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Published in: Trials 1/2019

Open Access 01-12-2019 | Care | Research

Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective

Authors: John A. Ford, Andy P. Jones, Geoff Wong, Garry Barton, Allan Clark, Erika Sims, Ann Marie Swart, Nick Steel

Published in: Trials | Issue 1/2019

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Abstract

Background

Primary care access can be challenging for older, rural, socio-economically disadvantaged populations. Here we report the I-ACT cluster feasibility trial which aims to assess the feasibility of trial design and context-sensitive intervention to improve primary care access for this group and so expand existing theory.

Methods

Four general practices were recruited; three randomised to intervention and one to usual care. Intervention practices received £1500, a support manual and four meetings to develop local, innovative solutions to improve the booking system and transport.
Patients aged over 64 years old and without household car access were recruited to complete questionnaires when booking an appointment or attending the surgery. Outcome measures at 6 months included: self-reported ease of booking an appointment and transport; health care use; patient activation; capability; and quality of life. A process evaluation involved observations and interviews with staff and participants.

Results

Thirty-four patients were recruited (26 female, eight male, mean age 81.6 years for the intervention group and 79.4 for usual care) of 1143 invited (3% response rate). Most were ineligible because of car access. Twenty-nine participants belonged to intervention practices and five to usual care. Practice-level data was available for all participants, but participant self-reported data was unavailable for three. Fifty-six appointment questionnaires were received based on 150 appointments (37.3%).
Practices successfully designed and implemented the following context-sensitive interventions: Practice A: a stacked telephone system and promoting community transport; Practice B: signposting to community transport, appointment flexibility, mobility scooter charging point and promoting the role of receptionists; and Practice C: local taxi firm partnership and training receptionists. Practices found the process acceptable because it gave freedom, time and resource to be innovative or provided an opportunity to implement existing ideas. Data collection methods were acceptable to participants, but some found it difficult remembering to complete booking and appointment questionnaires. Expanded theory highlighted important mechanisms, such as reassurance, confidence, trust and flexibility.

Conclusions

Recruiting older participants without access to a car proved challenging. Retention of participants and practices was good but only about a third of appointment questionnaires were returned. This study design may facilitate a shift from one-size-fits-all interventions to more context-sensitive interventions.

Trial registration

ISRCTN18321951, Registered on 6 March 2017.
Appendix
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Literature
1.
go back to reference Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.CrossRef Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.CrossRef
4.
go back to reference National Audit Office. Stocktake of access to general practice in England. London: Department of Health and NHS England; 2015. National Audit Office. Stocktake of access to general practice in England. London: Department of Health and NHS England; 2015.
5.
go back to reference Goddard M. Quality in and equality of access to healthcare services in England. York: University of York; 2008. Goddard M. Quality in and equality of access to healthcare services in England. York: University of York; 2008.
6.
go back to reference Kehle SM, Greer N, Rutks I, Wilt T. Interventions to improve veterans’ access to care: a systematic review of the literature. J Gen Intern Med. 2011;26(Suppl 2):689–96.CrossRef Kehle SM, Greer N, Rutks I, Wilt T. Interventions to improve veterans’ access to care: a systematic review of the literature. J Gen Intern Med. 2011;26(Suppl 2):689–96.CrossRef
7.
go back to reference Comino EJ, Davies GP, Krastev Y, Haas M, Christl B, Furler J, et al. A systematic review of interventions to enhance access to best practice primary health care for chronic disease management, prevention and episodic care. BMC Health Serv Res. 2012;12:415.CrossRef Comino EJ, Davies GP, Krastev Y, Haas M, Christl B, Furler J, et al. A systematic review of interventions to enhance access to best practice primary health care for chronic disease management, prevention and episodic care. BMC Health Serv Res. 2012;12:415.CrossRef
8.
go back to reference Wakerman J, Humphreys JS, Wells R, Kuipers P, Entwistle P, Jones J. Primary health care delivery models in rural and remote Australia: a systematic review. BMC Health Serv Res. 2008;8:276.CrossRef Wakerman J, Humphreys JS, Wells R, Kuipers P, Entwistle P, Jones J. Primary health care delivery models in rural and remote Australia: a systematic review. BMC Health Serv Res. 2008;8:276.CrossRef
9.
go back to reference Ford JA, Jones AP, Wong G, Clark AB, Porter T, Shakespeare T, et al. Improving access to high-quality primary care for socioeconomically disadvantaged older people in rural areas: a mixed method study protocol. BMJ Open. 2015;5(9):e009104.CrossRef Ford JA, Jones AP, Wong G, Clark AB, Porter T, Shakespeare T, et al. Improving access to high-quality primary care for socioeconomically disadvantaged older people in rural areas: a mixed method study protocol. BMJ Open. 2015;5(9):e009104.CrossRef
10.
go back to reference Pawson R. Evidence-based policy: a realist perspective. London: SAGE; 2006.CrossRef Pawson R. Evidence-based policy: a realist perspective. London: SAGE; 2006.CrossRef
11.
go back to reference Pawson R, Greenhalgh T, Harvey G, Walshe K. Realist review-a new method of systematic review designed for complex policy interventions. J Health Serv Res Policy. 2005;10(Suppl 1):21–34.CrossRef Pawson R, Greenhalgh T, Harvey G, Walshe K. Realist review-a new method of systematic review designed for complex policy interventions. J Health Serv Res Policy. 2005;10(Suppl 1):21–34.CrossRef
12.
go back to reference Fletcher A, Jamal F, Moore G, Evans RE, Murphy S, Bonell C. Realist complex intervention science: applying realist principles across all phases of the Medical Research Council framework for developing and evaluating complex interventions. Evaluation (Lond). 2016;22:286–303.CrossRef Fletcher A, Jamal F, Moore G, Evans RE, Murphy S, Bonell C. Realist complex intervention science: applying realist principles across all phases of the Medical Research Council framework for developing and evaluating complex interventions. Evaluation (Lond). 2016;22:286–303.CrossRef
13.
go back to reference Ford JA, Wong G, Jones AP, Steel N. Access to primary care for socioeconomically disadvantaged older people in rural areas: a realist review. BMJ Open. 2016;6:e010652.CrossRef Ford JA, Wong G, Jones AP, Steel N. Access to primary care for socioeconomically disadvantaged older people in rural areas: a realist review. BMJ Open. 2016;6:e010652.CrossRef
14.
go back to reference Ford JA, Turley R, Porter T, Shakespeare T, Wong G, Jones AP, et al. Access to primary care for socio-economically disadvantaged older people in rural areas: A qualitative study. PLoS One. 2018;13:e0193952.CrossRef Ford JA, Turley R, Porter T, Shakespeare T, Wong G, Jones AP, et al. Access to primary care for socio-economically disadvantaged older people in rural areas: A qualitative study. PLoS One. 2018;13:e0193952.CrossRef
15.
go back to reference Ford JA, Jones A, Wong G, Clark A, Porter T, Steel N. Access to primary care for socio-economically disadvantaged older people in rural areas: exploring realist theory using structural equation modelling in a linked dataset. BMC Med Res Methodol. 2018;18:57.CrossRef Ford JA, Jones A, Wong G, Clark A, Porter T, Steel N. Access to primary care for socio-economically disadvantaged older people in rural areas: exploring realist theory using structural equation modelling in a linked dataset. BMC Med Res Methodol. 2018;18:57.CrossRef
16.
go back to reference NHS Health and Social Care Information Centre. Indicator portal. 2016. NHS Health and Social Care Information Centre. Indicator portal. 2016.
17.
go back to reference Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.CrossRef Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.CrossRef
18.
go back to reference Coast J, Flynn TN, Natarajan L, Sproston K, Lewis J, Louviere JJ, et al. Valuing the ICECAP capability index for older people. Soc Sci Med. 2008;67:874–82.CrossRef Coast J, Flynn TN, Natarajan L, Sproston K, Lewis J, Louviere JJ, et al. Valuing the ICECAP capability index for older people. Soc Sci Med. 2008;67:874–82.CrossRef
19.
go back to reference Hibbard JH, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013;32:207–14.CrossRef Hibbard JH, Greene J. What the evidence shows about patient activation: better health outcomes and care experiences; fewer data on costs. Health Aff (Millwood). 2013;32:207–14.CrossRef
20.
go back to reference Eldridge SM, Costelloe CE, Kahan BC, Lancaster GA, Kerry SM. How big should the pilot study for my cluster randomised trial be? Stat Methods Med Res. 2016;25:1039–56.CrossRef Eldridge SM, Costelloe CE, Kahan BC, Lancaster GA, Kerry SM. How big should the pilot study for my cluster randomised trial be? Stat Methods Med Res. 2016;25:1039–56.CrossRef
21.
go back to reference Nemes S, Garellick G, Salomonsson R, Rolfson O. Crosswalk algorithms for the conversion of mean EQ-5D indices calculated with different value sets. Scand J Public Health. 2016;44:455–61.CrossRef Nemes S, Garellick G, Salomonsson R, Rolfson O. Crosswalk algorithms for the conversion of mean EQ-5D indices calculated with different value sets. Scand J Public Health. 2016;44:455–61.CrossRef
22.
go back to reference National Institute for Clinical Excellence. The guidelines manual. London: NICE; 2009. National Institute for Clinical Excellence. The guidelines manual. London: NICE; 2009.
24.
go back to reference QSR International Pty Ltd. NVivo qualitative data analysis Software. Version 10. 2012. QSR International Pty Ltd. NVivo qualitative data analysis Software. Version 10. 2012.
25.
go back to reference Manzano A. The craft of interviewing in realist evaluation. Evaluation. 2016;22:342–60.CrossRef Manzano A. The craft of interviewing in realist evaluation. Evaluation. 2016;22:342–60.CrossRef
27.
go back to reference Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press; 2015. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press; 2015.
28.
go back to reference Holley-Moore G, Creighton H. The future of transport in an ageing society. London: Age UK; 2015. Holley-Moore G, Creighton H. The future of transport in an ageing society. London: Age UK; 2015.
30.
go back to reference Department for Environment Food and Rural Affairs. Statistical Digest of Rural England. 2018. Department for Environment Food and Rural Affairs. Statistical Digest of Rural England. 2018.
31.
go back to reference Curtis LM, Burns A. Unit Costs of Health and Social Care 2017. Canterbury: University of Kent; 2017. Curtis LM, Burns A. Unit Costs of Health and Social Care 2017. Canterbury: University of Kent; 2017.
33.
go back to reference Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655.CrossRef Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008;337:a1655.CrossRef
34.
go back to reference Nahum-Shani I, Qian M, Almirall D, Pelham WE, Gnagy B, Fabiano GA, et al. Experimental design and primary data analysis methods for comparing adaptive interventions. Psychol Methods. 2012;17:457–77.CrossRef Nahum-Shani I, Qian M, Almirall D, Pelham WE, Gnagy B, Fabiano GA, et al. Experimental design and primary data analysis methods for comparing adaptive interventions. Psychol Methods. 2012;17:457–77.CrossRef
35.
go back to reference Almirall D, Nahum-Shani I, Sherwood NE, Murphy SA. Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research. Transl Behav Med. 2014;4:260–74.CrossRef Almirall D, Nahum-Shani I, Sherwood NE, Murphy SA. Introduction to SMART designs for the development of adaptive interventions: with application to weight loss research. Transl Behav Med. 2014;4:260–74.CrossRef
36.
go back to reference Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, et al. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015;34s:1220–8.CrossRef Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, et al. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015;34s:1220–8.CrossRef
37.
go back to reference Elouafkaoui P, Young L, Newlands R, Duncan EM, Elders A, Clarkson JE, et al. An audit and feedback intervention for reducing antibiotic prescribing in general dental practice: The RAPiD cluster randomised controlled trial. PLoS Med. 2016;13:e1002115.CrossRef Elouafkaoui P, Young L, Newlands R, Duncan EM, Elders A, Clarkson JE, et al. An audit and feedback intervention for reducing antibiotic prescribing in general dental practice: The RAPiD cluster randomised controlled trial. PLoS Med. 2016;13:e1002115.CrossRef
38.
go back to reference Bonell C, Fletcher A, Morton M, Lorenc T, Moore L. Realist randomised controlled trials: a new approach to evaluating complex public health interventions. Soc Sci Med. 2012;75:2299–306.CrossRef Bonell C, Fletcher A, Morton M, Lorenc T, Moore L. Realist randomised controlled trials: a new approach to evaluating complex public health interventions. Soc Sci Med. 2012;75:2299–306.CrossRef
39.
go back to reference Jamal F, Fletcher A, Shackleton N, Elbourne D, Viner R, Bonell C. The three stages of building and testing mid-level theories in a realist RCT: a theoretical and methodological case-example. Trials. 2015;16:466.CrossRef Jamal F, Fletcher A, Shackleton N, Elbourne D, Viner R, Bonell C. The three stages of building and testing mid-level theories in a realist RCT: a theoretical and methodological case-example. Trials. 2015;16:466.CrossRef
40.
go back to reference Marchal B, Westhorp G, Wong G, Van Belle S, Greenhalgh T, Kegels G, et al. Realist RCTs of complex interventions—an oxymoron. Soc Sci Med. 2013;94:124–8.CrossRef Marchal B, Westhorp G, Wong G, Van Belle S, Greenhalgh T, Kegels G, et al. Realist RCTs of complex interventions—an oxymoron. Soc Sci Med. 2013;94:124–8.CrossRef
41.
go back to reference Van Belle S, Wong G, Westhorp G, Pearson M, Emmel N, Manzano A, et al. Can ‘realist’ randomised controlled trials be genuinely realist? Trials. 2016;17:313.CrossRef Van Belle S, Wong G, Westhorp G, Pearson M, Emmel N, Manzano A, et al. Can ‘realist’ randomised controlled trials be genuinely realist? Trials. 2016;17:313.CrossRef
42.
go back to reference Hawkins AJ. Realist evaluation and randomised controlled trials for testing program theory in complex social systems. Evaluation. 2016;22:270–85.CrossRef Hawkins AJ. Realist evaluation and randomised controlled trials for testing program theory in complex social systems. Evaluation. 2016;22:270–85.CrossRef
43.
go back to reference Bonell C, Warren E, Fletcher A, Viner R. Realist trials and the testing of context-mechanism-outcome configurations: a response to Van Belle et al. Trials. 2016;17:478.CrossRef Bonell C, Warren E, Fletcher A, Viner R. Realist trials and the testing of context-mechanism-outcome configurations: a response to Van Belle et al. Trials. 2016;17:478.CrossRef
44.
go back to reference Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013;50:587–92.CrossRef Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013;50:587–92.CrossRef
45.
go back to reference Hawe P, Shiell A, Riley T. Complex interventions: how ‘out of control’ can a randomised controlled trial be? BMJ. 2004;328:1561–3.CrossRef Hawe P, Shiell A, Riley T. Complex interventions: how ‘out of control’ can a randomised controlled trial be? BMJ. 2004;328:1561–3.CrossRef
46.
go back to reference Bonell C, Oakley A, Hargreaves J, Strange V, Rees R. Assessment of generalisability in trials of health interventions: suggested framework and systematic review. BMJ. 2006;333:346–9.CrossRef Bonell C, Oakley A, Hargreaves J, Strange V, Rees R. Assessment of generalisability in trials of health interventions: suggested framework and systematic review. BMJ. 2006;333:346–9.CrossRef
47.
go back to reference Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, et al. Framework for design and evaluation of complex interventions to improve health. BMJ. 2000;321:694–6.CrossRef Campbell M, Fitzpatrick R, Haines A, Kinmonth AL, Sandercock P, Spiegelhalter D, et al. Framework for design and evaluation of complex interventions to improve health. BMJ. 2000;321:694–6.CrossRef
48.
go back to reference Patton G, Bond L, Butler H, Glover S. Changing schools, changing health? Design and implementation of the Gatehouse Project. J Adolesc Health. 2003;33:231–9.CrossRef Patton G, Bond L, Butler H, Glover S. Changing schools, changing health? Design and implementation of the Gatehouse Project. J Adolesc Health. 2003;33:231–9.CrossRef
49.
go back to reference Patton GC, Bond L, Carlin JB, Thomas L, Butler H, Glover S, et al. Promoting social inclusion in schools: a group-randomized trial of effects on student health risk behavior and well-being. Am J Public Health. 2006;96:1582–7.CrossRef Patton GC, Bond L, Carlin JB, Thomas L, Butler H, Glover S, et al. Promoting social inclusion in schools: a group-randomized trial of effects on student health risk behavior and well-being. Am J Public Health. 2006;96:1582–7.CrossRef
50.
go back to reference Merton RK. On theoretical sociology: five essays, old and new; 1967. Merton RK. On theoretical sociology: five essays, old and new; 1967.
51.
go back to reference Katikireddi SV, Higgins M, Bond L, Bonell C, Macintyre S. How evidence based is English public health policy? BMJ. 2011;343:d7310.CrossRef Katikireddi SV, Higgins M, Bond L, Bonell C, Macintyre S. How evidence based is English public health policy? BMJ. 2011;343:d7310.CrossRef
52.
go back to reference Oliver KA, de Vocht F, Money A, Everett M. Identifying public health policymakers’ sources of information: comparing survey and network analyses. Eur J Pub Health. 2017;27:118–23. Oliver KA, de Vocht F, Money A, Everett M. Identifying public health policymakers’ sources of information: comparing survey and network analyses. Eur J Pub Health. 2017;27:118–23.
53.
go back to reference Atkins L, Kelly MP, Littleford C, Leng G, Michie S. Reversing the pipeline? Implementing public health evidence-based guidance in english local government. Implement Sci. 2017;12:63.CrossRef Atkins L, Kelly MP, Littleford C, Leng G, Michie S. Reversing the pipeline? Implementing public health evidence-based guidance in english local government. Implement Sci. 2017;12:63.CrossRef
54.
go back to reference Kelly MP, Atkins L, Littleford C, Leng G, Michie S. Evidence-based medicine meets democracy: the role of evidence-based public health guidelines in local government. J Public Health (Oxf). 2017;39:678–84.CrossRef Kelly MP, Atkins L, Littleford C, Leng G, Michie S. Evidence-based medicine meets democracy: the role of evidence-based public health guidelines in local government. J Public Health (Oxf). 2017;39:678–84.CrossRef
55.
go back to reference McGill E, Egan M, Petticrew M, Mountford L, Milton S, Whitehead M, et al. Trading quality for relevance: non-health decision-makers’ use of evidence on the social determinants of health. BMJ Open. 2015;5:e007053.CrossRef McGill E, Egan M, Petticrew M, Mountford L, Milton S, Whitehead M, et al. Trading quality for relevance: non-health decision-makers’ use of evidence on the social determinants of health. BMJ Open. 2015;5:e007053.CrossRef
56.
go back to reference Curtis LM, Burns A. Unit costs of health and social care 2015. Canterbury: University of Kent; 2015. Curtis LM, Burns A. Unit costs of health and social care 2015. Canterbury: University of Kent; 2015.
Metadata
Title
Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective
Authors
John A. Ford
Andy P. Jones
Geoff Wong
Garry Barton
Allan Clark
Erika Sims
Ann Marie Swart
Nick Steel
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Care
Published in
Trials / Issue 1/2019
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-019-3299-2

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