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Impact of rural family physician program on child mortality rates in Iran: a time-series study

Overview of attention for article published in Population Health Metrics, June 2017
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1 policy source
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3 X users

Citations

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19 Dimensions

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57 Mendeley
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Title
Impact of rural family physician program on child mortality rates in Iran: a time-series study
Published in
Population Health Metrics, June 2017
DOI 10.1186/s12963-017-0138-0
Pubmed ID
Authors

Shohreh Naderimagham, Hamidreza Jamshidi, Alireza Khajavi, Farhad Pishgar, Ali Ardam, Bagher Larijani, Zohreh Mahmoudi, Alireza Jeddian, Hamid Reza Bahrami-Taghanaki, Farshad Farzadfar

Abstract

The rural family physician program and social protection scheme were started in Iran about 10 years ago, and no comprehensive study has been carried out to investigate the effects of this program on mortality-related health indicators yet. The present study aims to examine the impacts of implementation of the family physician program and rural insurance program, which was launched in June 2005, on neonatal (NMR), infant (IMR), and under-5-year (U5MR) mortality rates in rural areas of Iran between 1995 and 2011, using a time-series analysis. Three segmented regression models were built to evaluate the effects of the program on NMR, IMR, and U5MR, and several independent variables were entered into the models, including annual incremental effect of the program (variable of interest), time effect, behvarz density, effect of the family physician and rural insurance programs, as well as socioeconomic variables including years of schooling, wealth index, sex ratio, and logarithmic scales of rural population size in each area. Data were gathered from secondary sources and other studies. Data pertaining to the year 2007 were excluded from the final analysis due to their inaccuracy. Our results show that the incremental effect of implementing the rural family physician program is associated with significant reductions in NMR (β = - 0.341. p - value = 0.003) and IMR (β = - 0.016. p - value = 0.009). Although the association between this effect and reductions in U5MR were evident, they were not statistically significant (β = - 0.003. p - value = 0.542). Moreover, wealth status of inhabitants was associated with reductions in NMR (β = - 0.889. p - value = 0.001), IMR (β = - 0.052. p - value < 0.001), and U5MR (β = - 0.055. p - value < 0.001) in the time period of the study. In this nationally representative study, we showed that implementation of the second health system reform in Iran, known as the family physician program and social protection scheme for rural inhabitants, is associated with significant reductions in NMR and IMR. However, reported reductions in U5MR were not found to be statistically associated with the launch of the program. The advantage of this study was the ability to depict a more precise picture of the outcomes of a national-level intervention.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 8 14%
Student > Master 8 14%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Other 6 11%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 13 23%
Social Sciences 10 18%
Nursing and Health Professions 7 12%
Economics, Econometrics and Finance 2 4%
Business, Management and Accounting 2 4%
Other 6 11%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 August 2022.
All research outputs
#6,204,921
of 22,977,819 outputs
Outputs from Population Health Metrics
#177
of 391 outputs
Outputs of similar age
#99,589
of 317,446 outputs
Outputs of similar age from Population Health Metrics
#7
of 13 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 317,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.