diff --git a/NAMESPACE b/NAMESPACE
index f5c1cb52a..71e08fbf9 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -70,6 +70,7 @@ export(smooth_arx_args_list)
 export(smooth_arx_forecaster)
 export(step_epi_ahead)
 export(step_epi_lag)
+export(step_epi_naomit)
 export(validate_layer)
 import(recipes)
 importFrom(generics,augment)
diff --git a/R/step_epi_naomit.R b/R/step_epi_naomit.R
new file mode 100644
index 000000000..f266fe636
--- /dev/null
+++ b/R/step_epi_naomit.R
@@ -0,0 +1,20 @@
+#' Unified NA omission wrapper function for recipes
+#'
+#' @param recipe Recipe to be used for omission steps
+#'
+#' @return Omits NA's from both predictors and outcomes at training time
+#'   to fit the model. Also only omits associated predictors and not
+#'   outcomes at prediction time due to lack of response and avoidance
+#'   of data loss.
+#' @export
+#' @examples
+#' case_death_rate_subset %>%
+#'  epi_recipe() %>%
+#'  step_epi_naomit()
+
+step_epi_naomit <- function(recipe) {
+  stopifnot(inherits(recipe, "recipe"))
+  recipe %>%
+    recipes::step_naomit(all_predictors()) %>%
+    recipes::step_naomit(all_outcomes(), skip = TRUE)
+}
diff --git a/man/create_layer.Rd b/man/create_layer.Rd
index 7917e8854..81f5e33b0 100644
--- a/man/create_layer.Rd
+++ b/man/create_layer.Rd
@@ -9,9 +9,9 @@ create_layer(name = NULL, open = rlang::is_interactive())
 \arguments{
 \item{name}{Either a name without extension, or \code{NULL} to create the
 paired file based on currently open file in the script editor. If
-the R file is open, \code{use_test()} will create/open the corresponding
+the \verb{R/} file is open, \code{use_test()} will create/open the corresponding
 test file; if the test file is open, \code{use_r()} will create/open the
-corresponding R file.}
+corresponding \verb{R/} file.}
 
 \item{open}{Whether to open the file for interactive editing.}
 }
diff --git a/man/step_epi_naomit.Rd b/man/step_epi_naomit.Rd
new file mode 100644
index 000000000..eccc87c68
--- /dev/null
+++ b/man/step_epi_naomit.Rd
@@ -0,0 +1,25 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/step_epi_naomit.R
+\name{step_epi_naomit}
+\alias{step_epi_naomit}
+\title{Unified NA omission wrapper function for recipes}
+\usage{
+step_epi_naomit(recipe)
+}
+\arguments{
+\item{recipe}{Recipe to be used for omission steps}
+}
+\value{
+Omits NA's from both predictors and outcomes at training time
+to fit the model. Also only omits associated predictors and not
+outcomes at prediction time due to lack of response and avoidance
+of data loss.
+}
+\description{
+Unified NA omission wrapper function for recipes
+}
+\examples{
+case_death_rate_subset \%>\%
+ epi_recipe() \%>\%
+ step_epi_naomit()
+}
diff --git a/tests/testthat/test-step_epi_naomit.R b/tests/testthat/test-step_epi_naomit.R
new file mode 100644
index 000000000..65c9d90c9
--- /dev/null
+++ b/tests/testthat/test-step_epi_naomit.R
@@ -0,0 +1,37 @@
+library(dplyr)
+library(parsnip)
+library(workflows)
+
+# Random generated dataset
+x <- tibble(geo_value = rep("nowhere",200),
+            time_value = as.Date("2021-01-01") + 0:199,
+            case_rate = 1:200,
+            death_rate = 1:200) %>%
+  epiprocess::as_epi_df()
+
+# Preparing the datasets to be used for comparison
+r <- epi_recipe(x) %>%
+  step_epi_ahead(death_rate, ahead = 7) %>%
+  step_epi_lag(death_rate, lag = c(0,7,14))
+
+test_that("Argument must be a recipe", {
+  expect_error(step_epi_naomit(x))
+})
+
+z1 <- step_epi_naomit(r)
+z2 <- r %>%
+  step_naomit(all_predictors()) %>%
+  step_naomit(all_outcomes(), skip = TRUE)
+
+# Checks the behaviour of a step function, omitting the quosure and id that
+# differ from one another, even with identical behaviour
+behav <- function(recipe,step_num) recipe$steps[[step_num]][-1][-5]
+# Checks the class type of an object
+step_class <- function(recipe,step_num) class(recipe$steps[step_num])
+
+test_that("Check that both functions behave the same way", {
+  expect_identical(behav(z1,3),behav(z2,3))
+  expect_identical(behav(z1,4),behav(z2,4))
+  expect_identical(step_class(z1,3),step_class(z2,3))
+  expect_identical(step_class(z1,4),step_class(z2,4))
+})