Categorisation of medicines and prescribing and dispensing tools - BASt

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Categorisation of medicines and prescribing and dispensing tools - BASt
Categorisation of medicines
                     and
       prescribing and dispensing tools

Katerina Touliou (CERTH-HIT)
Susana Monteiro, Silvia Ravera, Han de Gier (RUGPha, the Netherlands)
Sofie Boets, Uta Meesmann, Mark Tant (IBSR-BIVV, Belgium)
Sara-Ann Legrand, Trudy Van der Linden, Alain Verstraete (Ugent, Ghent University, Belgium)
Inmaculada Fierro, Trinidad Gómez-Talegón, Lourdes Martín Lara, Javier Alvarez (UVa, University of Valladolid, Spain)

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Categorisation of medicines and prescribing and dispensing tools - BASt
Rationale

• Professional guidelines provide the foundation for better and cost-
  effective practice
• The rising of comparability in medical practice ensures the
  development of collaboration between research findings and
  evidence-based medicine
• The realisation of the need for alterations in existing guidelines
  on the way physicians and pharmacists prescribe and dispense
  medicines was a general goal of WP7
• Experts have formulated new guidelines and protocols within the
  framework of the European DRUID project

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Categorisation of medicines and prescribing and dispensing tools - BASt
The study objectives

•   Prescribing and dispensing guidelines developed within the DRUID project
    were evaluated in clinical practice settings as one of the tasks in Work
    Package 7
•   The primary goal of this task was to evaluate the effectiveness of the
    implementation of developed protocols and guidelines to healthcare
    professionals’ (physicians, pharmacists, nurses):
     – Attitudes/Awareness
     – Knowledge
     – Reported Behaviour
•   via two different approaches:
     – by using an integrated (ICT) tool
         • additional software integrated into the ICT software used by the professional in his/her
           daily practice; country specific development
     – by using a non-integrated tool for presenting the protocols and
       guidelines
         • ICT tool developed within the framework of the project

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Categorisation of medicines and prescribing and dispensing tools - BASt
Design (1/2)

•   The target populations were health care professionals in the primary care
    setting:
     –   Physicians (Belgium, Spain)
     –   Pharmacists (Belgium, the Netherlands, Spain)
     –   Nurses (Spain)
•   In addition, a “pure” control group was added to evaluate the effectiveness of
    current practices with no DRUID-relevant information
•   Participants were introduced to the tools/software(s) used through a training
    scheme
•   Used the software during their daily practice for either prescribing or
    dispensing medicines depending on the professional groups they belonged
•   Filled in a post-questionnaire investigating the same artefacts more or less
    as the initial one in order to enhance and allow comparability and evaluate
    the effectiveness of the tool and the applied guidelines

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Categorisation of medicines and prescribing and dispensing tools - BASt
Design (2/2)

                                                No information

   66 months
      months

                                                    No information

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Categorisation of medicines and prescribing and dispensing tools - BASt
DRUID information

• Information about the following medicinal categories:
   – Anxiolytic (ATC:N05B)
   – Hypnotic (ATC: N05C)
   – Antidepressant (ATC: N05C)
• DRUID Medicines categorisation (0-III)
• Alternative medicines (less impairing effect on driving
  behaviour)
• Guidelines about health care professionals
• Patient related information

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Categorisation of medicines and prescribing and dispensing tools - BASt
Categorisation and labelling

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Categorisation of medicines and prescribing and dispensing tools - BASt
The DRUID tool

  Selecting ibuprofen (continued)
  Select the substance out of the list with
  all names starting with the typed
  characters.

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Categorisation of medicines and prescribing and dispensing tools - BASt
SoSoeMe for physicians (Belgian study)

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Categorisation of medicines and prescribing and dispensing tools - BASt
Pharmacom® for pharmacists (Dutch study)

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ViaNova for Pharmacist (Belgian study)

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Materials

 • Pre and post                             1     Background information (7 items)
                                            Aiming at gathering information about basic demographic,
   questionnaires were                      educational background and expertise of participating
                                            professional.
   administered to all                      2     New Technologies Literacy (6 items)
                                            As already discussed in the Glossary, this cluster
                                            contained items that would target to investigate the
   participants in all test sites           familiarity of the participant with similar tools and,
                                            therefore, their willingness to apply them in everyday
                                            medical practice.
 • Each site slightly adapted               3     Attitudes/Awareness (6 items)
                                            Professional judgments on medicines and driving were
   the questionnaire to their               4
                                                    investigated.
                                                  Reported Behaviour (8 items)
                                            These questions reflected what the professionals actually
   country study needs                      do in their daily practice.
                                            5     Sources (4 items)
                                            In order to get an idea of the various sources professionals
 • Pre and post                             use in order to gather information and knowledge, this
                                            section was added.
   questionnaires provided                  6     Actual knowledge (5 items)
                                            Investigate acquired knowledge on medicines’ effect in
                                            driving behaviour.
   the basis for the                        7     User acceptance (pre-2 items)
                                            How willing are to use such a tool prior testing phase
   investigation of the                     begins.
                                            8     User acceptance (post tool-8 items)
                                            Acceptance of the content and the functionalities of the
   effectiveness of the tools               tool after the testing phase ends.
                                            9     Future use of the tool (3 items)
   and the implemented                      For what searches they would more likely use the tool for
                                            and which tool they preferred.

   guidelines

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Newsletters
The importance of a good follow up

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Previous education/training

Physicians                           Pharmacists
• 74% of participants had            • 67% of participants had
  not received any type of             not received driving
  training/education                   related education on the
  regarding medicinal                  effect of medicines on
  effects on driving                   driving
  behaviour
• With the exception of the
  Spanish study that 51%
  of participants had
  received related
  education
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Previous education about the effects
of medicines on driving

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Pharmacists

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The Belgian study (1/2)

•   Significant positive
    changes in reported
    behaviour and
    medicinal risk specific
    knowledge
•   These changes were
    found for the integrated
    tool after training and
    the six-months
    intervention period
•   Limited change in
    attitudinal and
    awareness questions
•   DRUID dispensing
    guidelines were well-
    accepted and liked

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The Belgian study (2/2)

High importance of having a support system integrated in
  their daily practice as long as it is:
   –   Integrated into their daily software
   –   Updates automatically
   –   Easy to use
   –   Focus on first deliveries
   –   Cost-and time-efficient
   –   Contains concrete and detailed information
   –   Contains safer alternatives

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The Dutch study (1/2)

• Pharmacists awareness increased both before and after the training
  every time the patient was:
   – a professional driver (above 90%)
   – drove frequently (above 85%)
   – drove long distances (above 80%)
• Increased awareness, knowledge, and reported behaviour but still
  positive change was attained after training
• Significant increase in awareness (p
The Dutch study (2/2)

Number of participants
per study group

                                   Knowledge about causes of road
                                   accidents increased after training

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The Spanish study

• Increased reported behaviour (p
Physicians

Results

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The Belgian study

• Only for the integrated group a significant pre-post change was
  found with regard to the reported behaviour questions
• The SoSoeMe participants provided the patient significantly more
  with written information materials after the trial period
• Willingness to use a prescribing support tool when this tool is:
   – integrated in their daily used software
   – asks no extra efforts or time to update
   – is easy to use and
   – contains practical information
• The physicians underlined the need for more information on the topic
  ‘medicines and driving’
• This information should not only be made available to physicians but
  also be integrated in the patient leaflet or on the medicine box

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The Spanish study
•    Pharmacists did not
     significantly change their
     dispensing habits or their
     attitudes towards
     medicines and
                                                              Pre-Post knowledge composite score. Samples' percentages on
     driving(p>.05)                                     45
                                                                                   each puntuation

•    Their knowledge about the                          40
     potentially detrimental                            35

                                      Total sample %
                                                        30
     effects of medicines on                            25
     driving behaviour                                  20
     increased (p
Nurses

Results
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Nurses

• No significant differences after the training
• Nursing staff (58%) does not use integrated tools as often
  as pharmacists (99%) but almost as often as physicians
  (65%)in order to access information about medicines
   – This finding may result from the close collaboration of
     physicians and pharmacists

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Patients

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The Dutch study

•   Patients’ knowledge about causes of road accidents did not significantly change
    after the training.
•   In patients’ opinion, pharmacists are the preferable source of information about
    medicines and its use
     –   This information is often spontaneously provided to patients, especially after the training
•   During a pharmacy consultation, patients were mainly informed about the influence of
    medicines on driving fitness and on operating machinery and about the severity
    of the impairment
•   The majority of the patients decided not to change their driving frequency, despite the
    information that was provided to them by their healthcare provider
     –   This did not change depending on neither the pharmacy group nor time of measurement
•   Patients’ attitudes towards the use of driving impairing medicines while driving and
    concerning the consequences on the use of driving impairing medicines while driving
    were not influenced by the pharmacy group or the time of measurement

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The Spanish study

• 1385 patients responded and filled in the questionnaire when the
  patient visited a health service or a pharmacy
• The majority of patients knew that some medicines can influence
  fitness to drive
• Most patients (83.4%) interviewed would reduce their driving
  frequency if they were prescribed a “medicine which has the
  pictogram concerning driving on the packaging”

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Overall conclusions & recommendations

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Overall conclusions

• Decision support tools are welcome and usable
• DRUID materials fulfilled a need and most participants anticipated
  the ultimate integration of these materials to their own software
  packages
• The implementation of computerised guidelines and DRUID
  categorisation was well accepted as practical information by both
  physicians and pharmacists and participants were willing to
  continue using the DRUID information if integrated in their
  prescribing and dispensing computer systems for easier
  incorporation in their daily practices
• Participants offered ideas for future developments :
    –   inclusion of other medicines in the categorisation scheme
    –   the information should be adjusted to the native language
    –   inclusion of specialised and elderly directed advices incorporated in the system
    –   adaptation to other target groups and not only drivers (e.g. heavy machinery usage)

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Future directions

• A long term goal would be to evaluate the impact to the health care
  system and to various stakeholder groups associated with the
  implementation of health care professionals’ guidelines and compare
  it with other related studies’ findings
• Further research could facilitate its adaptation and customisation
  for different groups of health care professionals and national settings
• A set of DRUID recommendations has been derived from the main
  conclusions of both composite cross comparisons and country
  studies
• The key message is clear about the necessity of diffusion of
  DRUID information to physicians, pharmacists, and nurses in all
  clinical settings

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Recommendations-Integrated tools

• DRUID guidelines should be incorporated into
  integrated tools to maximise potential for successful
  implementation and consequently be more effective and
  efficient in daily practice
• DRUID guidelines should be available in native
  languages to avoid any difficulties time spend because
  of misinterpretations
• The DRUID categorisation system could serve as a tool
  to improve prescribing and dispensing practices both at
  national and European level

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Recommendations-Health care professionals

• The effective implementation of DRUID guidelines would be
  enhanced and maximised by the productive collaboration of
  different groups of health care professionals involved in
  prescribing/dispensing medicines with regard to patient decision
  making
• The DRUID warning label could be applied in order to facilitate
  health practitioners’ and patients’ communication
• Pharmacists should be informed about safer alternative medicines
  with regard to driving
• DRUID guidelines should be personalised and adapted to:
   –    local services idiosyncrasies
   –   local strategies
   –   cultural perspectives
   –   legal/political frameworks

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Recommendations-Patients

• Patients should be trained about the impairing effects of
  medicines and the potential consequences
   – training should be adjusted to general population and probably
     through edutainment
• A straightforward grading system and description of
  actions to follow could be included in the patient leaflet
  (the warning label could be printed on the medicine box)
  similar to the one described for health care professionals

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Recommendations-Methodology

• The conduction of evidence based studies seriously
  benefits from:
   – face-to-face communication
   – close follow up (e.g. reminders, newsletters)
   – concrete set of instructions (i.e. productive assistance)
• Training is essential for the success of DRUID
  guidelines and support throughout the testing phase
• The latter can be translated into continuous education
  for natural health settings

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