analysis/report.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Monitoring the incidence and management of inflammatory arthritis in England "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Autoimmune inflammatory arthritis (IA) encompasses an overlapping group of conditions that includes rheumatoid arthritis (RA), psoriatic arthritis (PsA), axial spondyloarthritis (axSpA), and undifferentiated IA. Early diagnosis of IA and prompt treatment with disease-modifying anti-rheumatic drugs (DMARDs; e.g. methotrexate) improves outcomes for patients and increases the likelihood of remission.\n",
    "\n",
    "In England and Wales, the quality of care for people with IA is benchmarked in the [National Early Inflammatory Arthritis Audit](https://www.rheumatology.org.uk/practice-quality/audits/neiaa) (NEIAA). Metrics benchmarked include the time from primary care referral to initial rheumatology assessment, and the time to initiation of a DMARD. However, during the COVID-19 pandemic, mandatory data collection in NEIAA was paused, thereby preventing comparisons of care.\n",
    "\n",
    "The aim of this report is to use the OpenSAFELY platform to replicate key metrics from NEIAA, and assess the impact of COVID-19 on care for people with new diagnoses of IA in England. The results shown below are from a study population consisting of all patients aged 18 years or above who are registered with a general practice in England that uses TPP health software."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image, Markdown\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from IPython.display import HTML, display, Markdown\n",
    "%config InlineBackend.figure_format='png'\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Incidence of inflammatory arthritis diagnoses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This graph shows the monthly incidence of new IA diagnoses in England, corresponding to the appearance of new IA diagnosis codes ([RA](https://www.opencodelists.org/codelist/user/markdrussell/new-rheumatoid-arthritis/535a8249/), [PsA](https://www.opencodelists.org/codelist/user/markdrussell/psoriatic-arthritis/6c69f57e/), [axSpA](https://www.opencodelists.org/codelist/user/markdrussell/axial-spondyloarthritis/057968b4/), [undifferentiated IA](https://www.opencodelists.org/codelist/user/markdrussell/undiff-eia/459a5829/)) in patients' primary care records between 1 April 2019 and 31 October 2023. The denominator for calculating diagnostic incidence was all adults registered with a TPP general practice as of 1 April 2019 (17.7 million). The vertical hashed line in the graph corresponds to the start of the first COVID-19 lockdown in England (March 2020).\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {
      "image/png": {
       "width": 1200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"../output/figures/incidence_twoway_rounded.png\", width=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table below summarises the number of new IA diagnoses and corresponding diagnostic incidence (per 10,000 adult population), by year of diagnosis.\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">All IA diagnoses</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Rheumatoid arthritis</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Psoriatic arthritis</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Axial spondyloarthritis</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Undifferentiated IA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Count</th>\n",
       "      <th>Incidence</th>\n",
       "      <th>Count</th>\n",
       "      <th>Incidence</th>\n",
       "      <th>Count</th>\n",
       "      <th>Incidence</th>\n",
       "      <th>Count</th>\n",
       "      <th>Incidence</th>\n",
       "      <th>Count</th>\n",
       "      <th>Incidence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>April 2019/20</th>\n",
       "      <td>1820</td>\n",
       "      <td>1.03</td>\n",
       "      <td>530</td>\n",
       "      <td>0.30</td>\n",
       "      <td>605</td>\n",
       "      <td>0.34</td>\n",
       "      <td>485</td>\n",
       "      <td>0.27</td>\n",
       "      <td>200</td>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April 2020/21</th>\n",
       "      <td>3240</td>\n",
       "      <td>1.83</td>\n",
       "      <td>1040</td>\n",
       "      <td>0.59</td>\n",
       "      <td>1080</td>\n",
       "      <td>0.61</td>\n",
       "      <td>810</td>\n",
       "      <td>0.46</td>\n",
       "      <td>315</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April 2021/22</th>\n",
       "      <td>3835</td>\n",
       "      <td>2.17</td>\n",
       "      <td>1370</td>\n",
       "      <td>0.77</td>\n",
       "      <td>1180</td>\n",
       "      <td>0.67</td>\n",
       "      <td>940</td>\n",
       "      <td>0.53</td>\n",
       "      <td>345</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>April 2022/23</th>\n",
       "      <td>1670</td>\n",
       "      <td>0.94</td>\n",
       "      <td>930</td>\n",
       "      <td>0.53</td>\n",
       "      <td>355</td>\n",
       "      <td>0.20</td>\n",
       "      <td>295</td>\n",
       "      <td>0.17</td>\n",
       "      <td>95</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table = pd.read_csv(\"../output/tables/diag_count_byyear.csv\")\n",
    "table_subset = table.loc[[0, 1, 2, 3], [\"total_diag_round\", \"incidence_total_diag_round\", \"ra_diag_round\", \"incidence_ra_diag_round\", \"psa_diag_round\", \"incidence_psa_diag_round\", \"axspa_diag_round\", \"incidence_axspa_diag_round\", \"undiff_diag_round\", \"incidence_undiff_diag_round\"]]\n",
    "table_subset[[\"incidence_total_diag_round\", \"incidence_ra_diag_round\", \"incidence_psa_diag_round\", \"incidence_axspa_diag_round\", \"incidence_undiff_diag_round\"]] = table_subset[[\"incidence_total_diag_round\", \"incidence_ra_diag_round\", \"incidence_psa_diag_round\", \"incidence_axspa_diag_round\", \"incidence_undiff_diag_round\"]].astype(float).round(2)\n",
    "table_subset.columns = pd.MultiIndex.from_tuples([('All IA diagnoses', 'total_diag_round'), ('All IA diagnoses', 'incidence_total_diag_round'), ('Rheumatoid arthritis', 'ra_diag_round'), ('Rheumatoid arthritis', 'incidence_ra_diag_round'), ('Psoriatic arthritis', 'psa_diag_round'), ('Psoriatic arthritis', 'incidence_psa_diag_round'), ('Axial spondyloarthritis', 'axspa_diag_round'), ('Axial spondyloarthritis', 'incidence_axspa_diag_round'), ('Undifferentiated IA', 'undiff_diag_round'), ('Undifferentiated IA', 'incidence_undiff_diag_round')])\n",
    "table_subset.rename(columns = {'diagnosis_year':'Diagnosis year', 'total_diag_round':'Count', 'incidence_total_diag_round':'Incidence', 'ra_diag_round':'Count', 'incidence_ra_diag_round':'Incidence', 'psa_diag_round':'Count', 'incidence_psa_diag_round':'Incidence', 'axspa_diag_round':'Count', 'incidence_axspa_diag_round':'Incidence', 'undiff_diag_round':'Count', 'incidence_undiff_diag_round':'Incidence'}, inplace = True)\n",
    "table_subset.rename(index = {0:'April 2019/20', 1:'April 2020/21', 2:'April 2021/22', 3:'April 2022/23'}, inplace = True)\n",
    "display(\n",
    "    HTML(table_subset.to_html(index=True)),\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to initial rheumatology assessment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### National trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table below summarises the median time, in days, from primary care referral to first assessment by a rheumatology specialist for people with new IA diagnoses, separated by date of diagnosis and by disease subtype.\n",
    "\n",
    "Data are shown for all patients with new IA diagnoses who had their first rheumatology outpatient appointment captured and who had a minimum of 6 months of available follow-up (from 1 April 2019 to 31 March 2023). Rheumatology outpatient clinics were defined by the presence of a ['410' treatment function code](https://www.datadictionary.nhs.uk/attributes/treatment_function_code.html). A proxy of primary care referral date was used, defined as the last primary care appointment before the first rheumatology appointment.\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "positional indexers are out-of-bounds",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-12-a462a4afa83e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"../output/tables/table_median_bydiag_rounded_to21_report.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtable_subset\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m7\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m13\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m17\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m19\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m21\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m23\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m27\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m29\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m31\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m33\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m35\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mtable_subset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_tuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m7\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m11\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m13\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m17\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m19\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m21\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m23\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m25\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m27\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m29\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m31\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m33\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'Median time to rheumatology assessment (days)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m35\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mtable_subset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Overall'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Apr 2019-Jun 2019\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m7\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jul 2019-Sep 2019\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m9\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Oct 2019-Dec 2019\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m11\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jan 2020-Mar 2020\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m13\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Apr 2020-Jun 2020\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m15\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jul 2020-Sep 2020\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m17\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Oct 2020-Dec 2020\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m19\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jan 2021-Mar 2021\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m21\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Apr 2021-Jun 2021\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m23\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jul 2021-Sep 2021\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m25\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Oct 2021-Dec 2021\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m27\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jan 2022-Mar 2022\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m29\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Apr 2022-Jun 2022\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m31\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jul 2022-Sep 2022\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m33\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Oct 2022-Dec 2022\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m35\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\"Jan 2023-Mar 2023\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mtable_subset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'All IA diagnoses'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Rheumatoid arthritis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Psoriatic arthritis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Axial spondyloarthritis'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Undifferentiated IA'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1759\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1760\u001b[0m                     \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1761\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1762\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1763\u001b[0m             \u001b[0;31m# we by definition only have the 0th axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   2064\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2065\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2066\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_has_valid_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2067\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2068\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_has_valid_tuple\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    700\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mIndexingError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Too many indexers\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    701\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    703\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m                 raise ValueError(\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2006\u001b[0m             \u001b[0;31m# check that the key does not exceed the maximum size of the index\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2007\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mlen_axis\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mlen_axis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2008\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"positional indexers are out-of-bounds\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2009\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2010\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Can only index by location with a [{self._valid_types}]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: positional indexers are out-of-bounds"
     ]
    }
   ],
   "source": [
    "table = pd.read_csv(\"../output/tables/table_median_bydiag_rounded_to21_report.csv\")\n",
    "table_subset = table.iloc[[0,1,2,3,4], [3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35]]\n",
    "table_subset.columns = pd.MultiIndex.from_tuples([('', 3), ('', 5), ('', 7), ('', 9), ('Median time to rheumatology assessment (days)', 11), ('Median time to rheumatology assessment (days)', 13), ('Median time to rheumatology assessment (days)', 15), ('Median time to rheumatology assessment (days)', 17), ('Median time to rheumatology assessment (days)', 19), ('Median time to rheumatology assessment (days)', 21), ('Median time to rheumatology assessment (days)', 23), ('Median time to rheumatology assessment (days)', 25), ('Median time to rheumatology assessment (days)', 27), ('Median time to rheumatology assessment (days)', 29), ('Median time to rheumatology assessment (days)', 31), ('Median time to rheumatology assessment (days)', 33), ('Median time to rheumatology assessment (days)', 35)])\n",
    "table_subset.rename(columns = {3:'Overall', 5:\"Apr 2019-Jun 2019\", 7:\"Jul 2019-Sep 2019\", 9:\"Oct 2019-Dec 2019\", 11:\"Jan 2020-Mar 2020\", 13:\"Apr 2020-Jun 2020\", 15:\"Jul 2020-Sep 2020\", 17:\"Oct 2020-Dec 2020\", 19:\"Jan 2021-Mar 2021\", 21:\"Apr 2021-Jun 2021\", 23:\"Jul 2021-Sep 2021\", 25:\"Oct 2021-Dec 2021\", 27:\"Jan 2022-Mar 2022\", 29:\"Apr 2022-Jun 2022\", 31:\"Jul 2022-Sep 2022\", 33:\"Oct 2022-Dec 2022\", 35:\"Jan 2023-Mar 2023\"}, inplace = True)\n",
    "table_subset.rename(index = {0:'All IA diagnoses', 1:'Rheumatoid arthritis', 2:'Psoriatic arthritis', 3:'Axial spondyloarthritis', 4:'Undifferentiated IA'}, inplace = True)\n",
    "display(\n",
    "    HTML(table_subset.to_html(index=True)),\n",
    "    )\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph below shows the proportion of patients who received their first rheumatology assessment within 3 weeks of primary care referral. The 3-week target is recommended in national guidelines ([NICE](https://www.nice.org.uk/guidance/qs33)). Trends during each full-year period from April are shown. \n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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awVpiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "image/png": {
       "width": 1200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "Image(filename=\"../output/figures/ITSA_diagnostic_delay_GP_newey.png\", width=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Regional trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Summarised below is the regional variation in rheumatology assessment times for new IA patients. Results are compared by time period: Year 1 (1 April 2019 to 31 March 2020); Year 2 (1 April 2020 to 31 March 2021); Year 3 (1 April 2021 to 31 March 2022); and Year 4 (1 April 2022 to 31 March 2023).\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "image/png": {
       "width": 1200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"../output/figures/regional_qs2_bar_GP_merged.png\", width=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time to prescription of a DMARD in primary care"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### National trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph below shows the proportion of patients who were prescribed conventional synthetic DMARDs (csDMARDs: methotrexate, leflunomide, sulfasalazine or hydroxychloroquine) in primary care within 6 months of their first rheumatology appointment. Trends during each full-year period from April are shown. Decreases were observed in March 2020 and April 2020, corresponding to the start of the first COVID-19 lockdown in England.\n",
    "\n",
    "Data are shown for all patients with new diagnoses of RA, PsA or undifferentiated IA who had their first rheumatology appointment captured and a minimum of 6 months of available follow-up (from 1 April 2019 to 31 March 2023). Data for patients with axSpA are not included, due to small numbers of these patients receiving csDMARDs. Only primary care-issued prescriptions for DMARDs are captured, representing shared-care prescribing between primary care and secondary care clinicians; secondary care-issued prescriptions are not currently captured. \n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "image/png": {
       "width": 1200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"../output/figures/ITSA_csDMARD_delay_newey.png\", width=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Regional trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Summarised below is the regional variation in time to first csDMARD prescription in primary care. Results are compared by time period: Year 1 (1 April 2019 to 31 March 2020); Year 2 (1 April 2020 to 31 March 2021); Year 3 (1 April 2021 to 31 March 2022); and Year 4 (1 April 2022 to 31 March 2023).\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "image/png": {
       "width": 1200
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"../output/figures/regional_csdmard_bar_merged.png\", width=1200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Choice of first DMARD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table below shows the choice of first DMARD for IA patients who were prescribed at least one csDMARD in primary care within 6 months of diagnosis. \n",
    "\n",
    "Data are shown for patients with new diagnoses of RA, PsA or undifferentiated IA who had their first rheumatology appointment captured and a minimum of 6 months of available follow-up (from 1 April 2019 to 31 March 2023). Data for patients with axSpA are not included, due to small numbers of these patients receiving csDMARDs. Similarly, prescriptions for leflunomide are not shown, as these represent <2% of DMARD prescriptions. Only primary care-issued prescriptions for DMARDs are captured, representing shared-care prescribing between primary and secondary care clinicians; secondary care-issued prescriptions are not currently captured.\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "positional indexers are out-of-bounds",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-13-2351a2316557>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"../output/tables/first_csdmard_rounded_report.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtable_subset\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m14\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m18\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m22\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m24\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m26\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m28\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m34\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mtable_subset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrename\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Hydroxychloroquine'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Methotrexate'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m'Sulfasalazine'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mtable_subset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMultiIndex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_tuples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'First csDMARD prescribed in primary care (%)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'First csDMARD prescribed in primary care (%)'\u001b[0m\u001b[0;34m,\u001b[0m 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      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1759\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1760\u001b[0m                     \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1761\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1762\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1763\u001b[0m             \u001b[0;31m# we by definition only have the 0th axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   2064\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2065\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2066\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_has_valid_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2067\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2068\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_has_valid_tuple\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    700\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mIndexingError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Too many indexers\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    701\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    703\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m                 raise ValueError(\n",
      "\u001b[0;32m/opt/venv/lib/python3.8/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2006\u001b[0m             \u001b[0;31m# check that the key does not exceed the maximum size of the index\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2007\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mlen_axis\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mlen_axis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2008\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"positional indexers are out-of-bounds\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2009\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2010\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Can only index by location with a [{self._valid_types}]\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIndexError\u001b[0m: positional indexers are out-of-bounds"
     ]
    }
   ],
   "source": [
    "table = pd.read_csv(\"../output/tables/first_csdmard_rounded_report.csv\")\n",
    "table_subset = table.iloc[[1,2,0], [2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34]]\n",
    "\n",
    "table_subset.rename(index = {0:'Hydroxychloroquine', 1:'Methotrexate', 2:'Sulfasalazine'}, inplace = True)\n",
    "table_subset.columns = pd.MultiIndex.from_tuples([('', 2), ('', 4), ('', 6), ('', 8), ('First csDMARD prescribed in primary care (%)', 10), ('First csDMARD prescribed in primary care (%)', 12), ('First csDMARD prescribed in primary care (%)', 14), ('First csDMARD prescribed in primary care (%)', 16), ('First csDMARD prescribed in primary care (%)', 18), ('First csDMARD prescribed in primary care (%)', 20), ('First csDMARD prescribed in primary care (%)', 22), ('First csDMARD prescribed in primary care (%)', 24), ('First csDMARD prescribed in primary care (%)', 26), ('First csDMARD prescribed in primary care (%)', 28), ('First csDMARD prescribed in primary care (%)', 30), ('First csDMARD prescribed in primary care (%)', 32), ('First csDMARD prescribed in primary care (%)', 34)])\n",
    "table_subset.rename(columns = {2:'Overall', 4:\"Apr 2019-Jun 2019\", 6:\"Jul 2019-Sep 2019\", 8:\"Oct 2019-Dec 2019\", 10:\"Jan 2020-Mar 2020\", 12:\"Apr 2020-Jun 2020\", 14:\"Jul 2020-Sep 2020\", 16:\"Oct 2020-Dec 2020\", 18:\"Jan 2021-Mar 2021\", 20:\"Apr 2021-Jun 2021\", 22:\"Jul 2021-Sep 2021\", 24:\"Oct 2021-Dec 2021\", 26:\"Jan 2022-Mar 2022\", 28:\"Apr 2022-Jun 2022\", 30:\"Jul 2022-Sep 2022\", 32:\"Oct 2022-Dec 2022\", 34:\"Jan 2023-Mar 2023\"}, inplace = True)\n",
    "\n",
    "display(\n",
    "  HTML(table_subset.to_html(index=True)),\n",
    "   )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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