Quality of care and the quality of life in care homes
Notice bibliographique
Résumé
Netten et al. asked whether, in England, a relationship existed between quality of life in care homes and a now-discarded ‘star’ rating used by the regulator [1]. They found both ‘yes’ and ‘no’ answers, the ‘yes’ relating to residential care and the ‘no’ to nursing. The regulator for England, then the Commission for Social Care Inspection (CSCI), introduced Quality Ratings in 2008. Regulation of care homes now considers 28 domains, of which 16 are deemed core standards [2]. They are grouped in six areas: involvement and information; personalised care, treatment and support; safeguarding and safety; staffing; quality and management and suitability of management. All are, essentially, measures of processes, although they are described as ‘outcomes’. For example, the standards require that homes provide a choice of suitable and nutritious food and support to enable eating and drinking (‘outcome’ 5), rather than a resident-based experience. As a result, it is possible that although a regulator's report could comment favourably on the engagement of staff and general happiness of the residents, the home could be rated poorly because of deficits in process such as the recording of administration of medicines. It is easy to see how such regulation could potentially focus on compliance with processes rather than on resident contentment. Initially, the Quality Ratings were: no stars (poor), one star (adequate), two stars (good) and three stars (excellent). After a year's experience, the regulator concluded that the Quality Ratings had a strong impact on the commissioning of care services for people in their community and that they were an effective lever for improving both the quality of services and the outcomes for people who use them [3]. Within 2 years, with a change to the regulatory framework, under the Care Quality Commission, a dramatic improvement occurred and over 80% of homes were reported good or excellent (unpublished analysis by Bupa). It is likely that the dramatic improvement in star ratings was that providers had understood how to satisfy the measurement metrics. It is not so clear whether the changes represented substantial progress in the quality of care as experienced by individuals. This explains why the question posed by Netten et al. is important: the Quality Ratings were about the process of care, but did they reflect the outcome of care? Despite these concerns, the paper by Netten et al. suggests that measures of care process such as star ratings can act as crude proxies for care outcomes for the residents of residential homes, but not for nursing homes. For nursing homes, it could be that the measures of process were too ‘social’ for people whose needs are driven by disease, disability and frailty: it is increasingly clear that the residents of care homes, particularly nursing homes, are increasingly in these categories [4]. Clinical markers for good care used in hospital care by the Department of Health, the ‘Essence of Care’ benchmarks [5], specifically include continence, pain, skin care and communication, which do not specifically feature in the regulator's standards. The same argument may be true for assessments of quality of life: social-care-based assessments may be insensitive to the effects of health conditions. Given the similarity between nursing home populations and hospitals, a less social model of regulation and expectation should be considered with a greater focus on outcomes. Possible ways forward for quality assurance away from process might include the development of a range of patient-reported outcome measures (PROM) or other direct measures of satisfaction. Another way forward is benchmarked care between institutions [6], which would be all the more valuable if adjusted for case mix. The presumption of a social model for care homes may also explain the inconsistency of health care provision, as highlighted in the British Geriatrics Society's ‘Quest for Quality’ [7] and Failing the Frail: A Chaotic Approach to Commissioning Healthcare Services for Care Homes [8]. If care homes are assumed to be social institutions, it is easy to assume that their health care needs are more similar to those of a hotel than those of a hospital. It is surely necessary to regulate the adequacy of health care provision to care homes, especially nursing homes. Therefore, we could see the routine application of health care delivering comprehensive geriatric assessment to nursing home residents and, given the size of the sector, the emergence of a new discipline of nursing home medicine in the UK!
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,033 | 0,023 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».