Cross-sectional studies: you collect, we do the rest.

Prevalence, knowledge-attitude-practice, burnout, satisfaction, screening, designed, powered, analysed, and written by us; the data collected by you.

What it is

One snapshot, properly designed.

A cross-sectional study measures a population at one point in time, how common a condition, behaviour, or attitude is, and what it is associated with. It is the most accessible original study for a clinician: no follow-up, no intervention, often no more than a validated questionnaire and access to patients or colleagues. What separates a citable one from a rejected one is the design: a justified sample size, a validated instrument, a sampling plan that avoids bias, and an analysis that goes beyond percentages.

What it is built for

You provide, access to the patients, staff, or students, and the data collection using the tool we build.

We provide, the question, protocol, ethics package, validated questionnaire or CRF, sample size, analysis, manuscript, and submission.

Designs, prevalence and descriptive surveys, KAP studies, diagnostic yield, associations with regression.

How it works

The method, in plain terms.

01

Frame the question

Population, outcome, exposures

02

Instrument

Validated questionnaire or CRF

03

Sampling & size

Powered, bias-aware plan

04

You collect

Paper, REDCap, or online form

05

Analysis

Weighted estimates, regression

06

Report

STROBE / CROSS checklists

How you benefit

Why authors start here.

The project, step by step

How a cross-sectional study runs with Cohira.

Start with a free feasibility note →

1

Scope the question

We turn your idea into a measurable prevalence or association question.

2

Protocol, tool & ethics

Protocol, sample size, validated questionnaire or CRF, and the IRB package.

3

You collect the data

With the form we build. REDCap, online, or paper, and a short training call.

4

Analysis

Cleaning, descriptive estimates, and regression, in reproducible code.

5

Manuscript

STROBE-reported paper drafted with you, formatted to the target journal.

6

Submit & revise

Journal shortlist, submission package, and reviewer responses to a decision.

Published examples

What cross-sectional studies look like in print.

Independent, peer-reviewed examples of what this route can produce.

Mayo Clin ProcIllustrative example

Changes in burnout and satisfaction with work-life balance in physicians, 2011 to 2014

Shanafelt TD, et al. · 2015

A questionnaire-based survey of 6,880 US physicians that became the reference point for physician-burnout research.

View in journal →
JAMAIllustrative example

Prevalence of the metabolic syndrome among US adults

Ford ES, et al. · 2002

Cross-sectional analysis of NHANES III, one of the most-cited prevalence estimates in medicine.

View in journal →
JAMAIllustrative example

Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001

Mokdad AH, et al. · 2003

A telephone survey of 195,005 adults showing how a well-designed cross-sectional study shapes public-health policy.

View in journal →

These are independent published studies, shown to illustrate the route, they are not Cohira's work.

Pricing

One fee, from idea to publication.

Cross-sectional study, idea to publication
Protocol, analysis with reproducible code, manuscript, journal shortlist, submission, and reviewer responses.
$1,800per study

Per project, never per author. You collect the data with the tool we design; everything else is included. Journal fees are billed at cost. Your week-by-week timeline is written into the free feasibility note before you pay. Booking more than one study? 10% off the second, 15% off from the third. Acceptance Guarantee & group pricing →

More study types

TriNetXNIS / real-world dataNRD readmissionsGlobal Burden of DiseaseSEER cancer registryUK BiobankAI & ML prediction modelsMeta-analysisNetwork meta-analysesDiagnostic accuracy meta-analysesNarrative reviewsYour clinical dataSingle stages

Start a conversation

Have a population you can survey?

Tell us the group and the question. You get a free feasibility note, design, sample size, and realistic journals, before you commit.

Get a free feasibility note See all study types →