A dental workforce review for a Midlands Strategic Health Authority

Dental therapists/hygienists working in remote-rural primary care: a structured review of effectiveness, efficiency, sustainability, acceptability and affordability

AIM

To examine the use of dental therapist/hygienists to provide primary dental treatment in remote-rural areas with regard to their effectiveness, efficiency, sustainability, acceptability and costs (affordability).

METHOD

The structured literature review of studies indexed in Medline, Embase and CinAHL was conducted using search terms relevant to 'dental therapists' and 'remote-rural'. Remote-rural was defined as 'those (individuals) with a greater than 30-minute drive time to the nearest settlement with a population of greater than 10,000'.

RESULTS

From 1,175 publications screened, 21 studies from 19 publications were initially included. Only seven studies were included that explicitly focused on remote-rural areas. Four were surveys and three were qualitative studies. All of the included studies were reported within the last 7 years. The methodological quality of the surveys varied, particularly with regard to their response rates. All three of the qualitative studies were assessed as potentially weak methodologies. Regarding the research question, none of the studies included provided data relevant to understanding efficiency, cost issues or the acceptability of dental therapists. The available empirical evidence contained only indirect indicators about the sustainability of dental therapy in rural areas.

CONCLUSIONS

The available data indicates that dental therapist/hygienists have suitable skills and could constitute a valuable asset to meet the dental demands in remote-rural areas. However, the evidence base is limited and of a poor quality. There is a need to put in place 'well-designed interventions with robust evaluation to examine cost-effectiveness and benefits to patients and the health workforce'.

Modelling workforce skill-mix: how can dental professionals meet the needs and demands of older people in England?

BACKGROUND

There is an urgent need to consider the skill-mix of the dental team to meet the oral health needs and demands of the population in general, and older people in particular. As people live longer and retain their teeth there will be a progressive change in both the volume and type of dental care required, and the demand for care. Operational research modelling provides the opportunity to examine and test future scenarios for National Health Service (NHS) care.

AIM

The aim of this research was to explore the required skill-mix of the dental team to meet future need and demand of older people in England to 2028 utilising operational research methods and to examine a range of future scenarios.

METHOD

A three-stage computer model was developed to consider demand for dental care, workforce supply and skill-mix. First, the demand model combined population demography and a marker of oral health with attendance and treatment rates based on NHS activity data. Monte Carlo simulation was used to give an indication of the uncertainty surrounding this projected demand. Second, projections on workforce supply and other assumptions relating to clinical hours, NHS commitment and workforce whole time equivalents (WTEs) were analysed to produce a range of estimates for the current and future workforce. Third, staff skill-mix competencies were examined and the data fed into an optimisation model. Linear programming was used to give the optimal workforce makeup and predictions for workforce requirements. Five future scenarios were run from 'no skill-mix' through to 'maximum skill-mix' in the dental team, and the outputs compared.

RESULTS

The results indicate that by 2028 there will be an increase in demand for care among older people of over 80% to almost 8.8 million hours; however, Monte Carlo simulation suggests considerable uncertainty surrounding the demand model outputs with demand deviating from the average in terms of treatment hours by as much as 22%. Modelling a healthcare system with 'no skill-mix' resulted in the lowest volume of clinical staff equivalents (dentists: 8,668) providing care for older people, whereas maximum skill-mix involved more staff (clinical staff = 10,337, of whom 2,623 were dentists, 4,180 hygienist/therapists and 3,534 clinical dental technicians) if all care is provided at the relevant level of competence.

CONCLUSION

The model suggests that with widening skill-mix, dental care professionals can play a major role in building dental care capacity for older people in future. The implications for health policy, professional bodies and dental teamworking are discussed.