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Enregistrement W1986675124 · doi:10.1111/j.1365-2648.2006.04072_2.x

Evidence of nursing shortages or a shortage of evidence?

2006· editorial· en· W1986675124 sur OpenAlex

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Notice bibliographique

RevueJournal of Advanced Nursing · 2006
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueGlobal Health Workforce Issues
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEconomic shortageNursing shortageNursingPopulationHealth careMedicinePower (physics)PsychologyPolitical scienceLawNurse educationGovernment (linguistics)Environmental health

Résumé

récupéré en direct d'OpenAlex

When preparing her Editorial to accompany the publication in JAN of Janiszewski Goodin's (2003) review of the literature on nursing shortage, Alison Tierney had ‘googled’ the topic but she was disappointed not to find robust and concise analyses of the issue (Tierney 2003). So I undertook a similar exercise and, on typing ‘nursing shortages’ into Google Scholar, I was provided with ‘about 22 200’ results to play with. A cursory scan highlighted immediately three salient features. Firstly, the vast majority of the Google-identified literature is from the USA. Secondly, much of it is descriptive and takes as a given that there is a shortage, without defining it or demonstrating its existence. The emphasis, often unsupported by any hard evidence, is on explaining why there is a shortage, highlighting the negative impact it is having on patient care, and ‘listing’ what should be done about it (e.g. ‘improve pay’, ‘train more nurses’). Thirdly, the minority of papers that do make use of an evidence base usually betray too much faith in the power of that evidence to shape or change policy. They rarely address the fundamental issue: namely, that nursing shortages are neither caused by, or can be solved, in isolation from broader health system issues. The issue of defining, measuring and addressing nursing shortages has to take account of the huge disparity in the current availability of nursing skills in different countries, sectors and regions (Buchan & Calman 2004). For example, as we highlight in that paper, the USA, with a reported nurse:population ratio of more than 700 nurses to 10 000 population, is reporting nursing shortages. But so is Uganda, with a reported nurse:population ratio of 6 to 10 000. From a country-level policy perspective, a shortage is usually defined and measured in relation to that country's own historical staffing levels, resources and estimates of demand for health services. It is the gap between the reality of the current availability of nurses and the aspiration for some higher level of provision, however defined, that is the ‘shortage’. As such, it is not easily quantifiable and ‘shortage’ is a label that is applied to different definitions or used differently by different stakeholders even in the same country context (see e.g. Friss 1994, Grumbach et al. 2001, Buchan 2002, Sochalski 2002). In a paper examining the issue of imbalances in the health workforce, Zurn et al. (2002) noted that there are both ‘economic’ and ‘non-economic’ definitions of shortages or skill imbalance, and that these imbalances may be ‘static’ or ‘dynamic’. At its most basic level, a shortage would be identified where an imbalance exists between the requirements for nursing skills (usually defined as a number of nurses) and the actual availability of nurses. ‘Availability’ has to be qualified by noting that not all ‘available’ nurses will actually be willing to work at a specific level of wage or package of work-related benefits (Buchan 1994). Some nurses may choose alternative non-nursing employment or no employment. A ‘shortage’ is therefore not merely about a numbers game or an economic model: it is about individual and collective decision-making and choice. In this case, the shortage is not necessarily a shortage of individuals with nursing qualifications: it is a shortage of nurses willing to work as nurses under present conditions. The reasons why nurses choose to stay or to leave are highly complex but, as a recent JAN paper from the Ontario Nurse Survey highlights, job satisfaction is certainly one of the strongest predictors of nurse intention to remain employed (Tourangeau & Cranley 2006). So the search for solutions to shortage has to focus on the motivation of nurses, and incentives to recruit and retain them, and encourage them back into nursing, as well as focusing on the planning framework. In short, there is no universal definition of nursing shortages – and therefore no single global measure of their extent and nature. What is evident is that the dynamics of supply and demand are out of balance in many countries and regions. Various ‘process’ indicators (such as vacancy rates, and the extent of use of temporary staff and agency nurses) and outcome indicators (such as mortality rates, cross infection, patient accidents) are often used to highlight the existence of nursing shortages, but these indicators are often flawed or inappropriate (Buchan & Calman 2004). And, as Tierney pointed out in her 2003 Editorial, the ‘shortage of nurses and shortage of nursing are not one and the same’. In previous decades, nursing shortages in many countries have been a cyclical phenomenon, usually as a result of increasing demand outstripping a static or more slowly growing supply of nurses (Friss 1994, Buchan 2002, Goodin 2003). Many high-income countries in Europe, North America and elsewhere are now facing a demographic ‘double whammy’– they have an ageing nursing workforce caring for an ageing population. For these countries, the pressing challenge will be how to replace the many nurses who will retire over the next 10 years. In a recent report on health systems, the Organization for Economic Cooperation and Development (OECD 2004) highlighted that ‘nursing shortages are an important policy concern in part because numerous studies have found an association between higher nurse staffing ratios and reduced patient mortality, lower rates of medical complications and other desired outcomes. Nursing shortages are expected to worsen as the current workforce ages’ (OECD 2004). This ‘crisis’ of nursing shortage is now firmly on the policy agenda in many countries and, within nursing itself, initiatives are underway in four main areas. Firstly, improving retention by keeping the scarce nurses who are already in employment. Research indicates that nurses are attracted to work and remain in work because of the opportunities to develop professionally, to gain autonomy, and to participate in decision-making, while being fairly rewarded. Factors related to work environment can be crucial, and there is some evidence that a decentralized style of management, flexible employment opportunities, and access to continuing professional development can improve both the retention of nursing staff and the quality of patient care. Secondly, countries can broaden the recruitment base. Nursing in many countries has often recruited from a narrowly delineated group: namely, young female school leavers. Some countries are now trying to open out access routes into nursing for a broader range of recruits, including more males, mature entrants, entrants from ethnic minorities, and entrants who have vocational qualifications or work-based experience to compensate for fewer conventional academic qualifications. A third strategy is to attract potential ‘returners’ back into the profession. Most countries have relatively large pools of former nurses with the necessary qualifications, on paper at least, to re-enter nursing. They are attractive to governments because they appear to offer a relatively quick fix to the nursing shortage. Nevertheless, attention has to be paid to why these nurses left the health system in the first place and, therefore, what needs to be done to get them back. A fourth intervention is importing nurses from other countries. Active international recruitment of nurses has been growing as developed countries exploit ‘push’ factors which make some nurses in developing countries willing to cross national boundaries. These factors include relatively low pay, poor career structures, lack of opportunities for further education, and in some countries, the threat of violence. The limitation of all of the above solutions is that they focus on nursing as the problem; they assume that supply-side manipulation can end the problem; and they are often implemented in a piecemeal fashion. Interventions to improve human resource effectiveness are much more likely to succeed where they are co-ordinated and ‘bundled’ than when they are in the form of one-off, isolated efforts (Buchan 2004). The reality is that nursing shortages are often a symptom of wider health system or societal ailments. Nursing in many countries continues to be undervalued as ‘women's work’, and nurses are given only limited access to resources that would enable them to be effective in their jobs and careers. For sustainable solutions, other interventions will also be needed. Some must focus on the demand side. These should be based on the recognition that health care is labour intensive and that available nursing resources must be used effectively. Shortage is not just about numbers, but about how the health system functions to enable nurses to use their skills effectively. Many countries need to enhance and align their workforce planning capacity across occupations and disciplines to identify the skills and roles needed to meet identified service needs overall. They can also improve day-to-day matching of nurse staffing with workload. Flexibility should be about using working patterns that are efficient, but which also support nurses by maintaining a balance between their work and personal life. A wider perspective is needed to achieve clarity of roles and a better balance of registered nurses, physicians, other health professionals, and support workers. The evidence base on skill mix is developing, and many studies highlight the scope for effective deployment of clinical nurse specialists and nurse practitioners in advanced roles. Nursing shortages are a health system problem, which undermines health system effectiveness and requires health system solutions. Until this is understood, and until we make better use of the available evidence, we are doomed to endlessly repeat a cycle of inadequate, uncoordinated, obsolete and often inappropriate policy responses.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,811
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,189
Tête enseignante GPT0,555
Écart entre enseignants0,365 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle