| Literature DB >> 30364285 |
Rosanne Janssens1, Eline van Overbeeke1, Lotte Verswijvel1, Lissa Meeusen1, Carolien Coenegrachts1, Kim Pauwels1, Marc Dooms2, Hilde Stevens3, Steven Simoens1, Isabelle Huys1.
Abstract
Background: Patient involvement is often acknowledged as an important aspect of the lifecycle of medicines. Although different typologies exist, patient involvement has been described as the involvement of patients in decision-making regarding medicines. In view of the diversity of stakeholders and types of decisions in which patients might be involved, an in-depth understanding of these stakeholders' views toward involving patients in the lifecycle of medicines is essential.Entities:
Keywords: decision-making; evaluation of medicines; lifecycle of medicines; market access; medicines development; patient involvement; patient preferences; reimbursement
Year: 2018 PMID: 30364285 PMCID: PMC6193089 DOI: 10.3389/fmed.2018.00285
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Stages of framework analysis.
| Familiarization | The interviews were transcribed verbatim by three researchers (CC, LM, LV) and the transcripts were thoroughly read by the researchers involved in the analysis (RJ, CC, LM, LV). |
| Identifying a thematic framework | Three researchers (CC, LM, LV) independently coded the same two transcripts before meeting to develop an initial list of codes, i.e., the initial coding framework. The initial framework was further discussed, refined and agreed upon together the remainder of the researchers involved in the analysis (EvO, RJ). |
| Indexing | The transcripts ( |
| Charting | NVivo enabled the creation of a framework matrix, which was subsequently exported to an Excel file. In the matrix, the interviewee codes were listed in the y-axis and the codes from the final framework on the x-axis. The coded text was summarized for each code and interviewee in the corresponding cell by one researcher (RJ). |
| Mapping and interpretation | Using the Excel framework matrix created in stage 4, one researcher (RJ) searched for themes, associations, concepts and explanations in the data. This process was guided by the research aims and a careful analysis of what was in the data. Interpretations were made by reviewing the matrix and making associations within codes and interviewees, as well as between codes and interviewees. Whenever the data was rich enough, the interpretations generated in this stage went beyond the description of a particular interviewee to the explanation of potential reasons or beliefs of multiple interviewees. |
Demographics of interviewees.
| Male | 13 | 57 | |
| Female | 10 | 43 | |
| Dutch | 23 | 100 | |
| Academic, active as physician | A | 4 | 17 |
| Health insurance fund | B | 3 | 13 |
| Belgian reimbursement agency | C | 1 | 4 |
| Pharmaceutical industry | D | 8 | 35 |
| Patient organization | E | 5 | 22 |
| Hospital pharmacist | F | 2 | 9 |
One interviewee preferred to take part together with one extra interviewee, resulting in a total amount of 23 interviewees and 22 interviews.
Belgian reimbursement agency (National Institute for Health and Disability Insurance National Institute for Health and Disability Insurance, NIHDI).
Figure 1Opportunities (in green) and barriers (in red) related to patient involvement in the lifecycle of medicines.
Demographics of survey participants.
| Male | 49 | 45 |
| Female | 59 | 55 |
| 18–25 years | 24 | 22 |
| 26–35 years | 7 | 6 |
| 36–45 years | 14 | 13 |
| 46–55 years | 24 | 22 |
| 56–65 years | 20 | 19 |
| 66–75 years | 15 | 14 |
| 76–85 years | 4 | 4 |
| Belgian | 105 | 97 |
| The Netherlands | 3 | 3 |
| Respiratory tract disease | 4 | 4 |
| Cardiovascular diseases | 13 | 12 |
| Injuries | 7 | 6 |
| Cancer | 7 | 6 |
| Hormonal diseases | 2 | 2 |
| Anxiety disorders | 1 | 1 |
| Musculoskeletal diseases | 1 | 1 |
| Female disease of the urinary and reproductive systems and pregnancy complications | 1 | 1 |
| Digestive system diseases | 5 | 5 |
| No disease mentioned | 70 | 65 |
Some survey participants indicated multiple diseases, resulting in a total percentage of more than 100%.
Figure 2The importance to survey participants of incorporating patient preferences in the different stages of the lifecycle of medicines. Participants were asked to score the importance of incorporating patient preferences per stage in the lifecycle of medicines on a scale of “Very important” to “Totally not important”.
Barriers related to patient involvement in the lifecycle of medicines (red), suggested actions by the authors to overcome them and examples of efforts related to these actions (green).
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IQWiG is the independent scientific institute that examines the benefits and harms of medical interventions for patients and provides recommendations for reimbursement decisions in Germany: .
Patient relevant outcomes can be defined as any outcome that it is relevant to or valued by a patient (.
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Suggested actions and related examples are categorized depending on whether they relate to: i) direct patient involvement, via the participation of patients (or patient organizations) in discussions, or ii) indirect patient involvement, via the measurement and inclusion of patient perspectives on the value of health innovations via patient preference studies.