| Literature DB >> 31289067 |
Andrew Wilson1, Richard Baker1, John Bankart1, Jay Banerjee2, Ran Bhamra3, Simon Conroy1, Stoyan Kurtev1, Kay Phelps1, Emma Regen1, Stephen Rogers1, Justin Waring4.
Abstract
AIM: To examine system characteristics associated with variations in unplanned admission rates in those aged 85+.Entities:
Keywords: health systems; mixed methods; older people; unplanned admissions
Year: 2019 PMID: 31289067 PMCID: PMC6615796 DOI: 10.1136/bmjopen-2018-026405
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The McKinsey 7S framework and how it was applied. Strategy: the plan of activity for the whole system, and alignment of the system to its goals. Structure: how different components of the system related to each other. Systems: individual services contributing to the whole system. Shared values: the norms and standards that guide the behaviour of the human elements within the system. Style: the style of management used by the system leadership. Staff: training, motivation and rewards of the staff. Skills: specific skills existing and required by staff in order to best execute their duties.
Selection of improving (I) and deteriorating (D) primary care trusts (PCT)
| PCT | 85+ admission rate (number of admissions/100 population aged 85+) | Slope (per annum change) | % change in rate | % admissions to linked hospital trust | % aged 85+ | Reference in paper | ||
| Rank for slope (n=143) | ||||||||
| 2007/08 | 2008/09 | 2009/10 | ||||||
| 4 | 0.55 | 0.51 | 0.51 | −0.02 | −7.3 | 89 | 2.6 | I1 |
| 5 | 0.61 | 0.6 | 0.57 | −0.02 | −6.6 | 87 | 2.6 | I3 |
| 9 | 0.41 | 0.41 | 0.39 | −0.01 | −4.9 | 83 | 2.2 | I2 |
| 132 | 0.48 | 0.54 | 0.59 | 0.06 | 22.9 | 92 | 2.2 | D1 |
| 133 | 0.41 | 0.45 | 0.52 | 0.06 | 26.8 | 87 | 1.7 | D3 |
| 135 | 0.49 | 0.59 | 0.61 | 0.06 | 25.5 | 83 | 1.8 | D2 |
Changes in admission rates for patients aged 85+, and rates of admission for acute and chronic ambulatory care sensitive conditions (ACSC) in improving and deteriorating sites
| I1 | I2 | I3 | D1 | D2 | D3 | Improving sites average | Deteriorating sites average | |
| 85+ admissions/100 aged 85+ per annum | ||||||||
| 2007/2008 | 0.47 | 0.41 | 0.57 | 0.48 | 0.49 | 0.40 | 0.48 | 0.46 |
| 2008/2009 | 0.51 | 0.42 | 0.6 | 0.55 | 0.59 | 0.45 | 0.51 | 0.53 |
| 2009/2010 | 0.51 | 0.40 | 0.58 | 0.60 | 0.61 | 0.53 | 0.50 | 0.58 |
| 2010/2011 | 0.54 | 0.39 | 0.58 | 0.60 | 0.56 | 0.48 | 0.50 | 0.55 |
| 2011/2012 | 0.52 | 0.40 | 0.58 | 0.62 | 0.57 | 0.49 | 0.50 | 0.56 |
| % change between 2007/2008 and 2011/2012 | 10.64 | −2.44 | 1.75 | 29.17 | 16.33 | 22.50 | 3.32 | 22.67 |
| Linear regression slope (per annum change in rate) | 0.013 | −0.005 | 0 | 0.033 | 0.013 | 0.020 | 0.003 | 0.022 |
| Acute ACSC all ages. Indirectly age and sex standardised rate per 100 000 | ||||||||
| 2007/2008 | 424 | 579 | 462 | 367 | 397 | 619 | 488 | 461 |
| 2008/2009 | 515 | 591 | 347 | 388 | 461 | 699 | 484 | 516 |
| 2009/2010 | 350 | 627 | 387 | 449 | 416 | 785 | 455 | 550 |
| % change between 2007/2008 and 2009/2010 | −17.45 | 8.29 | −16.23 | 22.34 | 4.79 | 26.82 | −8.46 | 17.98 |
| Linear regression slope (per annum change in rate) | −37 | 24 | −37.5 | 41 | 9.5 | 83 | −16.83 | 44.50 |
| Chronic ACSC all ages. Indirectly age and sex standardised rate per 100 000 | ||||||||
| 07/08 | 220 | 240 | 148 | 188 | 177 | 247 | 203 | 204 |
| 08/09 | 276 | 247 | 104 | 212 | 177 | 265 | 209 | 218 |
| 09/10 | 210 | 241 | 137 | 218 | 152 | 249 | 196 | 206 |
| % change between 2007/2008 and 2009/2010 | −4.55 | 0.42 | −7.43 | 15.96 | −14.12 | 0.81 | −3.85 | 0.88 |
| Linear regression slope (per annum change in rate) | -5 | 0.5 | −5.5 | 15 | −12.5 | 1 | −3.33 | 1.17 |
*Averages derived from rows not columns.
Description of sites and informants by organisational category
| Sites | Description | Participants | Total | |||||||||
| ONS classification | Ranking of population size (151 PCTs, 1=largest) | N (%) aged 85+ | Deprivation rank | Acute provision | Acute Trust | PCT/CCG | Community services | Social services | PPI | |||
| I1 | Major city | Regional centre | 85 | 6527 (2.6) | 56 | One university hospital, one district general hospital | declined | 2 | 13 (seven individual, two focus groups (n=2 and 4)) | Declined | 15 | |
| I2 | Largely rural area comprising three small to medium-sized towns. | Manufacturing town | 139 | 3546 (2.6) | 40 | Three district general hospitals | 6 | 6 | 16 (seven individual, two focus groups (n=9)) | Focus group (n=5) | 33 | |
| I3 | Semirural and urban conurbation in close proximity to metropolitan area. | Industrial hinterlands | 42 | 7970 (2.2) | 50 | Two district general hospitals | 5 | 3 | 24 (four individual, three focus groups (n=6,6,8)) | 2 | Focus group (n=9) | 43 |
| D1 | Major city | Centre with industry | 56 | 6667 (2.2) | 43 | One large acute hospital | 7 | 3 | 3 | 2 | Focus group (n=5) | 20 |
| D2 | Three small to medium-sized towns | Centre with industry | 120 | 3703 (1.7) | 22 | Four district general hospitals | 10 | 3 | 2 | 4 | Focus group (n=5) | 24 |
| D3 | Mixed urban and rural area | New and growing town | 118 | 3463 (1.8) | 119 | One large acute hospital | 2 | 3 | Declined | 1 | 1 | 7 |
| Total | 30 | 20 | 58 | 9 | 25 | 142 | ||||||
Features of sites by McKinsey 7S categories
| 7S | |||||||
| Strategy | Structure | Systems | Shared values | Skills | Style | Staff | |
| I1 | High levels of investment in community provision. | Strong linkages between hospital, GP and community care | Innovative cross-sectoral technology systems | Professionals willing to work together and bend hierarchies to reach shared goals | Staff have perseverance and skills to see through projects and get people on board | Regular contacts between hospital and community providers | Effective multidisciplinary teams in intermediate care |
| I2 | Care trust developed strategy across social and community health services | Integrated budget for commissioning health and social care | Focus on practice-based commissioning providing incentives for GPs to reduce admissions | Strong and stable organisational cohesion | High levels of interpersonal skills enable effective working relationships | Close links between GPs and other service providers | Longstanding and close working relationships |
| I3 | Urgent care a top strategic priority | Lack of boundary issues helps maintain a clear structure, with small number of providers | Out of hours run by through community trust | Strong organisational cohesion | High levels of skills in community teams | Some ‘blame culture’ when services are pressurised | |
| D1 | Frequent changes in leadership roles and regional strategies | Complex structures for health community care | Perception that GPs were demotivated | Historically poor relationship between trusts and community providers | Perception that care home staff are underskilled | Culture of admission from ED as default option | Recognised shortage of geriatricians |
| D2 | Lack of clear strategy on unplanned admissions; more focus on reducing length of stay than admission avoidance | Poor integration between primary and secondary care, and between ambulance services and acute trust | Frequent restructuring of intermediate care | Lack of shared culture between organisations | Recognised need for skilled geriatricians in acute medical unit | Recent focus on clinical leadership | Lack of senior medical staff in ED |
| D3 | More focus on elective care than urgent care | Frequent changes in structure of system, including hospital sites and structure of intermediate care | Low investment in primary care | Conflict between medical, rehabilitation and managerial values | Perception that insufficient staff have skills needed to assess frail elderly | Recent focus on clinical leadership | Inadequate provision of community matrons |