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Use of appropriate healthcare technologies: a cross-sectional study in rural Zhejiang of China

Overview of attention for article published in BMC Health Services Research, July 2015
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Title
Use of appropriate healthcare technologies: a cross-sectional study in rural Zhejiang of China
Published in
BMC Health Services Research, July 2015
DOI 10.1186/s12913-015-0947-4
Pubmed ID
Authors

Jianping Ren, Chaojie Liu, Qi-Sheng Gao, Lianping Yang, Xianhong Huang, Qing Guo

Abstract

Appropriate healthcare technologies (AHTs) are an important strategy for improving the availability and accessibility of healthcare services. It is not clear what impact AHTs have on health workers and consumers; and whether those AHTs can continue in place without special or ongoing financial support. This study investigated the attitudes of health workers and consumers towards AHTs. Health facilities from five counties in Zhejiang were surveyed. Participants of the study included all health workers who were involved in the delivery of AHTs in the selected organizations and a group of randomly selected patients who sought services from the participating organizations. A total of 822 questionnaires from health workers and 693 questionnaires from patients were collected for data analyses. The questionnaires measured perceptions and attitudes of respondents towards AHTs using a Likert scale. The respondents delivering public health services rated the highest scores to AHTs (4.42 ± 0.7), followed by those engaged in management of chronic conditions (4.41 ± 0.57) and Traditional Chinese Medicine (TCM) (4.29 ± 0.55). Around 90 % of health workers believed that AHTs were meaningful for rural patients; however, only 69 % of health workers believed that the technologies encouraged by the government were sufficiently developed or "mature", and more than 24 % acknowledged difficulties in using those technologies. Overall, patients were satisfied with AHTs, with 71.6 % feeling "very satisfied" or "satisfied", 24.2 % feeling "acceptable" and 1.6 % feeling "dissatisfied". Most (83 %) patients were satisfied or very satisfied with Traditional Chinese Medicine, compared with management of chronic conditions (80 %), family planning (67 %), public health services (64 %), and finally with maternal and child health care (59 %). Local acceptability should be taken into consideration in determination of AHTs; consumer health literacy needs improvement, particularly in relation to public health and preventive services.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Researcher 4 17%
Lecturer 3 13%
Student > Master 2 8%
Student > Ph. D. Student 2 8%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Business, Management and Accounting 2 8%
Nursing and Health Professions 2 8%
Computer Science 2 8%
Economics, Econometrics and Finance 2 8%
Other 6 25%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 July 2017.
All research outputs
#15,450,375
of 22,959,818 outputs
Outputs from BMC Health Services Research
#5,612
of 7,688 outputs
Outputs of similar age
#154,441
of 263,832 outputs
Outputs of similar age from BMC Health Services Research
#88
of 112 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 17th percentile – i.e., 17% 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 263,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.