Understanding patients' preferences for treatment: the need for innovative methodologies

Frewer, L J; Salter, B; Lambert, N

doi:10.1136/qhc.0100050..

Cited by 14 publications

(17 citation statements)

References 14 publications

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“…It seems there would be scope for multidisciplinary research in this area that made use of both quantitative techniques, such as conjoint analysis (see paper by Ryan et al 36 in this supplement) and qualitative data methods (see papers by Frewer et al 37 and Kennelly and Bowling 30 in this supplement). Such methods may be used to explore whether apparent age related diVerences are truly age dependent or reflect an age cohort eVect, as well as exploring other factors influencing preferences for participation in decision making.…”

Section: Resultsmentioning

confidence: 99%

Variability in patient preferences for participating in medical decision making: implication for the use of decision support tools

Robinson¹,

Thomson²

2001

Quality and Safety in Health Care

107

114

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While there is an increasing emphasis on patient empowerment and shared decision making, evidence suggests that many patients do not wish to be involved in decisions about their own care. Previous research has found patient preferences for involvement in decision making to vary with age, socioeconomic status, illness experience, and the gravity of the decision. Furthermore, there is evidence that certain patients may experience disutility from being involved in decision making about the treatment of their health problems. We discuss the implications of these findings for the use of decision support tools and the diYculties of targeting their use towards those patients most likely to benefit. We argue that patients may be ill informed about what participation in decision making actually entails and unaware of the benefits they stand to gain by articulating their preferences to their clinician. Furthermore, clinicians are not good at accurately assessing patients' preferences, while patients may have unrealistic expectations about their clinician's ability to "know what is best" for them. Further research is required to understand variations in patients' preferences for information and involvement in decision making, and the factors that influence them. (Quality in Health Care 2001;10(Suppl I):i34-i38)

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Section: Resultsmentioning

confidence: 99%

Variability in patient preferences for participating in medical decision making: implication for the use of decision support tools

Robinson¹,

Thomson²

2001

Quality and Safety in Health Care

107

114

View full text Add to dashboard Cite

show abstract

“…The technique is widely used (e.g. in consumer science), although it has been neglected in health services research (Frewer et al 2001 RGA is a semi-structured, psychological tool, which is useful in providing information about people's individual 'personal constructs' (i.e. attitudes, their inter-relationships, and the reasoning underlying them) .…”

Section: Quality Assessmentmentioning

confidence: 99%

The measurement of patients’ expectations for health care: a review and psychometric testing of a measure of patients’ expectations.

Bowling

Rowe²,

Lambert³

et al. 2012

Health Technol Assess

Self Cite

251

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How to obtain copies of this and other HTA programme reports An electronic version of this title, in Adobe Acrobat format, is available for downloading free of charge for personal use from the HTA website (www.hta.ac.uk). A fully searchable DVD is also available (see below).Printed copies of HTA journal series issues cost £20 each (post and packing free in the UK) to both public and private sector purchasers from our despatch agents.Non-UK purchasers will have to pay a small fee for post and packing. For European countries the cost is £2 per issue and for the rest of the world £3 per issue. How to order:-fax (with credit card details) -post (with credit card details or cheque) -phone during office hours (credit card only).Additionally the HTA website allows you to either print out your order or download a blank order form. Contact details are as follows:Synergie UK (HTA Department) Digital House, The Loddon Centre Wade Road Basingstoke Hants RG24 8QW Email: orders@hta.ac.uk Tel: 0845 812 4000 -ask for 'HTA Payment Services' (out-of-hours answer-phone service) Fax: 0845 812 4001 -put 'HTA Order' on the fax header Payment methods Paying by chequeIf you pay by cheque, the cheque must be in pounds sterling, made payable to University of Southampton and drawn on a bank with a UK address.Paying by credit card You can order using your credit card by phone, fax or post. SubscriptionsNHS libraries can subscribe free of charge. Public libraries can subscribe at a reduced cost of £100 for each volume (normally comprising 40-50 titles). The commercial subscription rate is £400 per volume (addresses within the UK) and £600 per volume (addresses outside the UK). Please see our website for details. Subscriptions can be purchased only for the current or forthcoming volume.How do I get a copy of HTA on DVD?Please use the form on the HTA website (www.hta.ac.uk/htacd/index.shtml). HTA on DVD is currently free of charge worldwide.The website also provides information about the HTA programme and lists the membership of the various committees. HTA NIHR Health Technology Assessment programmeThe Health Technology Assessment (HTA) programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care. The research findings from the HTA programme directly influence decision-making bodies such as the National Institute for Health and Clinical Excellence (NICE) and the National Screening Committee (NSC). HTA findings also help to improve the quality of clinical practice in the NHS indirectly in that they form a key component of the 'National Knowledge Service' . The HTA programme is needs led in that it fills gaps in the evidence needed by the NHS. There are three routes to the start of project...

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“…Although there is increased recognition within the healthcare community that patients participate more and more in treatment selection [1,2], there is still a scarcity of research regarding factors that determine individual treatment preference. Patients' attitudes toward treatment not only affect choice but also adherence [3][4][5], individuals being very utilitarian concerning treatments, 'choosing therapies and providers which help them without regard to type, ideology or theoretical construct' [6].…”

Section: Introductionmentioning

confidence: 99%

Personality Does Not Predict Treatment Preference, Treatment Experience Does: A Study of Four Complementary Pain Treatments

Blasche¹,

Melchart²,

Leitner³

et al. 2007

Complement Med Res

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The aim of the present study was to determine the extent to which personality and treatment experience affect patients’ appraisals of 4 complementary treatments for chronic pain. Patients and Methods: A total of 232 chronic pain patients (164 females, 68 males, average age 56.6 years) visiting a spa clinic in Austria returned a questionnaire on patient characteristics and personality (autonomy, depressiveness, assertiveness, selfcontrol) as well as attitudes towards (i.e. appealing, effective, pleasant) and experience of the treatments. Results were analysed by use of linear regression analysis and confidence intervals. Results: Although all treatments were appraised positively, the passive treatments (thermal water tub baths, classical massage) were favoured more than the active treatments (relaxation training or exercise therapy). Treatment appraisal was not predicted by any of the personality traits but to a large extent by treatment experience. Relaxing, not unpleasant treatments were the most highly esteemed treatments. How strenuous or tiring a treatment was only had a minor effect on its appraisal. Conclusions: Neither do dependent, passive patients prefer passive treatments, nor do conscientious patients prefer active treatments. Instead, the appraisal of treatments that induce specific somatosensory sensations is largely determined by treatment experiences, i.e. what the treatment feels like. Despite the popularity of CAM which encompasses many experientially intensive treatments, treatment experience has to date been a neglected topic of treatment research.

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Understanding patients' preferences for treatment: the need for innovative methodologies

Cited by 14 publications

References 14 publications

Variability in patient preferences for participating in medical decision making: implication for the use of decision support tools

Variability in patient preferences for participating in medical decision making: implication for the use of decision support tools

The measurement of patients’ expectations for health care: a review and psychometric testing of a measure of patients’ expectations.

Personality Does Not Predict Treatment Preference, Treatment Experience Does: A Study of Four Complementary Pain Treatments

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