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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effect of unaffordable medical need on distress level of family member: analyses of 1997–2013 United States National Health Interview Surveys
|
|---|---|
| Published in |
BMC Psychiatry, September 2017
|
| DOI | 10.1186/s12888-017-1483-z |
| Pubmed ID | |
| Authors |
Hui Jun Chih, Wenbin Liang |
| Abstract |
Reduced funding to public health care systems during economic downturns is a common phenomenon around the world. The effect of health care cost on family members of the patients has not been established. This paper aims to explore the relationship between affordability of health care and vulnerability of family members to distress levels. Data of a total of 262,843 participants were obtained from 17 waves (1997-2013) of the United States National Health Interview Survey. Multinomial logistic regression was used to investigate psychological distress level as a result of having family members who experienced unmet medical needs due to cost. Among participants without family members who experienced unmet needs for medical care due to cost, risks of having 'moderate' (score of 5-12) or 'serious' (score of 13 or above) level of psychological distress were 1.0% and 11.5%, respectively. Risks of having 'moderate' or 'serious' level of psychological distress were 3.1% and 23.4%, respectively among participants with family members who experienced unmet needs. The adjusted relative risk ratio of 'moderate' and 'serious', as compared to 'normal' level of psychological distress, were 1.58 (95% confidence interval: 1.47-1.69) and 2.09 (95% confidence interval: 1.78-2.45) if one's family members experienced unmet medical needs. Unmet medical needs due to cost increases risk of distress levels experienced by family members. Careful planning and adequate funding to public health care system could be implemented to prevent any unnecessary detrimental effect on mental health among family members of the unwell and any further increment of the prevalence of mental illnesses. This recommendation aligns with the World Health Organization Mental Health Action Plan 2013-2020. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 16% |
| Student > Doctoral Student | 6 | 16% |
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 22% |
| Psychology | 6 | 16% |
| Social Sciences | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Business, Management and Accounting | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 8 | 22% |
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 11 October 2017.
All research outputs
#14,102,908
of 23,881,329 outputs
Outputs from BMC Psychiatry
#3,015
of 4,939 outputs
Outputs of similar age
#162,824
of 318,258 outputs
Outputs of similar age from BMC Psychiatry
#55
of 86 outputs
Altmetric has tracked 23,881,329 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 4,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 37th percentile – i.e., 37% 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 318,258 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 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.