README file 
Information about your data

Title: Developing resources And minimum dataset for Care Homes’ Adoption (DACHA)
Creators:  
       Full name: Stacey Rand
       Full email address: s.e.rand@kent.ac.uk 
       Institution: University of Kent		
       Divisions: Care and Outcomes Research Centre (COReC)	       
       ORCiD: https://orcid.org/0000-0001-5843-220X 
       Contact email: s.e.rand@kent.ac.uk  
****** To request a copy please complete this online form: https://shorturl.at/uzGYv 
Source of funding that supported the data collection: National Institute for Health and Care Research (NIHR) Health Service Research and Delivery programme (HS&DR NIHR127234) 

Related works:
Goodman C, Akdur G, Irvine L, Burton J, Hanratty B, Killett A, Meyer J, Towers A-M, Gordon A, Carroll R, Rand S, et al (2026), Developing research resources and minimum data set for care homes' adoption and use (DACHA). Health and Social Care Delivery Research. https://www.journalslibrary.nihr.ac.uk/hsdr/GJCG8715
Gordon A, Rand S, Crellin E, Allan S, Tracey F, De Corte K, Lloyd T, Brine R, Carroll R, Towers A-M, Burton J, Akdur G, Hanratty B, Webster L, Palmer S, Jones L, Meyer J, Spilsbury K, Killett A, Wolters A, Peryer G, Goodman C (2025), Piloting a minimum data set for older people living in care homes in England: a developmental study. Age and Ageing. 54: afaf001 https://doi.org/10.1093/ageing/afaf001 
Rand S, Towers A-M, Allan S, Webster L, Palmer S, Carroll R, Gordon A, Akdur G, Goodman C (2024), Exploratory factor analysis and Rasch analysis to assess the structural validity of the Adult Social Care Outcomes Toolkit Proxy version (ASCOT-Proxy) completed by care home staff. Quality of Life Research. 33,1555-1567. https://doi.org/10.1007/s11136-024-03631-1 
Towers A-M, Rand S, Allan S, Webster L, Palmer S, Carroll R, Gordon A, Akdur G, Smith N, Burton J, Killett A, Hanratty B, Meyer J, Spilsbury K, Goodman C (2025), Cross-sectional study assessing the feasibility of measuring residents’ Quality of Life in English care homes and assessing the construct validity and internal consistency of measures completed by staff-proxy. BMJ Open;15:e090684. https://doi.org/10.1136/bmjopen-2024-090684 
Allan S, Rand S, Towers A-M, De Corte K, Tracey F, Crellin E, Lloyd T, Carroll R, Palmer S, Webster L, Gordon A, Smith N, Akdur G, Killett A, Spilsbury K, Goodman C (2025), Factors associated with care home resident quality of life: Demonstrating the value of a pilot Minimum Data Set using cross-sectional analysis from the DACHA study. Health and Quality of Life Outcomes. 23 (33). https://doi.org/10.1186/s12955-025-02356-0 
Crellin E, De Corte, Tracey F, Burton JK, Rand SE, Allan S, Wolters A, Goodman C, Lloyd T. (2026) Traversing the data landscape: insights and recommendations from a case study using novel linkage of care home and health data. BMJ Health & Care Informatics, 33;e101600. https://doi.org/10.1136/bmjhci-2025-101600
Akdur G, Irvine L, Rand S, Towers A-M, Webster L, Spilsbury K, Jones L, Goodmand C (2024) National stakeholder consultation on how to measure care home residents’ quality of life, Health and Social Care Delivery Research. https://doi.org/10.3310/NPYT7562  

Full URL: 
https://www.journalslibrary.nihr.ac.uk/hsdr/GJCG8715
https://doi.org/10.1093/ageing/afaf001
https://doi.org/10.1007/s11136-024-03631-1
https://doi.org/10.1136/bmjopen-2024-090684
https://doi.org/10.1186/s12955-025-02356-0

Type of data:
o Dataset: Data encoded in a defined structure X
Collection period: 
       From: (2023/03/01)
       To: (2023/06/30)
Geographic location of data collected: England, United Kingdom  

Files to upload
  	dacha_data.csv   		Format: .csv file   Licence: CC BY 
   	dacha_data_dictionary.xls 	Format: .xls file   Licence: CC BY 
	README file.txt 		Format: .txt file   Licence: CC BY 


Description of content:
The dataset comes from a pilot minimum dataset of older adult care home residents in England, UK. 
The MDS includes data from (1) digital social care records (DCSRs) collected by care homes* and (2) routinely collected health and social care administrative data. 
*The study involved care homes using DCSR software from two DCSR software providers. We worked with the software providers to extract data for participating residents / care homes.   
The original research aims were to (1) understand the feasibility of generating a care home minimum dataset from routinely-collected data (2) to explore the feasibility and acceptability of inclusion of individual-level quality of life outcome measures – as well as the psychometric properties of these QoL measures to guide selection for the MDS and (3) to show the potential use and benefits of a MDS. 
This anonymised version of the MDS pilot dataset contains two waves of data (Wave 1: March-June 2023 and Wave 2: October to Nov 2023). The study collected data from 996 residents of older adult care homes. This dataset includes data from 705 residents only, due to restricting to residents in Wave 1 with an age >= 65 years. 

Study protocol: https://doi.org/10.1136/bmjopen-2023-071686 
Main MDS paper: https://doi.org/10.1093/ageing/afaf001
Overall study report: https://www.journalslibrary.nihr.ac.uk/hsdr/GJCG8715

Availability of this file:
Immediately openly available online
			No (upon request via online form: https://shorturl.at/uzGYv) 		
Under embargo
			No