Background
In many countries, nurses are ill-prepared to provide care to patients with terminal illnesses. Limited education and training affect their ability to deliver proper palliative care. Only a few studies have explored appropriate and effective training methods of palliative care in China. Therefore, we aimed to provide evidence for a palliative care training system by appraising the effects of a mixed-method intervention on participants’ knowledge of palliative care and attitudes towards dying patients and death.
Methods
An e-learning intervention approach was adopted for 97 nurses from oncology departments across five hospitals, using a mobile terminal combined with a virtual forum and face-to-face interactions. We conducted a pre- and post-training evaluation through the Palliative Care Quiz of Nursing (PCQN), Frommelt Attitude Toward Care of the Dying Scale Form B (FATCOD-B), and Death Attitude Profile-Revised (DAP-R).
Results
After a three-week intervention, there was a significant increase in the PCQN and FATCOD-B scores as compared to the baseline. For PCQN, the total score increased from 10.3 ± 1.9 to 11.1 ± 2.2 (p = .011) and the score for management of pain and other symptoms increased from 7.7 ± 1.7 to 8.4 ± 1.7 (p = .003). FATCOD-B scores increased noticeably from 104.0 ± 7.6 to 106.4 ± 8.9 (p = .016). The DAP-R scores showed no obvious difference between pre- and post-intervention results.
Conclusions
The mixed-method intervention was effective in improving participants’ knowledge and attitudes about palliative care. The implementation of training nurses at appropriate intervals during both education and professional life are required, especially for the improvement in participants’ attitudes towards death. Therefore, palliative care training in China should receive more attention.

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Posted 12 Jan, 2021
On 08 Feb, 2021
Received 08 Feb, 2021
On 08 Feb, 2021
Received 25 Jan, 2021
On 21 Jan, 2021
On 10 Jan, 2021
Invitations sent on 10 Jan, 2021
On 10 Jan, 2021
On 06 Jan, 2021
On 01 Jan, 2021
Posted 12 Jan, 2021
On 08 Feb, 2021
Received 08 Feb, 2021
On 08 Feb, 2021
Received 25 Jan, 2021
On 21 Jan, 2021
On 10 Jan, 2021
Invitations sent on 10 Jan, 2021
On 10 Jan, 2021
On 06 Jan, 2021
On 01 Jan, 2021
Background
In many countries, nurses are ill-prepared to provide care to patients with terminal illnesses. Limited education and training affect their ability to deliver proper palliative care. Only a few studies have explored appropriate and effective training methods of palliative care in China. Therefore, we aimed to provide evidence for a palliative care training system by appraising the effects of a mixed-method intervention on participants’ knowledge of palliative care and attitudes towards dying patients and death.
Methods
An e-learning intervention approach was adopted for 97 nurses from oncology departments across five hospitals, using a mobile terminal combined with a virtual forum and face-to-face interactions. We conducted a pre- and post-training evaluation through the Palliative Care Quiz of Nursing (PCQN), Frommelt Attitude Toward Care of the Dying Scale Form B (FATCOD-B), and Death Attitude Profile-Revised (DAP-R).
Results
After a three-week intervention, there was a significant increase in the PCQN and FATCOD-B scores as compared to the baseline. For PCQN, the total score increased from 10.3 ± 1.9 to 11.1 ± 2.2 (p = .011) and the score for management of pain and other symptoms increased from 7.7 ± 1.7 to 8.4 ± 1.7 (p = .003). FATCOD-B scores increased noticeably from 104.0 ± 7.6 to 106.4 ± 8.9 (p = .016). The DAP-R scores showed no obvious difference between pre- and post-intervention results.
Conclusions
The mixed-method intervention was effective in improving participants’ knowledge and attitudes about palliative care. The implementation of training nurses at appropriate intervals during both education and professional life are required, especially for the improvement in participants’ attitudes towards death. Therefore, palliative care training in China should receive more attention.

Figure 1

Figure 2
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