 3190 | 48.5% | 2325 | 35.4% | 3882 | 59.1% | 1642 | 25.0% | 1941 | 29.5% | 2064 | 31.4% | |
| total GK | 4097 | 2081 | 50.8% | 1509 | 36.8% | 2294 | 56.0% | 971 | 23.7% | 1407 | 34.3% | 1418 | 34.6% | |
| total non GK | 2475 | 1109 | 44.8% | 816 | 33.0% | 1588 | 64.2% | 671 | 27.1% | 534 | 21.6% | 646 | 26.1% | |
| Diff | 6.0% | 3.9% | -8.2% | -3.4% | 12.8% | 8.5% | ||||||||
| p | <0.005 | <0.005 | <0.005 | <0.005 | <0.005 | <0.005 | ||||||||
White denotes 0–25%, red denotes >25–50%, yellow denotes >50–75%, green denotes >75–100%.