| Literature DB >> 30541632 |
Malin Knutsen Glette1,2, Olav Røise3,4,5, Tone Kringeland6, Kate Churruca7, Jeffrey Braithwaite7, Siri Wiig4.
Abstract
BACKGROUND: Thirty-day hospital readmissions represent an international challenge leading to increased prevalence of adverse events, reduced quality of care and pressure on healthcare service's resources and finances. There is a need for a broader understanding of hospital readmissions, how they manifest, and how resources in the primary healthcare service may affect hospital readmissions. The aim of the study was to examine how nurses and nursing home leaders experienced the resource situation, staffing and competence level in municipal healthcare services, and if and how they experienced these factors to influence hospital readmissions.Entities:
Keywords: Financial resources; Hospital readmissions; Nurse competence; Nurse staffing; Patient safety
Mesh:
Year: 2018 PMID: 30541632 PMCID: PMC6292004 DOI: 10.1186/s12913-018-3769-3
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Hospital readmission rates in municipality A and B
Fig. 2simplified model of the Norwegian health system based on Ringard et al. [43]
Overview of staffing-to-patient ratio
| Nursing home | Nurse to Patient ratio | Certified Nurse assistant to Patient ratio | Assistant to Patient ratio | Total healthcare worker to patient ratio | |
|---|---|---|---|---|---|
| Municipality A | Short-term | 1.09:1 | 0.42:1 | 0.18:1 | 1.69:1 |
| Long-term | 0.45:1 | 0.96:1 | 0.12:1 | 1.54:1 | |
| Municipality B | Short-term | 1.18:1 | 0.56:1 | 0.61:1 | 2.36:1 |
| Long-term | 0.46:1 | 0.79:1 | 0.52:1 | 1.82:1 |
Organization and structure of included nursing homes
| Municipality A | Municipality B | |||
|---|---|---|---|---|
| Nursing home | Short-term | Long-term | Short-term | Long-term |
| Beds | 33 | 31 | 60 | 69 |
| Wards | Palliative care, Municipal emergency bed units (MEBU), Hospital emergency bed units (HEBU), short term placements | Dementia and somatic wards | Palliative care, Municipal emergency bed units (MEBU), Hospital emergency bed units (HEBU), short term placements, rehabilitation | Dementia, somatic wards, short term bed |
| Total nursing homes in the municipalities | 7 | 5 | ||
Content analysis, within analysis, municipality A and B. Theme 1
| Theme | Sub-themes | Category | Sub-category |
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| T1: High nursing demands – variation in staffing and competence | Disparity in staffing and competence (Municipality A) | Tired nurses (NLT) |
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| Complex patients (NLT) |
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| Insufficient staffing (LLT + NLT) |
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| Acceptable staffing (LST) |
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| Unpredictable staffing (NST) |
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| Varying competence (LLT) |
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| Sufficient competence (LST) |
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| High competence (NST) |
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| Capacity building in focus (NLT) |
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| Reasonable staffing and competence (Municipality B) | Satisfactory staffing (LST) |
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| Acceptable staffing (LLT, NLT) |
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| Sufficient competence (LLT) |
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| Satisfactory competence and staffing (NST) |
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| Varying competence (LST |
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| Capacity building in focus (LST, NLT) |
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| Internally organized capacity building (NST) |
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| Complex patients (LLT, NLT) |
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Overview of identified themes
| Common Themes | T1: High nursing demands – variation in staffing and competence | T2: Disparate Perceptions of Organizational Conditions | T3: Economic limitations | T4: Perceived Predictors of hospital readmissions | ||||
| Sub-Themes | ST1: Disparity in staffing and competence (Municipality A) | ST1: Reasonable staffing and competence (Municipality B) | ST2: Organizational challenges on several levels (Municipality A) | ST2: Well-functioning organization on macro levels, challenges on micro levels (Municipality B) | ST3: Economic limitations do not affect access to medical equipment (A) | ST3: Opposing thoughts on economic limitations (Municipality B) | ST4: Predictors of hospital readmissions as perceived by nurses and leaders (Municipality A) | ST4: Predictors of hospital readmissions as perceived by nurses and leaders (Municipality B) |
Fig. 3Integrated model to understand factors contributing in affecting hospital readmission rates