2017
DOI: 10.1007/s10389-017-0858-4
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Trace and evaluation systems for health services quality in rural and remote areas: a systematic review

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Cited by 14 publications
(9 citation statements)
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“…First, we only searched WoS database and did not search other medical databases, since WoS is considered the most important database in scientometrics (11,17). Second, all data were extracted using scientometric tools, which differed from a systematic review or overview in which data were manually extracted by two or more reviewers (42)(43)(44); therefore, the data may be biased. With on-going development of the information science field and information visualization technology, we hope that these limitations will be solved by more advanced scientometric tools.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…First, we only searched WoS database and did not search other medical databases, since WoS is considered the most important database in scientometrics (11,17). Second, all data were extracted using scientometric tools, which differed from a systematic review or overview in which data were manually extracted by two or more reviewers (42)(43)(44); therefore, the data may be biased. With on-going development of the information science field and information visualization technology, we hope that these limitations will be solved by more advanced scientometric tools.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…The information included in the study was extracted according to a predesigned data extraction table. The screening and information extraction of each paper were carried out independently by two professionals, and a third party was involved if there were differences of opinions 14,15 …”
Section: Methodsmentioning
confidence: 99%
“…The screening and information extraction of each paper were carried out independently by two professionals, and a third party was involved if there were differences of opinions. 14 , 15 …”
Section: Methodsmentioning
confidence: 99%
“…First, this systematic review analyzed the reporting quality of N-of-1 trials and protocols from 2015 to 2020 for the first time, which helps to improve the integrity and standardization 6 of the subsequent trials and the use of the protocols by all stakeholders. Like traditional systematic reviews, 26,27 we used a robust search of four common databases and data extraction procedures, including validation of the screening/sifting process and double data extraction. 16,28 Thus, the conclusions remain relatively impartial.…”
Section: Strengths and Limitationsmentioning
confidence: 99%