PONE-D-19-31527

Assessment of missed opportunities for vaccination in Kenyan health facilities, 2016

PLOS ONE

Dear Dr Anyie Joana Li

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Reviewers' comments:

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: The introduction and discussion can use a better framing of the purpose and implication of quantifying the missed opportunities. It seems a bit obvious that all contacts that did not result in vaccination if eligible will be a missed opportunity. Similarly, if health workers were not instructed to provide vaccination at every contacts that were not primarily for reasons of vaccinations, it is strange to ding them for not doing so.

Also it will help to give some context to the quantified missed opportunities. How does this compare to other countries? How bad is this? There was a quick description of the missed opportunities being much more if taking into account those without documentation of vaccination dates, but more can be said to further provide context to help readers understand the gravity of your results

Reviewer #2: The authors have provided a good documentation of findings regarding missed opportunities for simultaneous vaccines. The methods for data collection and analysis are described reasonably, such that readers can readily understand the basis and organization of results, without delving unnecessarily deeply into statistical methods. As such this study provides a good foundational work of reporting as a benchmark for future studies. To improve this study the authors might consider discussing the results in the context of specific action, rather than as a more general reporting of data. For example, the authors state that one in five surveyed health workers were unable to identify all of the vaccines in the national schedule. It could be additionally useful to know if there were specific vaccines or points in the recommended vaccination schedule that could be a point of focus for improvement. Similarly, cross-tabulation of demographic variables against timeliness and MOV data cold provide additional insight into specific characteristics that tend to favor missed opportunities or late vaccines - or indeed those characteristics that favor no missed opportunities and consistently timely vaccines. And, adding a statistical measure of significance, a "p" value, would provide to the reader a distinction between general reporting and significant findings.

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Reviewer #1: Yes: Yvonne Tam

Reviewer #2: No

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Assessment of missed opportunities for vaccination in Kenyan health facilities, 2016

PONE-D-19-31527R1

Dear Dr. Anyie Joana Li,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Daniela Flavia Hozbor

Academic Editor

PLOS ONE

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Reviewers' comments: