CatSalut · June snapshots · 2021–2026

Gastroscopy waiting times in Catalonia

Six years of public data, hospital by hospital. Explore patients waiting, average waiting time and trends using a consistent geography over time.

Public data made easier to explore

CatSalut publishes diagnostic-test waiting lists by centre. This page reorganises the June snapshot for each year to follow gastroscopy trends, compare hospitals and maintain a consistent geography when administrative divisions change.

This is not a ranking or an assessment of care. The number of patients waiting and the mean waiting time are different indicators and are shown separately.

Catalunya

Trend 2021–2026

The three charts use the same timeline. Hover over a point to see the exact value for each June snapshot.

Patients on the waiting list

+54,1% vs 2021
10.8k14.3k17.7k21.2k212223242526

Mean waiting time

-21 days vs 2021
7095119144212223242526

Procedures completed through June

+37,5% vs 2021
20k25k30k36k212223242526

Distribution by sex

Percentage of men and women among patients waiting in each annual snapshot. Each bar totals 100%.

MenWomen
2021
38.5% · 61.5%
2022
37.7% · 62.3%
2023
37.5% · 62.5%
2024
37.8% · 62.2%
2025
37.2% · 62.8%
2026
37.4% · 62.6%
Territory

Geographic distribution

To compare the territory consistently between 2021 and 2026, hospitals are grouped into 13 fixed geographic areas. The CatSalut health region published for each record is retained in the dataset.

Size = patients · colour = waiting days
Territoryal distribution
Indicative geographic diagram; the areas are not official administrative polygons.
Barcelona ciutat
Vallès Occidental
Badalona / Barcelonès Nord
Baix Llobregat
Maresme
Catalunya Central
Camp de Tarragona
Vallès Oriental
Penedès / Garraf / Anoia
Girona
Lleida
Terres de l’Ebre
Alt Pirineu i Aran
shorter waitlonger wait
04575105150220+
Areas by number of patients
June 2026
Barcelona ciutat
5,787
76 d
Vallès Occidental
2,671
247 d
Badalona / Barcelonès Nord
2,544
208 d
Baix Llobregat
1,795
41 d
Maresme
1,012
122 d
Catalunya Central
997
48 d
Camp de Tarragona
981
61 d
Vallès Oriental
929
65 d
Penedès / Garraf / Anoia
904
78 d
Girona
882
53 d
Lleida
858
72 d
Terres de l’Ebre
192
112 d
Alt Pirineu i Aran
48
29 d
Hospitals

Volume and waiting time

Each point is a hospital. The horizontal axis shows days and the vertical axis shows patients waiting. Both axes keep the same scale in every year. Values above 300 days or 2,000 patients are pinned to the corresponding edge without compressing the rest of the chart.

Map and scatter plot share the selected year
Hospitals · 2026
Click any point to open its 2021–2026 trend.
050100150200250≥300≥2,0001,5001,0005000Average waiting time (days)Patients waiting
colour = waiting time>300 days, pinned to edge>2,000 patients, pinned to edge
One or more centres over time

Trend by hospital

Select a hospital and add up to two more if required. The three charts use the same hospitals and colours to make comparisons easier.

Select a hospitalType part of a name —for example “Terrassa”, “Germans” or “Clínic”— and select a match from the list.
Compare trendsMain hospital + up to two additional centres.

Patients waiting

June snapshot for each year

Mean waiting time

Waiting days for pending patients

Procedures completed through June

Cumulative figure published in June
Full dataset

All data

View a specific year or switch to “Trend” to see six years for each hospital as sparklines. “Compare trend” sends the centre directly to the previous section.

View
Download normalized JSON
50 centres · June 2026Up to 3 hospitals in the trend comparison
CompareHospitalStable areaWaitingDaysProcedures through JuneWomenvs previous year
Barcelona ciutat3,943844,99662.8%
Badalona / Barcelonès Nord1,78724264566.9%
Vallès Occidental1,2603871,17865.6%
Vallès Occidental89615176764.3%
Maresme81513758459.9%
Baix Llobregat710391,00165.2%
Vallès Oriental6357057259.1%
Badalona / Barcelonès Nord63214653362.7%
Lleida5806574459.7%
Vallès Occidental515701,29762.1%
Baix Llobregat509441,40261.7%
Catalunya Central470421,25961.5%
Barcelona ciutat4595582164.9%
Barcelona ciutat4375170164.8%
Catalunya Central4324975562.0%
Barcelona ciutat4039499061.0%
Camp de Tarragona3267015964.7%
Camp de Tarragona3213286966.7%
Baix Llobregat321301,25363.2%
Penedès / Garraf / Anoia2845147363.0%
Barcelona ciutat2644378559.5%
Girona2576671265.4%
Penedès / Garraf / Anoia2535434458.9%
Girona2375767355.3%
Lleida2286139355.7%
Penedès / Garraf / Anoia21114138362.6%
Maresme1975867754.8%
Camp de Tarragona1919030564.9%
Barcelona ciutat1804327763.3%
Vallès Oriental1756929154.3%
Girona1734062465.9%
Penedès / Garraf / Anoia1568027550.6%
Baix Llobregat1544370362.3%
Camp de Tarragona1436543958.0%
Badalona / Barcelonès Nord1253912454.4%
Vallès Oriental1193432263.0%
Girona1154756663.5%
Baix Llobregat1016521652.5%
Barcelona ciutat1014316448.5%
Terres de l’Ebre1001708263.0%
Catalunya Central956819961.1%
Terres de l’Ebre715429962.0%
Girona535814356.6%
Lleida502088864.0%
Girona472714557.4%
Terres de l’Ebre21318661.9%
Alt Pirineu i Aran171710264.7%
Alt Pirineu i Aran15417066.7%
Alt Pirineu i Aran15266873.3%
Alt Pirineu i Aran1764100.0%
Methodology

How the data were prepared

The visualisation preserves the official totals and documents the transformations needed to compare six years consistently.

One annual snapshot: June

Only records for Endoscòpia esofagogàstrica —gastroscòpia— for June 2021, 2022, 2023, 2024, 2025 and 2026. This keeps the point in the year constant and supports a consistent year-on-year comparison.

The representativeness of June was checked against available March, September and December snapshots for 2022–2024 and March 2025. Across Catalonia, June is generally close to the average of the annual snapshots reviewed and preserves a highly consistent relative ordering of hospitals.

Stable geographic areas

CatSalut changed its territorial organisation during the period —for example, by creating the Penedès Health Region. Using those regions directly would introduce administrative breaks into the time series.

Each hospital is therefore assigned to one of 13 fixed areas. Area totals sum patients and procedures hospital by hospital; waiting time is aggregated using the number of patients waiting as weights. The CatSalut region published each year is retained in the dataset.

What each figure means
  • Patients waiting: people recorded on the waiting list in the published snapshot.
  • Mean waiting time: mean waiting time of pending patients, in days.
  • Procedures completed through June: cumulative figure within the year through the June snapshot. Comparisons always use the same period.
  • Sex: percentage of men and women on the pending list.
Source, visual exclusions and limitations

La font és la publicació oficial de CatSalut diagnostic-procedure waiting lists. This page is an independent visualisation and does not replace the official source.

Clínica Salus Infirmorum is not shown in hospital visualizations because it appears only once, in June 2023, with 36 patients. The record remains in the source dataset and official totals.

The data do not report new entries to the list, clinical priorities, referrals, room availability or the causes of changes. The page therefore describes the series without attributing causality.

Catalonia totals are the totals published by CatSalut for each June snapshot.

Normalisation changes names and geographic groupings where necessary for comparison, but does not alter the published values.

How to interpret these data

This visualisation is based on public data published by CatSalut from the healthcare waiting-list system (LES). Figures reflect information reported and updated by the centres and may be subject to later corrections or data-quality incidents communicated by CatSalut.

Urgent diagnostic procedures are not included in this monitoring. Scheduling is prioritised according to clinical and social circumstances, including severity, the risk associated with delay and other clinical criteria. A hospital’s mean waiting time is therefore an aggregate figure: it does not predict an individual patient’s wait or assess quality of care.