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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of an aged care nurse practitioner service: quality of care within a residential aged care facility hospital avoidance service
|
|---|---|
| Published in |
BMC Health Services Research, January 2017
|
| DOI | 10.1186/s12913-017-1977-x |
| Pubmed ID | |
| Authors |
Trudy Dwyer, Alison Craswell, Dolene Rossi, Darren Holzberger |
| Abstract |
Reducing avoidable hospitialisation of aged care facility (ACF) residents can improve the resident experience and their health outcomes. Consequently many variations of hospital avoidance (HA) programs continue to evolve. Nurse practitioners (NP) with expertise in aged care have the potential to make a unique contribution to hospital avoidance programs. However, little attention has been dedicated to service evaluation of this model and the quality of care provided. The purpose of this study was to evaluate the quality of an aged care NP model of care situated within a HA service in a regional area of Australia. Donabedian's structure, process and outcome framework was applied to evaluate the quality of the NP model of care. The Australian Nurse Practitioner Study standardised interview schedules for evaluating NP models of care guided the semi-structured interviews of nine health professionals (including ACF nurses, medical doctors and allied health professionals), four ACF residents and their families and two NPs. Theory driven coding consistent with the Donabedian framework guided analysis of interview data and presentation of findings. Structural dimensions identified included the 'in-reach' nature of the HA service, distance, limitations of professional regulation and the residential care model. These dimensions influenced the process of referring the resident to the NP, the NPs timely response and interactions with other professionals. The processes where the NPs take time connecting with residents, initiating collaborative care plans, up-skilling aged care staff and function as intra and interprofessional boundary spanners all contributed to quality outcomes. Quality outcomes in this study were about timely intervention, HA, timely return home, partnering with residents and family (knowing what they want) and resident and health professional satisfaction. This study provides valuable insights into the contribution of the NP model of care within an aged care, HA service and how staff manipulated the process dimensions to improve referral to the NPs. NP service in this study was dynamic, flexible and responsive to both patient and organisational demands. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 22% |
| Student > Bachelor | 15 | 9% |
| Student > Ph. D. Student | 13 | 8% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 11 | 7% |
| Other | 26 | 16% |
| Unknown | 51 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 37 | 23% |
| Medicine and Dentistry | 21 | 13% |
| Business, Management and Accounting | 9 | 6% |
| Social Sciences | 9 | 6% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 18 | 11% |
| Unknown | 64 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 February 2017.
All research outputs
#14,168,292
of 23,853,707 outputs
Outputs from BMC Health Services Research
#4,897
of 8,030 outputs
Outputs of similar age
#218,434
of 426,921 outputs
Outputs of similar age from BMC Health Services Research
#81
of 130 outputs
Altmetric has tracked 23,853,707 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,030 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 426,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.