Bridging the goal intention–action gap in rehabilitation: a study of if-then implementation intentions in neurorehabilitation

References

• Wade DT. Goal setting in rehabilitation: an overview of what, why and how. Clin Rehabil 2009;23:291–5
   PubMed Web of Science ®Google Scholar
• Rosewilliam S, Roskell CA, Pandyan A. A systematic review and synthesis of the quantitative and qualitative evidence behind patient-centred goal setting in stroke rehabilitation. Clin Rehabil 2011;25:501–14
   PubMed Web of Science ®Google Scholar
• Sugavanam T, Mead G, Bulley C, et al. The effects and experiences of goal setting in stroke rehabilitation-a systematic review. Disabil Rehabil 2013;35:177–90
   PubMed Web of Science ®Google Scholar
• Gollwitzer PM. Implementation intentions: strong effects of simple plans. Am Psychol 1999;54:493–503
   Web of Science ®Google Scholar
• McPherson KM, Kayes NM, Kersten P. MEANING as a smarter approach to goals in rehabilitation. In: Siegert RJ, Levack WMM, eds. Rehabilitation goal setting: theory, practice and evidence. CRC Press: London; 2014:105–19
   Google Scholar
• Sheeran P. Intention-behavior relations: a conceptual and empirical review. In: Stroebe W, Hewstone M, eds. European review of social psychology. Chichester: Wiley; 2002:1–30
   Google Scholar
• Gollwitzer PM, Sheeran P. Implementation intentions. Available from: http://cancercontrol.cancer.gov/BRP/constructs/implementation_intentions/goal_intent_attain.pdf [last accessed 23 Sept 2013]
   Google Scholar
• Gollwitzer PM, Sheeran P. Implementation intentions and goal achievement: a meta-analysis of effects and processes. Adv Exp Soc Psychol. 2006;38:69–119
   Google Scholar
• Bandura A. Self-efficacy: the exercise of control. New York: Freeman; 1997
   Google Scholar
• Schunk DH, Zimmerman BJ. Social origins of self-regulatory competence. Educ Psychol 1997;32:195–208
   Web of Science ®Google Scholar
• Siegert RJ, McPherson KM, Taylor WJ. Toward a cognitive-affective model of goal-setting in rehabilitation: is self-regulation theory a key step? Disabil Rehabil 2004;26:1175–83
   PubMed Web of Science ®Google Scholar
• Levack WMM, Taylor K, Siegert RJ, et al. Is goal planning in rehabilitation effective? A systematic review. Clin Rehabil 2006;20:739–55
   PubMed Web of Science ®Google Scholar
• Asano M, Duquette P, Andersen R, et al. Exercise barriers and preferences among women and men with multiple sclerosis. Disabil Rehabil 2013;35:353–61
   PubMed Web of Science ®Google Scholar
• Mulligan H, Whitehead LC, Hale LA, et al. Promoting physical activity for individuals with neurological disability: indications for practice. Disabil Rehabil 2012;34:1108–13
   PubMed Web of Science ®Google Scholar
• Simpson LA, Eng JJ, Tawashy AE, et al. Exercise perceptions among people with stroke: barriers and facilitators to participation. Int J Therap Rehabil 2011;18:520–30
   PubMedGoogle Scholar
• Kayes NM, McPherson KM, Schluter P, et al. Exploring the facilitators and barriers to engagement in physical activity for people with multiple sclerosis. Disabil Rehabil 2011;33:1043–53
   PubMed Web of Science ®Google Scholar
• Ziegelmann JP, Luszczynska A, Lippke S, Schwarzer R. Are goal intentions or implementation intentions better predictors of health behavior? A longitudinal study in orthopedic rehabilitation. Rehabil Psychol 2007;52:97–102
   Web of Science ®Google Scholar
• Gollwitzer PM, Brandstätter V. Implementation intentions and effective goal pursuit. J Person Soc Psychol 1997;73:186–99
   Web of Science ®Google Scholar
• Gollwitzer PM, Oettingen G. The emergence and implementation of health goals. Psychol Health 1998;13:687–715
   Web of Science ®Google Scholar
• Parks-Stamm EJ, Gollwitzer PM, Oettingen G. Action control by implementation intentions: effective cue detection and efficient response initiation. Social Cogn 2007;25:248–66
   Web of Science ®Google Scholar
• Webb TL, Sheeran P. Mechanisms of implementation intention effects: the role of goal intentions, self-efficacy, and accessibility of plan components. Br J Soc Psychol 2008;47:373–95
   PubMed Web of Science ®Google Scholar
• Oettingen G, Hönig G, Gollwitzer PM. Effective self-regulation of goal attainment. Int J Educ Res 2000;33:705–32
   Google Scholar
• Arbour KP, Martin Ginis KA. A randomised controlled trial of the effects of implementation intentions on women's walking behaviour. Psychol Health 2009;24:49–65
   PubMed Web of Science ®Google Scholar
• Armitage CJ. Effects of an implementation intention-based intervention on fruit consumption. Psychol Health 2007;22:917–28
   Web of Science ®Google Scholar
• Armitage CJ, Arden MA. A volitional help sheet to increase physical activity in people with low socioeconomic status: a randomised exploratory trial. Psychol Health 2010;25:1129–45
   PubMed Web of Science ®Google Scholar
• Chapman J, Armitage CJ. Evidence that boosters augment the long-term impact of implementation intentions on fruit and vegetable intake. Psychol Health 2010;25:365–81
   PubMed Web of Science ®Google Scholar
• Chapman J, Armitage CJ, Norman P. Comparing implementation intention interventions in relation to young adults' intake of fruit and vegetables. Psychol Health 2009;24:317–32
   PubMed Web of Science ®Google Scholar
• Prestwich A, Ayres K, Lawton R. Crossing two types of implementation intentions with a protection motivation intervention for the reduction of saturated fat intake: a randomized trial. Soc Sci Med 2008;67:1550–8
   PubMed Web of Science ®Google Scholar
• Prestwich A, Perugini M, Hurling R. Can the effects of implementation intentions on exercise be enhanced using text messages? Psychol Health 2009;24:677–87
   PubMed Web of Science ®Google Scholar
• Prestwich A, Perugini M, Hurling R. Can implementation intentions and text messages promote brisk walking? A randomized trial. Health Psychol 2010;29:40–9
   PubMed Web of Science ®Google Scholar
• Stadler G, Oettingen G, Gollwitzer PM. Physical activity in women. effects of a self-regulation intervention. Am J Prevent Med 2009;36:29–34
   PubMed Web of Science ®Google Scholar
• Stadler G, Oettingen G, Gollwitzer PM. Intervention effects of information and self-regulation on eating fruits and vegetables over two years. Health Psychol 2010;29:274–83
   PubMed Web of Science ®Google Scholar
• Kersten P, McCambridge A, Kayes NM, et al. Bridging the gap between goal intentions and actions: a systematic review in patient populations. Disabil Rehabil 2014. [Epub ahead of print]. doi: 10.3109/09638288.2014.935874
   Google Scholar
• Brown I, Sheeran P, Reuber M. Enhancing antiepileptic drug adherence: a randomized controlled trial. Epilepsy Behav 2009;16:634–9
   PubMed Web of Science ®Google Scholar
• O'Carroll RE, Chambers JA, Dennis M, et al. Improving adherence to medication in stroke survivors: a pilot randomised controlled trial. Ann Behav Med 2013;46:358–68
   PubMed Web of Science ®Google Scholar
• O'Carroll RE, Dennis M, Johnston M, Sudlow C. Improving adherence to medication in stroke survivors (IAMSS): a randomised controlled trial: study protocol. BMC Neurol 2010;10:15
   PubMed Web of Science ®Google Scholar
• Christiansen S, Oettingen G, Dahme B, Klinger R. A short goal-pursuit intervention to improve physical capacity: a randomized clinical trial in chronic back pain patients. Pain 2010;149:444–52
   PubMed Web of Science ®Google Scholar
• Belanger-Gravel A, Godin G, Bilodeau A, Poirier P. The effect of implementation intentions on physical activity among obese older adults: a randomised control study. Psychol Health 2013;28:217–33
   PubMed Web of Science ®Google Scholar
• Kahn RL, Goldfarb AI, Pollack M, Peck A. Brief objective measures for the determination of mental status in the aged. Am J Psychiatr 1960;117:326–8
   PubMed Web of Science ®Google Scholar
• Bovend'Eerdt TJH, Botell RE, Wade DT. Writing SMART rehabilitation goals and achieving goal attainment scaling: a practical guide. Clin Rehabil 2009;23:352–61
   PubMed Web of Science ®Google Scholar
• Turner-Stokes L. Goal attainment scaling (GAS) in rehabilitation: a practical guide. Clin Rehabil 2009;23:362–70
   PubMed Web of Science ®Google Scholar
• Thomas S, Thomas P, Kersten P, et al. A pragmatic parallel arm multi-centre randomised controlled trial to assess the effectiveness and costeffectiveness of a group-based fatigue management programme (FACETS) for people with multiple sclerosis. J Neurol Neurosurg Psychiatr 2013;84:1092–9
   PubMed Web of Science ®Google Scholar
• Sullivan MJL, Adams H, Rhodenizer T, Stanish WD. A psychosocial risk factor-targeted intervention for the prevention of chronic pain and disability following whiplash injury. Phys Therapy 2006;86:8–18
   PubMed Web of Science ®Google Scholar
• Kayes NM, McPherson KM, Taylor D, Schluter P. The facilitating activity for well-being (FAB) programme: a pilot study of a new approach to engaging people with multiple sclerosis in goal-directed therapy. Queenstown, New Zealand: New Zealand Rehabilitation Association; 2009:49
   Google Scholar
• Kitzinger J. Qualitative research. Introducing focus groups. Br Med J 1995;311:299–302
   PubMed Web of Science ®Google Scholar
• Krueger RA, Casey MA. Focus groups: a practical guide for applied research. London: Sage publications; 2000
   Google Scholar
• Bohannon RW. Walking after stroke: comfortable versus maximum safe speed. Int J Rehabil Res 1992;15:246–48
   PubMedGoogle Scholar
• Vaney C, Blaurock H, Gattlen B, Meisels C. Assessing mobility in multiple sclerosis using the Rivermead Mobility Index and gait speed. Clin Rehabil 1996;10:216–26
   Google Scholar
• Collen FM, Wade DT, Robb GF, Bradshaw CM. The Rivermead Mobility Index: a further development of the Rivermead Motor Assessment. Int Disabil Stud 1991;13:50–4
   PubMedGoogle Scholar
• Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the patient activation measure. Health Serv Res 2005;4019:18–30
   Google Scholar
• Hibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the patient activation measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res 2004;39:1005–26
   PubMed Web of Science ®Google Scholar
• Schwarzer R, Jerusalem M. Generalized self-efficacy scale. In: Weiman J, Wright S, Johnston M, eds. Measures in health psychology: a user’s portfolio. Windsor: NFER-NELSON; 1995:35–7
   Google Scholar
• Lorig K, Stewart A, Ritter P, et al. Outcome measures for health education and other health care interventions. Thousand Oaks (CA): Sage Publications; 1996
   Google Scholar
• Ware JE Jr. SF-36 health survey update. Spine 2000;25:3130–9
   PubMed Web of Science ®Google Scholar
• Skevington SM, Lotfy M, O'Connell KA. The World Health Organization's WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res 2004;13:299–310
   PubMed Web of Science ®Google Scholar
• Krägeloh CU, Kersten P, Billington DR, et al. Validation of the WHOQOL-BREF quality of life questionnaire for general use in New Zealand: confirmatory factor analysis and Rasch analysis. Qual Life Res 2013;22:1451–7
   PubMed Web of Science ®Google Scholar
• Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006;3:77–101
   Google Scholar
• Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med 2006;38:237–42
   PubMed Web of Science ®Google Scholar
• Jette AM, Haley SM, Tao W, et al. Prospective evaluation of the AM-PAC-CAT in outpatient rehabilitation settings. Phys Therap 2007;87:385–98
   PubMed Web of Science ®Google Scholar
• Jette AM, Ni P, Rasch EK, et al. Evaluation of patient and proxy responses on the activity measure for postacute care. Stroke 2012;43:824–9
   PubMed Web of Science ®Google Scholar
• Skolasky RL, MacKenzie EJ, Riley LH, Wegener ST. Psychometric properties of the Patient Activation Measure among individuals presenting for elective lumbar spine surgery. Qual Life Res 2009;18:1357–66
   PubMed Web of Science ®Google Scholar
• Stepleman L, Rutter M, Hibbard J, et al. Validation of the patient activation measure in a multiple sclerosis clinic sample and implications for care. Disabil Rehabil 2010;32:1558–67
   PubMed Web of Science ®Google Scholar
• Skolasky RL, Green AF, Scharfstein D, et al. Psychometric properties of the patient activation measure among multimorbid older adults. Health Serv Res 2011;46:457–78
   PubMed Web of Science ®Google Scholar
• Watson MJ. Refining the ten-metre walking test for use with neurologically impaired people. Physiotherapy 2002;88:386–97
   Google Scholar
• Taylor D, Stretton CM, Mudge S, Garrett N. Does clinic-measured gait speed differ from gait speed measured in the community in people with stroke? Clin Rehabil 2006;20:438–44
   PubMed Web of Science ®Google Scholar
• Roorda LD, Green JR, Houwink A, et al. The Rivermead mobility index allows valid comparisons between subgroups of patients undergoing rehabilitation after stroke who differ with respect to age, sex, or side of lesion. Arch Phys Med Rehabil 2012;93:1086–90
   PubMed Web of Science ®Google Scholar
• Hobart J, Cano S. Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods. Health Technol Assess 2009;13:12
   Google Scholar
• Peter C, Cieza A, Geyh S. Rasch analysis of the General Self-Efficacy Scale (GSES) in spinal cord injury (SCI). J Health Psychol 2014;19:544–55
   PubMed Web of Science ®Google Scholar
• Rimm H, Jerusalem M. Adaptation and validation of an Estonian version of the General Self-Efficacy Scale (ESES). Anxiety Stress Coping 1999;12:329–45
   Web of Science ®Google Scholar
• Freund T, Gensichen J, Goetz K, et al. Evaluating self-efficacy for managing chronic disease: psychometric properties of the six-item Self-Efficacy Scale in Germany. J Eval Clin Pract 2013;19:39–43
   PubMed Web of Science ®Google Scholar
• Almborg AH, Berg S. Quality of life among Swedish patients after stroke: psychometric evaluation of SF-36. J Rehabil Med 2009;41:48–53
   PubMed Web of Science ®Google Scholar
• Krokavcova M, van Dijk JP, Nagyova I, et al. Perceived health status as measured by the SF-36 in patients with multiple sclerosis: a review. Scand J Care Sci 2009;23:529–38
   PubMed Web of Science ®Google Scholar
• Krägeloh CU, Kersten P, Billington DR, et al. Validation of the WHOQOL-BREF quality of life questionnaire for general use in New Zealand: confirmatory factor analysis and Rasch analysis. Qual Life Res 2013;22:1451–7
   PubMed Web of Science ®Google Scholar
• Hill MR, Noonan VK, Sakakibara BM, Miller WC. Quality of life instruments and definitions in individuals with spinal cord injury: a systematic review. Spinal Cord 2010;48:438–50
   PubMed Web of Science ®Google Scholar