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Can I use the gt_summary tbl_strata to calculate prevalences and their wilson 95% CIs?

tbl1 <- tbl_strata(
  data = interestbd_df,
  strata = still_births,
  .tbl_fun = ~tbl_summary(
    .,
    type = all_categorical()~ "categorical",
    statistic = all_categorical()~  "{p} ({n}/{N})",
    percent = "cell",
    missing = "no",
    by= NULL,
    conf.level=0.95,
    conf.method= "wilson"
  ),
  .combine_with = "tbl_stack"
)

I hoped to get prevalence and CIs but got this error:

Error in dplyr::mutate():
In argument: tbl = switch(...).
Caused by error in tbl_summary():
unused arguments (conf.level = 0.95, conf.method = "wilson")

Backtrace:

  1. gtsummary::tbl_strata(...)
    11. gtsummary:::map(.data$data, .tbl_fun, ...)
    12. base::lapply(.x, .f, ...)
    13. global FUN(X[[i]], ...)
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