Exploration of understanding of impactibility analysis and application through workshops to inform model design for population health management policy: a qualitative assessment.

Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE

Original Publication: [London] : BMJ Publishing Group Ltd, 2011-

Health Policy* ; State Medicine* ; Qualitative Research*; Humans ; United Kingdom ; Population Health

Objectives: Assess understanding of impactibility modelling definitions, benefits, challenges and approaches.
Design: Qualitative assessment.
Setting: Two workshops were developed. Workshop 1 was to consider impactibility definitions and terminology through moderated open discussion, what the potential pros and cons might be, and what factors would be best to assess. In workshop 2, participants appraised five approaches to impactibility modelling identified in the literature.
Participants: National Health Service (NHS) analysts, policy-makers, academics and members of non-governmental think tank organisations identified through existing networks and via a general announcement on social media. Interested participants could enrol after signing informed consent.
Outcome Measures: Descriptive assessment of responses to gain understanding of the concept of impactibility (defining impactibility analysis), the benefits and challenges of using this type of modelling and most relevant approach to building an impactibility model for the NHS.
Results: 37 people attended 1 or 2 workshops in small groups (maximum 10 participants): 21 attended both workshops, 6 only workshop 1 and 10 only workshop 2. Discussions in workshop 1 illustrated that impactibility modelling is not clearly understood, with it generally being viewed as a cross-sectional way to identify patients rather than considering patients by iterative follow-up. Recurrent factors arising from workshop 2 were the shortage of benchmarks; incomplete access to/recording of primary care data and social factors (which were seen as important to understanding amenability to treatment); the need for outcome/action suggestions as well as providing the data and the risk of increasing healthcare inequality.
Conclusions: Understanding of impactibility modelling was poor among our workshop attendees, but it is an emerging concept for which few studies have been published. Implementation would require formal planning and training and should be performed by groups with expertise in the procurement and handling of the most relevant health-related real-world data.
Competing Interests: Competing interests: None declared.
(© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

BMJ Open. 2016 Feb 03;6(2):e009221. (PMID: 26842270)
BMJ. 2013 Aug 06;347:f4585. (PMID: 23920348)
BMJ Open. 2012 Aug 10;2(4):. (PMID: 22885591)
Am J Prev Med. 2016 Feb;50(2):129-35. (PMID: 26526164)
Popul Health Manag. 2020 Aug;23(4):319-325. (PMID: 31765282)
BMJ Open. 2021 Dec 20;11(12):e052455. (PMID: 34930736)
Popul Health Manag. 2015 Dec;18(6):402-11. (PMID: 25658872)
J R Soc Med. 2006 Aug;99(8):406-14. (PMID: 16893941)
Popul Health Manag. 2019 Dec;22(6):495-502. (PMID: 31013467)
Learn Health Syst. 2017 May 31;1(4):e10025. (PMID: 31245567)
Care Manag J. 2006 Fall;7(3):107-14. (PMID: 17214243)
Health Manag Technol. 2004 Jul;25(7):36, 38-9. (PMID: 15283511)
NPJ Digit Med. 2021 Mar 30;4(1):62. (PMID: 33785839)
Milbank Q. 2010 Jun;88(2):240-55. (PMID: 20579284)
BMC Health Serv Res. 2012 Jun 10;12:153. (PMID: 22682525)
BMC Med. 2019 Oct 25;17(1):192. (PMID: 31651317)
J Ambul Care Manage. 2016 Jul-Sep;39(3):186-98. (PMID: 27232680)
J Gen Intern Med. 2020 May;35(5):1484-1489. (PMID: 32141041)
Int J Equity Health. 2013 Aug 20;12:70. (PMID: 23962231)
BMJ. 2006 Aug 12;333(7563):327. (PMID: 16815882)
BMC Fam Pract. 2013 Oct 20;14:157. (PMID: 24138411)
J Ambul Care Manage. 2007 Jan-Mar;30(1):39-51. (PMID: 17170637)
J Clin Epidemiol. 2010 Jul;63(7):798-803. (PMID: 20004550)
Health Aff (Millwood). 2013 Apr;32(4):669-76. (PMID: 23569046)
J R Soc Med. 2020 Oct;113(10):383-388. (PMID: 32672131)
Am J Manag Care. 2011 May;17(5):345-52. (PMID: 21718082)
BMJ Open. 2013 Jan 02;3(1):. (PMID: 23288268)
BMC Public Health. 2020 Feb 17;20(1):240. (PMID: 32066407)
Popul Health Manag. 2018 Apr;21(2):102-109. (PMID: 28968176)
J Gen Intern Med. 2011 Jul;26(7):771-6. (PMID: 21399994)
AMIA Annu Symp Proc. 2018 Dec 05;2018:592-601. (PMID: 30815100)
Soc Sci Med. 2017 Jun;183:11-18. (PMID: 28445806)
Implement Sci. 2010 Sep 21;5:70. (PMID: 20858242)
JAMA Intern Med. 2013 Apr 22;173(8):632-8. (PMID: 23529115)
BMJ Qual Saf. 2017 Oct;26(10):782-785. (PMID: 28615343)
Front Med (Lausanne). 2019 Jul 31;6:149. (PMID: 31417905)
Am J Prev Med. 2010 Jun;38(6):600-9. (PMID: 20494236)
Science. 2019 Oct 25;366(6464):447-453. (PMID: 31649194)
BMJ. 2012 Jun 21;344:e3874. (PMID: 22723612)
Big Data. 2015 Jun;3(2):114-25. (PMID: 27447434)
Am J Manag Care. 2012 Apr 01;18(4):e155-61. (PMID: 22554041)

Keywords: health policy; organisational development; public health

Date Created: 20240522 Date Completed: 20240522 Latest Revision: 20240526

20240526

PMC11116867

10.1136/bmjopen-2022-067541

38777591