Profiling patients’ healthcare needs to support integrated, person-centered models for long-term disease management (Profile): Research design

International Journal of Integrated Care

Volumn 16, Issue 2, 2016, Pages

  Elissen, Arianne M J ^a   Hertroijs, Dorijn F L ^a   Schaper, Nicolaas C ^a   Vrijhoef, Hubertus J M ^b,c   Ruwaard, Dirk ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^c NATIONAL UNIVERSITY HEALTH SYSTEM   (Singapore)

Author keywords

Disease management; Patient profiles; Study design; Tailored care; Triple Aim; Type 2 diabetes

Indexed keywords

EID: 84973293534     PISSN: None     EISSN: 15684156     Source Type: Journal    
DOI: 10.5334/ijic.2208     Document Type: Article

References (57)

1. Economist Intelligence Unit. The future of healthcare in Europe [cited 2015 Mar 18]. Available from http://www.janssen.pt/sites/default/files/The-Future-Of-Healthcare-In-Europe.pdf (2011).
2. European Commission: DG Health & Consumers. European Core Health Indicators (ECHI). Self-reported chronic morbidity. Proportion of people aged 65+ reporting any long-standing chronic illness or longstanding health problem, 2013 [cited 2015 Mar 18]. Available from http://ec.europa.eu/health/indicators/echi/list/ (2011).
3. International Diabetes Federation. IDF Diabetes Atlas, 6th edn. Brussels: International Diabetes Federation; 2013.
4. Nolte, E, Knai, C and Saltman, RB (eds). Assessing chronic disease management in European Health Systems: concepts and approaches. Brussels: European Observatory on Health Systems and Policies; 2015.
5. Drewes, HW, Steuten, LMG, Lemmens, LC, Baan, CA, Boshuizen, H, Elissen, AMJ, et al. The effectiveness of chronic care management for heart failure: a systematic review and meta-regression analysis to explain the heterogeneity in outcomes. Health Services Research. 2012; 47(5): 1926–59. DOI: http://dx.doi.org/10.1111/j.1475-6773.2012.01396.x
6. Meeuwissen, JAC, Lemmens, LC, Drewes, HW, Lemmens, KMM, Steuten, LMG, Elissen, AMJ, et al. Meta-analysis and meta-regression analyses explaining heterogeneity in outcomes of chronic care management for depression. International Journal of Person Centered Medicine. 2012; 2(4): 716–58.
7. Elissen, AMJ, Steuten, LMG, Lemmens, LC, Drewes, HW, Lemmens, KMM, Meeuwissen, JAC, et al, Meta-analysis of the effectiveness of chronic care management for diabetes: investigating heterogeneity in outcomes. Journal of Evaluation in Clinical Practice. 2013; 19(5): 753–62.
8. Lemmens, KMM, Lemmens, LC, Boom, JHC, Drewes, HW, Meeuwissen, JAC and Steuten, LMG. Chronic care management for patients with COPD: A critical review of available evidence. Journal of Evaluation in Clinical Practice. 2013; 19(5): 734–52.
9. Van Bussel, B, Pijpers, E, Ferreira, I, Castermans, P and Nieuwenhuijzen Kruseman, A. Polymorbidity in diabetes in older people: consequences for care and vocational training. Postgraduate Medical Journal. 2007; 83: 763–67. DOI: http://dx.doi.org/10.1136/pgmj.2007.062356
10. Inzucchi, SE, Bergenstal, RM, Buse, JB, Diamant, M, Ferrannini, E, Nauck, M, et al. Management of hyperglycemia in type 2 diabetes: a patient-centered approach. Diabetes Care. 2012; 35: 1364–79. DOI: http://dx.doi.org/10.2337/dc12-0413
11. Elissen, A, Nolte, E, Knai, C, Brunn, M, Chevreul, K, Conklin, A, et al. Is Europe putting theory into practice? A qualitative study of the level of self-management support in chronic care management approaches. BMC Health Services Research. 2013; 13: 117. DOI: http://dx.doi. org/10.1186/1472-6963-13-117
12. European Union Health Policy Forum. Answer to DG SANCO consultation on chronic diseases [cited 2015 Mar 19]. Available from http://ec.europa.eu/health/interest_groups/docs/euhpf_answer_consultation_jan2012_en.pdf (2012).
13. Riddle, MC and Karl, DM. Individualizing targets and tactics for high-risk patients with type 2 diabetes. Practical lessons from ACCORD and other cardiovascular trials. Diabetes Care. 2012; 35: 2100–07. DOI: http://dx.doi.org/10.2337/dc12-0650
14. Rothe, U, Müller, G, Schwarz, PEH, Seifert, M, Kunath, H, Koch, R, et al. Evaluation of a diabetes management system based on practice guidelines, integrated care, and continuous quality management in a Federal State of Germany. A population-based approach to health care research. Diabetes Care. 2008; 31(5): 863–868. DOI: http://dx.doi. org/10.2337/dc07-0858
15. Elissen, AMJ, Duimel-Peeters, IGP, Spreeuwenberg, C, Spreeuwenberg, M and Vrijhoef, HJM. Toward tailored disease management for type 2 diabetes. American Journal of Managed Care. 2012; 18(10): 619–30.
16. Schram, MT, Sep, SJ, Van der Kallen, CJ, Dagnelie, PC, Koster, A, Schaper, N, et al. The Maastricht Study: an extensive phenotyping study on determinants of type 2 diabetes, its complications and its comorbidities. European Journal of Epidemiology. 2014; 29: 439–51. DOI: http://dx.doi.org/10.1007/s10654-014-9889-0
17. Ministry of Health, Welfare and Sports. Opting for a healthy life. Public health policy in the Netherlands, 2007–2010. The Hague: Ministry of Health, Welfare and Sports; 2006.
18. Wensing, M, Koetsenruijter, J, Rogers, A, Portillo, MC and Van Lieshout, J. Emerging trends in diabetes care practice and policy in the Netherlands: a key informants study. BMC Research Notes. 2014; 7: 693. DOI: http://dx.doi.org/10.1186/1756-0500-7-693
19. Struijs, JN, De Jong-Van Til, JT, Lemmens, LC, Drewes, HW, De Bruin, SR and Baan, CA. Three years of bundled payment for diabetes care in the Netherlands. Bilthoven: National Institute for Public Health and the Environment (RIVM); 2012
20. Cebolla Garrofé, B, Björnberg, A and Yung Phang, A. Euro Diabetes Index 2014. Täby: Health Consumer Powerhouse Ltd; 2014.
21. Campmans-Kuijpers, MJ, Baan, CA, Lemmens, LC and Rutten, GE. Diabetes quality management in Dutch care groups and outpatient clinics: a cross-sectional study. BMC Research Notes. 2014; 7: 497. DOI: http://dx.doi.org/10.1186/1756-0500-7-497
22. Sluiter, AC, Van Wijland, JJ, Arntzenius, AB, Bots, AFE, Dijkhorst-Oei, LT, Van der Does, FEE, Palmen, JVH, van Loon, BJ P, Schaper, NC and Van Balen, JAM. Landelijke transmurale afspraak diabetes mellitus type 2 [Dutch transmural agreement on Diabetes mellitus type 2]. Huisarts Wet. 2012; 55: 1–12 [In Dutch].
23. Ham, C. The ten characteristics of the high-performing chronic care system. Health Economics, Policy and Law. 2010, 5: 71–90. DOI: http://dx.doi.org/10.1017/S1744133109990120
24. McClellan, M, McKethan, AN, Lewis, JL, Roski, J and Fisher, ES. A national strategy to put accountable care into practice. Health Aff (Millwood). 2010; 29(5): 982–90. DOI: http://dx.doi.org/10.1377/ hlthaff.2010.0194
25. Naylor, C, Curry, N, Holder, H, Ross, S, Marshall, L and Tait, E. Clinical commissioning groups. Supporting improvement in general practice? London: The King’s Fund and Nuffield Trust; 2013.
26. De Jong-Van Til, JT, Lemmens, LC, Baan, CA and Struijs, JN. The organisation of care groups in 2011. Current state and recent developments. Bilthoven: National Institute for Public Health and the Environment (RIVM); 2012.
27. Netherlands Diabetes Federation: NDF Care Standard. Transparency and quality of diabetes care for people with type 2 diabetes. Amersfoort: Netherlands Diabetes Federation; 2007.
28. Liu, C, Sales, AE, Sharp, ND, Fishman, P, Sloan, KL, Todd-Stenberg, J, et al. Case-mix adjusting performance measures in a veteran population: pharmacy-and diagnosis-based approaches. Health Services Research. 2003; 38(5): 1319–38. DOI: http://dx.doi.org/10.1111/1475-6773.00179
29. Huntley, AL, Johnson, R, Purdy, S, Valderas, JM and Salisbury, C. Measures of multimorbidity and morbidity burden for use in primary care and community settings: a systematic review and guide. The Annals of Family Medicine 2012; 10(2): 134–41. DOI: http://dx.doi.org/10.1370/afm.1363
30. Care Continuum Alliance. Implementation and Evaluation: A Population Health Guide for Primary Care Models. Washington, DC: Care Continuum Alliance; 2012.
31. Wagner, EH, Austin, BT, Davis, C, Hindmarsh, M, Schaefer, J and Bonomi, A. Improving chronic illness care: translating evidence into action. Health Affairs (Millwood). 2001; 20(6): 64–78. DOI: http:// dx.doi.org/10.1377/hlthaff.20.6.64
32. Nagin, DS and Odgers, CL. Group-based trajectory modeling in clinical research. Annual Review of Clinical Psychology. 2010; 6: 109–38. DOI: http://dx.doi.org/10.1146/annurev.clinpsy.121208.131413
33. Muthén, B and Muthén, LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol: Clinical and Experimental Research. 2000; 24(6): 882–91. DOI: http://dx.doi.org/10.1111/j.1530-0277.2000.tb02070.x
34. Drewes, HW, Heijink, R, Struijs, JN and Baan, CA. National monitor population management. Part 1: Description pioneer sites. Bilthoven: National Institute for Public Health and the Environment; 2014.
35. Köhler, S, Hamel, R, Sistermans, N, Koene, T, Pijnenburg, Y, Van der Flier, WM, et al. Progression to dementia in memory clinic patients without dementia. A latent profile analysis. Neurology. 2013; 81: 1342–49. DOI: http://dx.doi.org/10.1212/WNL.0b013e3182a82536
36. Masyn, KE. Latent class analysis and finite mixture modeling. In Little, TD (Ed.), The Oxford Handbook of Quantitative Methods in Psychology. Volume 2: Statistical Analysis. New York, NY: Oxford University Press. 2013; p. 551–611. DOI: http://dx.doi.org/10.1093/oxfordhb/9780199934898.013.0025
37. Fitch, K, Bernstein, S, Aguilar, MD, Burnand, B, LaCalle, JR, Lazaro, P, et al. The RAND/UCLA Appropriateness Method User’s Manual. Santa Monica, CA: RAND; 2001.
38. Polonsky, WH, Anderson, BA, Lohrer, PA, Welch, GW and Jacobson, AM. Assessment of diabetes-related emotional distress. Diabetes Care. 1995; 18: 754–60. DOI: http://dx.doi.org/10.2337/diacare.18.6.754
39. Cocozza Martins, D. Experiences of homeless people in the health care delivery system: a descriptive phenomenological study. Public Health Nursing. 2008; 25(5): 420–30. DOI: http://dx.doi.org/10.1111/j.1525-1446.2008.00726.x
40. Hycner, RH. Some guidelines for the phenomenological analysis of interview data. Human Studies. 1985; 8: 279–303. DOI: http://dx.doi.org/10.1007/ BF00142995
41. Department of Public Health Status and Forecasting. Dutch National Atlas of Public Health. Bilthoven: National Institute for Public Health and the Environment; 2014.
42. Lancsar, E and Louviere, J. Conducting discrete choice experiments to inform healthcare decision making: a user’s guide. Pharmacoeconomics. 2008; 26(8): 661–77. DOI: http://dx.doi.org/10.2165/00019053-200826080-00004
43. Hiligsmann, M, Van Durme, C, Geusens, P, Dellaert, BGC, Dirksen, CD, Van der Weijden, T, et al: Nominal group technique to select attributes for discrete choice experiments: an example for drug treatment choice in osteoporosis. Journal of Patient Preference and Adherence. 2013; 7: 133–39. DOI: http://dx.doi.org/10.2147/PPA.S38408
44. Glasgow, RE, Wagner, EH, Schaefer, J, Mahoney, LD, Reid, RJ and Greene, SM. Development and validation of the patient assessment of Chronic Illness Care (PACIC). Medical Care. 2005; 43(5): 436–44. DOI: http://dx.doi.org/10.1097/01.mlr.0000160375.47920.8c
45. Vrijhoef, HJM, Berbee, R, Wagner, EH and Steuten, LMG. Quality of integrated chronic care measured by patient survey: identification, selection and application of most appropriate instruments. Health Expectations. 2009; 12: 417–29. DOI: http://dx.doi.org/10.1111/j.1369-7625.2009.00557.x
46. Pearmain, D, Swanson, J, Kroes, E and Bradley, M. Stated preference techniques: a guide to practice. The Hague: Steer Davis Gleave and Hague Consulting Group; 1991.
47. Bridges, JF, Hauber, AB, Marshall, D, Lloyd, A, Prosser, LA, Regier, DA, et al. Conjoint analysis applications in health – a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health. 2011; 14(4): 403–13. DOI: http://dx.doi.org/10.1016/j.jval.2010.11.013
48. Nolte, E and Hinrichs, S (eds.). DISMEVAL. Developing and validating disease management evaluation methods for European healthcare systems. Cambridge, UK: RAND Europe; 2012.
49. Elissen, AMJ, Duimel-Peeters, IGP, Spreeuwenberg, C and Vrijhoef, HJM. Evaluation of disease management in the Netherlands. In Nolte, E and Hinrichs, S (Eds.), DISMEVAL. Developing and validating disease management evaluation methods for European healthcare systems. Cambridge, UK: RAND Europe. 2012; p. 99–112.
50. Hart, WL. Mass customization: conceptual underpinnings, opportunities and limits. International Journal of Service Industry Management. 1995; 6(2): 36–45. DOI: http://dx.doi.org/10.1108/09564239510084932
51. Berwick, DM, Nolan, TW and Whittington, J. The triple aim: care, health and cost. Health Affairs (Millwood). 2008; 27(3): 759–69. DOI: http://dx.doi. org/10.1377/hlthaff.27.3.759
52. Elissen, AMJ, Struijs, JN, Baan CA and Ruwaard, D. Estimating community health needs against a Triple Aim background: what can we learn from current predictive risk models? Health Policy. 2014. DOI: http://dx.doi.org/10.1016/ j.healthpol.2014.12.007
53. Berwick, DM. The science of improvement. Journal of the American Medical Association. 2008; 299(10): 1182–4. DOI: http://dx.doi.org/10.1001/jama.299.10.1182
54. Ceriello, A, Gallo, M, Armentano, V, Perriello, G, Gentile, S, De Micheli, A, et al: Personalizing treatment in type 2 diabetes: a self-monitoring of blood glucose inclusive innovative approach. Diabetes Technology and Therapeutics. 2012; 14(4): 373–8. DOI: http://dx.doi.org/10.1089/ dia.2011.0233
55. Walraven, I, Mast, MR, Hoekstra, T, Janssen, APD, Van der Heijden, AA, Rauh, SP, et al: Distinct HbA1c trajectories in a type 2 diabetes cohort. Acta Diabetologica. 2014, DOI: http://dx.doi.org/10.1007/s00592-014-0633
56. World Health Organization. Adherence to long-term therapies. Evidence for action. Geneva: World Health Organization; 2003.
57. Nolte, E, Knai, C, Hofmarcher, M, Conklin, A, Erler, A, Elissen, A, et al: Overcoming fragmentation in health care: chronic care in Austria, Germany and the Netherlands. Health Economics Policy and Law. 2010; 7: 125–46. DOI: http://dx.doi.org/10.1017/S1744133111000338