Implementation Science Submission Guide

Source: Clarivate JCR 2024, BMC editorial disclosures (accessed April 2026).

Source: Implementation Science author guidelines.

Use this page when deciding:

• whether the contribution is implementation-science

• whether theoretical grounding is rigorous

• whether implementation-outcomes measurement is appropriate

• a clear implementation-science contribution

• theoretical grounding in established implementation frameworks

• implementation-outcomes measurement

• rigorous methodology

• a cover letter establishing the implementation-science contribution

• Descriptive program evaluations without implementation-science framing.

• Missing theoretical grounding.

• Weak implementation-outcomes measurement.

• Clinical effectiveness research without implementation focus.

Implementation Science is the flagship implementation-research journal.

Theory-driven standard: the journal differentiates from clinical trial journals by demanding theory-driven implementation-research framing.

Implementation-outcomes expectation: editors expect measurement of adoption, fidelity, sustainability, or comparable implementation outcomes.

The 30-40% desk rejection rate: decisive editorial screen.

The strongest Implementation Science cover letters establish:

• the implementation-science contribution

• the theoretical grounding

• the implementation-outcomes measurement

• the methodological approach

Implementation Science requires these at first submission:

• Cover letter explicitly establishing the theoretical framework deployed and the rationale for its use (the journal explicitly advocates against superficial theory application)

• Populated reporting checklist appropriate for the study design (StaRI for implementation studies, CONSORT for trials, STROBE for observational, COREQ for qualitative, etc.)

• Declaration of competing interests for all authors

• Ethics approval statement (IRB or equivalent) with explicit approval number

• Informed consent statement where applicable

• Data availability statement covering qualitative interview data, quantitative datasets, or modeling code

• CRediT author contributions statement

• Four or more suggested reviewers with no recent collaboration history

For Implementation Science submissions, the most common artifact-related desk-reject is a missing or incomplete reporting checklist. BMC editors check this at intake; submissions without the matched checklist for the study design are commonly returned for completion before scope screen.

For Implementation Science submissions, the editorial timeline runs through four phases. Published data indicates a median 29 days from submission to first decision (fast for the field) and 134 days from submission to acceptance, with overall acceptance running 20-25% and desk-rejection around 30-40%.

Day 0 to 5: BMC Editorial Manager intake and editor assignment

BMC intake handles format compliance plus the reporting-checklist and ethics-statement checks. The handling Editor assignment lands within 5 days; implementation-science papers route to subject editors with matching domain expertise (clinical implementation, public-health implementation, behavioral-change implementation, policy implementation). The most common Day 0-5 hold-up: missing matched reporting checklist or weak theoretical-framework framing in the cover letter.

Day 5 to 29: Editor scope and theory screen

Implementation Science's editor filter prioritizes theoretically informed research where the deployed theory or framework is integral to the study design, not bolted on at the discussion stage. The most common Day 5-29 desk reject in our review work: descriptive implementation reports without a clearly framed theoretical contribution, or studies that name a framework (CFIR, RE-AIM, NPT) without substantively engaging with it. Roughly 30-40% of submissions exit at this stage via desk rejection.

Week 4 to 12: Peer review

Standard 2-3 reviewers, 4-8 week review window after the desk decision. Reviewer mix typically includes one implementation-science methodologist plus one substantive-domain specialist. Submissions missing explicit linkage between theory deployment and findings extend reviewer dialogue by 3-5 weeks.

Week 12 to 19: Decision and revision

Major revision is the standard first decision at Implementation Science. Revision rounds typically settle at 1-2. Median submission-to-acceptance: 134 days (around 4-5 months) for accepted papers. BMC open-access APC at acceptance.

• Is Implementation Science a good journal?

Before upload, run your manuscript through an Implementation Science theory and outcomes readiness check.

Read the public instructions for mechanics, then pressure-test the package the way an editor will see it. The review tells you whether your paper clears the Implementation Science fit check before upload, especially around descriptive program evaluations without implementation-science framing, missing theoretical grounding in established frameworks, and weak implementation-outcomes measurement. Paid Manusights reviews include a 60-day money-back guarantee, and we do not train models on submitted manuscripts.

Across implementation manuscripts targeting Implementation Science, three patterns appear most often in desk-rejected submissions.

Manusights pre-submission pattern analysis shows many Implementation Science desk rejections trace to descriptive program-evaluation framing. The same pattern analysis often finds these cases involve missing theoretical grounding. A related pattern is that these cases often arise from weak implementation-outcomes measurement.

Descriptive program evaluations without implementation-science framing

Implementation Science editors look for theory-driven research, not just program-evaluation reports. We observe submissions framed as program implementations without theoretical grounding routinely desk-rejected.

Check descriptive program evaluations without implementation science framing before submitting to Implementation Science →

Missing theoretical grounding in established frameworks

Editors expect engagement with CFIR, PARIHS, RE-AIM, ERIC, or comparable frameworks. We see manuscripts using ad-hoc framing without established frameworks routinely returned.

Check missing theoretical grounding in established frameworks before submitting to Implementation Science →

Weak implementation-outcomes measurement

Implementation Science specifically expects measurement of implementation outcomes (adoption, fidelity, acceptability, feasibility, sustainability). We find papers reporting only clinical outcomes without implementation outcomes routinely declined. An Implementation Science theory and outcomes readiness check can identify whether the package supports a submission.

Clarivate JCR 2024 bibliometric data places Implementation Science as the leading implementation-research journal.

Check weak implementation outcomes measurement before submitting to Implementation Science →

In pre-submission diagnostic work for top implementation-research journals, we consistently see four signals that distinguish strong submissions from weak ones. First, the contribution must be theory-driven, not descriptive; submissions framed as program-evaluation reports without theoretical framing fail at desk screening. Second, theoretical grounding should engage with established implementation frameworks (CFIR, PARIHS, RE-AIM, ERIC). Third, implementation outcomes (adoption, fidelity, sustainability) should be measured alongside any clinical outcomes. Fourth, methodology should be appropriate to the implementation-research question.

For Implementation Science-targeted manuscripts, the single most consistent feedback class we deliver in pre-submission diagnostics for Implementation Science is the descriptive-versus-theory-driven distinction. Implementation Science editors expect theoretical framing, not just program-implementation reports. Submissions framed as "we implemented program X in setting Y" routinely receive "where is the implementation theory?" feedback during desk screening.

We coach authors to lead with the implementation-research question and frame the program in service of that question. Papers framed as "we tested how implementation strategy X, grounded in CFIR construct Y, affected adoption and fidelity in setting Z" receive better editorial traction.

The same logic applies across implementation-research journals: editors are operating with limited slot inventory, and the submissions that get traction lead with the theory-driven implementation question.

For Implementation Science-targeted manuscripts, beyond the rubric checks, three pre-submission diagnostic patterns recur most often in the manuscripts we review for Implementation Science. First, manuscripts where the abstract emphasizes clinical or program outcomes without implementation outcomes are flagged at desk for descriptive framing. We recommend the abstract's central sentences state the implementation question, the theoretical framework, and the implementation outcomes measured.

Second, manuscripts where implementation strategies are reported without explicit mapping to ERIC taxonomy or comparable framework are flagged for strategy-specification gaps. We recommend explicit mapping of strategies to established taxonomies. Third, manuscripts that lack engagement with Implementation Science's recent issues are at risk of being told the contribution doesn't fit the publication conversation.