Literature DB >> 8119271

The impact of counselling with a practical statistical model on patients' decision-making about treatment for epilepsy: findings from a pilot study.

A Jacoby1, G Baker, D Chadwick, A Johnson.   

Abstract

To ascertain the impact of a computer-based predictive model on patients' decisions about continuing treatment of their epilepsy, 72 subjects were asked to complete questionnaires prior to and following counselling with the model. The subjects were attending the neurology out-patient clinic in a large UK hospital, and were identified from medical records as eligible for withdrawal of AEDs. The effect of counselling with the model was to make the majority of patients opt to continue AED therapy. Positive or negative framing of risk information appeared to influence the decisions of patients who were initially uncertain about continuing treatment, as did patients' perceptions of the clinician's views. The prognostic model appeared to allow relatively complex statistical information to be conveyed to patients in an accessible form. We suggest its use will aid clinicians in counselling patients and will help patients reach better-informed decisions about treatment.

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Mesh:

Year:  1993        PMID: 8119271     DOI: 10.1016/0920-1211(93)90081-h

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  7 in total

Review 1.  Understanding risk and lessons for clinical risk communication about treatment preferences.

Authors:  A Edwards; G Elwyn
Journal:  Qual Health Care       Date:  2001-09

2.  Is the crystal ball broken? Another external validation of the post-withdrawal seizure-relapse prediction model.

Authors:  Samuel W Terman; Herm J Lamberink; Geertruida Slinger; Willem M Otte; James F Burke; Kees P J Braun
Journal:  Epilepsia       Date:  2021-10-11       Impact factor: 6.740

Review 3.  Describing treatment effects to patients.

Authors:  Annette Moxey; Dianne O'Connell; Patricia McGettigan; David Henry
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

4.  A randomized trial of three videos that differ in the framing of information about mammography in women 40 to 49 years old.

Authors:  Carmen L Lewis; Michael P Pignone; Stacey L Sheridan; Stephen M Downs; Linda S Kinsinger
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

5.  Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study.

Authors:  Samuel W Terman; Joshua D Niznik; Geertruida Slinger; Willem M Otte; Kees P J Braun; Carole E Aubert; Wesley T Kerr; Cynthia M Boyd; James F Burke
Journal:  BMC Neurol       Date:  2022-09-01       Impact factor: 2.903

6.  Long-term outcomes of epilepsy surgery in Sweden: a national prospective and longitudinal study.

Authors:  Anna Edelvik; Bertil Rydenhag; Ingrid Olsson; Roland Flink; Eva Kumlien; Kristina Källén; Kristina Malmgren
Journal:  Neurology       Date:  2013-08-21       Impact factor: 9.910

7.  The long-term outcomes of epilepsy surgery.

Authors:  Midhun Mohan; Simon Keller; Andrew Nicolson; Shubhabrata Biswas; David Smith; Jibril Osman Farah; Paul Eldridge; Udo Wieshmann
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

  7 in total

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