Mauro Laudicella and Paolo Li Donni "The Dynamic Interdependence in the 
Demand of Primary and Emergency Secondary Care: A Hidden Markov 
Approach", Journal of Applied Econometrics, Vol. 37, No. 3, 2022, pp. 
521-536.

The data used in this paper are the property of the Danish Ministry of
Health who do not permit open access. Hence the data cannot be lodged 
here. The data are held and managed by Statistics Denmark 
(www.dst.dk/en/). Enquiries concerning access to the data should be 
directed to Statistics Denmark (forskningsservice@dst.dk). The 
application process to obtain access to the data is described here 
https://www.dst.dk/en/TilSalg/Forskningsservice.

The study population examined by this study is part of a larger study 
population of health service users examined within the research
project "The price of Success" funded by the EU's Horizon 2020
research and innovation programme under MSCA grant No 8325. The study
population examined by this study can be replicated by the following
steps:

1. File an application to Statistics Denmark for a data extract
from the Danish National Patient Registry including all Danish
residents age 40 and over with an inpatient or outpatient hospital
visit reported in the calendar years 2000 to 2017. The application
should make a request for the data extract to be linked to data on
utilisation of primary care services and data on individual income and
socioeconomic status. The complete list of linked datasets is
available in the attached file "ProjektDB_STFSDU_adm_707684 datasets".
The complete list of variables is available in the attached file
"ProjektDB_STFSDU_adm_707684 variables".

2. From the data extract, select individuals with age >= 40 and
age >= 99 years old (age variable V_ALDER >= 40 and V_ALDER <= 99)
with an emergency admission in calendar years 2012 (type of admission 
variable C_PATTYPE=3) and with a primary diagnosis of diseases of the 
circulatory system (primary diagnosis variable A_ADIAG == I00-I99).

3. Merge data on emergency hospital admissions (type of admission 
variable C_PATTYPE == 3) and primary care visits (type of primary care 
visit SPEC2 == 70-75) occurred between 2013 to 2017 to selected 
individuals under point #2.

4. Exclude individuals who died between 2012 and 2017 (date of death 
variable DOD >= 31/12/2017)

Mauro Laudicella
mlaudicella [AT] health.sdu.dk