| Literature DB >> 25230774 |
Monica Elisabeth Nyström1, Helena Strehlenert, Johan Hansson, Henna Hasson.
Abstract
BACKGROUND: Large-scale change initiatives stimulating change in several organizational systems in the health and social care sector are challenging both to lead and evaluate. There is a lack of systematic research that can enrich our understanding of strategies to facilitate large system transformations in this sector. The purpose of this study was to examine the characteristics of core activities and strategies to facilitate implementation and change of a national program aimed at improving life for the most ill elderly people in Sweden. The program outcomes were also addressed to assess the impact of these strategies.Entities:
Mesh:
Year: 2014 PMID: 25230774 PMCID: PMC4177071 DOI: 10.1186/1472-6963-14-401
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Figure 1A model over factors influencing Large Scale Transformation initiatives in healthcare. Adapted from the model over large scale improvement initiatives by Perla et al. [15].
Figure 2Overview of the BeLife program.
Figure 3Strategies used by the Be-Life program management to facilitate implementation, change and sustainability.
Be-Life program outcomes: preventive, palliative and dementia care 2009-2013
| Senior alert registry | 2009 n (%) | 2010 n (%) | 2011 n (%) | 2012 n (%) | 2013 n (%) |
|---|---|---|---|---|---|
| Municipalities listed in the registry (total N = 290) | 7 (2) | 196 (68) | 261 (90) | 280 (97) | 284 (98) |
| County councils listed in the registry (total N = 21) | 8 (38) | 14 (67) | 19 (90) | 21 (100) | 21 (100) |
| Municipalities with registered risk assessments for 90% of patients in special housing units for elderly people | 73 (25) | 129 (44) | |||
| Risk assessments - Total no of registrations | 13 415 | 48 267 (+260) | 151 787 (+214) | 247 017 (+63) | 256 129 (+4) |
| Risk assessments - No of registrations on average per month | 1118 | 4022 (+260) | 12 649 (+214) | 20 585 (+63) | 23 284 (+4) |
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| Municipalities listed in the registry (N = 290) | 187 (64) | 276 (95) | 284 (98) | 289 (99) | 290 (100) |
| County councils listed in the registry (N = 21) | 20 (95) | 21 (100) | 21 (100) | 21 (100) | 21 (100) |
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| Municipalities that reached the goal level of ≥40% coverage | 221 (76) | ||||
| Municipalities ≥50% | 229 (79) | ||||
| Municipalities ≥70% | 174 (60) | 191(66) | |||
| County councils that reached the goal of ≥40% coverage | 17 (81) | ||||
| County councils - ≥50% | 18 (86) | ||||
| County councils - ≥70% | 15 (71) | 16 (76) | |||
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| Primary care units listed in the registry (N = 2009/1095, 2010/1181, 2011/1197, 2012/1172, 2013/1172) | 41 (4) | 40 (3) | 96 (8) | 658 (56) | 809 (70) |
| No of diagnostic work-ups performed in primary care | 1026 | 1716 (+67) | 2745 (+60) | 4283 (+56) | 3020 (−29) |
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| Municipalities listed in the registry (N = 290) | 3 (1) | 27 (9) | 206 (71) | 265 (91) | |
| No of registrations in the BPSD registry | 123 | 1138 (+825) | 7142 (+527) | 24 040 (+237) | |
| No of registered patients | 77 | 542 (+604) | 3894 (+618) | 11 613 (+198) |
Be-Life program outcomes: pharmacological treatment 2012-2013
| No and proportion of municipalities (N = 290) that reduced prescription April-August 2013 | ||||||||
|---|---|---|---|---|---|---|---|---|
| 0 months | 1 month | 2 months | 3 months | 4 months | 5 months | 6 months | ||
| Inappropriate medications | No | 0 | 2 | 3 | 13 | 19 | 42 | 211 |
| % | 0 | 0,7 | 1 | 4 | 7 | 14 | 73 | |
| Anti-inflammatory medications | No | 1 | 9 | 15 | 21 | 35 | 54 | 155 |
| % | 0,3 | 3 | 5 | 7 | 12 | 19 | 53 | |
| Antipsychotic medications | No | 49 | 29 | 27 | 38 | 28 | 56 | 63 |
| % | 17 | 10 | 9 | 13 | 10 | 19 | 22 | |
Number and proportion of municipalities that reduced the prescription of targeted medications during the measurement period April-August 2013 compared to April-August 2012.
Be-Life program outcomes: coordinated health and social care 2012-2013
| National level | Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avoidable care events | 2012 | 9 165 | 9 044 | 9 768 | 9 000 | 9 224 | 8 717 | 8 458 | 8 464 | 8 384 | 9 234 | 9 085 | 8 896 |
| 2013 | 9 737 | 8 569 | 9 268 | 9 608 | 9 321 | 8 113 | 8 399 | 7 982 | 8 204 | 9 201 | 8 492 | 8 206 | |
| Total care events with diagnosis | 2012 | 58 345 | 57 401 | 62 509 | 57 433 | 59 602 | 55 103 | 51 060 | 54 284 | 55 898 | 61 625 | 60 495 | 56 256 |
| 2013 | 61 177 | 55 395 | 59 627 | 60 359 | 60 566 | 52 665 | 51 450 | 51 911 | 55 616 | 61 461 | 56 650 | 52 035 | |
| Proportion of avoid-able inpatient care events (%) | 2012 | 15,7 | 15,8 | 15,6 | 15,7 | 15,5 | 15,8 | 16,6 | 15,6 | 15,0 | 15,0 | 15,0 | 15,8 |
| 2013 | 15,9 | 15,5 | 15,5 | 15,9 | 15,4 | 15,4 | 16,3 | 15,4 | 14,8 | 15,0 | 15,0 | 15,8 | |
| Readmissions day 1–30 - care events | 2012 | 10 194 | 10 033 | 11 058 | 10 300 | 11 001 | 10 298 | 10 177 | 9 955 | 9 640 | 10 992 | 10 830 | 10 366 |
| 2013 | 10 612 | 9 920 | 10 524 | 10 769 | 11 046 | 9 959 | 10 078 | 9 518 | 9 759 | 10 507 | 9 698 | 9 851 | |
| Total care events | 2012 | 60 979 | 59 483 | 64 619 | 59 779 | 62 064 | 57 208 | 53 042 | 55 999 | 58 019 | 63 635 | 62 940 | 58 729 |
| 2013 | 63 210 | 57 498 | 61 664 | 62 523 | 62 705 | 54 820 | 53 226 | 53 880 | 57 727 | 62 219 | 58 385 | 57 818 | |
| Proportion of read-missions day 1–30 (%) | 2012 | 16,7 | 16,9 | 17,1 | 17,2 | 17,7 | 18,0 | 19,2 | 17,8 | 16,6 | 17,3 | 17,2 | 17,7 |
| 2013 | 17,3 | 17,3 | 17,1 | 17,2 | 17,6 | 18,2 | 18,9 | 17,7 | 16,9 | 16,9 | 16,6 | 17,0 |