Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04878744 |
Other study ID # |
145500 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
April 3, 2017 |
Est. completion date |
May 29, 2018 |
Study information
Verified date |
May 2021 |
Source |
University of Sheffield |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The aim of the study is to understand how different aspects of city living affect wellbeing.
The investigators hope that the results from the study will inform town planners and policy
makers about how city spaces can be designed for better health and wellbeing of residents.
What? This study will test the use of a new intervention amongst adults with common mental
health difficulties such as depression and anxiety. The intervention will be a smartphone app
which will prompt users twice a day to notice and record the good things about green spaces
or built spaces around Sheffield. Previous research has shown that engaging with the natural
environment can benefit health and mental wellbeing. Who? Adults over 18 years old, who have
a mild to moderate common mental health problem (such as depression or anxiety), and who own
a smartphone will be able to participate. Where? Participants will use the app as part of
their day to day routine as they travel around Sheffield and the surrounding area. The app
will prompt them to notice green or built spaces around them. How? The app will be delivered
as a 'green prescription' which means that health professionals will tell their patients
about the intervention. If patients choose to take part, they will be allocated at random to
either noticing the good things about green spaces or the good things about built spaces.
This is to control for whether noticing green space or noticing other aspects of city life
affects health and wellbeing. Patients will complete questionnaires about health, mental
wellbeing and their feelings about nature, before, after and 3 months after using the app for
one month.
Description:
The proposed feasibility study is part of a larger programme of research which asks broadly
how the investigators can improve health and mental wellbeing through urban nature. The
feasibility study forms part of Work Package 3 delivered by the University of Derby. The main
study in work package 3 will recruit over 1,000 Sheffield residents to evaluate an app-based
intervention to improve wellbeing through prompting people to notice the good things about
nature. For the feasibility study, the investigators will pilot a green prescription version
of this intervention with 100 adults who have common mental health difficulties. The
feasibility study asks the question of how feasible it is to recruit patients to the study
using a green prescription method of clinician signposting (measured through referral numbers
and referral source). It also asks whether there are any health and mental wellbeing benefits
to adults with common mental health problems (measured through health and mental wellbeing
questionnaires completed at pre, post and 3 months follow-up).
People who are exposed to nature, or feel connected with it, present higher levels of general
health and subjective wellbeing. Individuals with mental health problems have been shown to
particularly benefit from nature-based interventions . In a recent Natural England report,
evidence from a range of nature-based interventions for mental health patients and found the
following benefits: i) reduced depression and anxiety; ii) increased positive affect; iii)
increased social contact; and iv) increased mental wellbeing.
At present, the knowledge about the beneficial effects of nature is insufficient to be
applied in a systematic way in health promotion and urban planning. There is a need to move
beyond cross-sectional evidence and natural experiments. Work package 3 aims to fill this
research gap through a largescale controlled study, which will employ a robust
quasi-experimental methodology to look at the health and wellbeing benefits of engaging the
public with urban nature. To go beyond cross-sectional data, the study will randomise
participants to an app-based intervention which will either prompt them to notice the good
things about green spaces or to an active control condition which will prompt them to notice
the good things about built spaces.
As part of work package 3 the investigators will conduct a feasibility study assessing a
green prescription version of the app-based intervention for adults with common mental health
problems. This will help estimate the wider potential for using the nature-based intervention
in a clinical population. 'The natural environment has potential to offer cost-effective
solutions to address health inequalities and produce positive physical and mental health
outcomes'. Some of the data collected will be used to estimate QALYs and to look at cost
utility of the intervention in this group of patients.
The research proposal was developed by the principal investigator (Prof. Anna Jorgensen,
Sheffield University) and collaborators from Sheffield University, Derby University and
Herriot-Watt University. The team is multidisciplinary encompassing public health, landscape,
architecture and design, psychology and mental health, and economics. Internal peer-review
was sought from experts in this field of research before submitting the research bid and the
bid was reviewed and approved for funding by the Natural Environment Research Council.
Input into study design has also come from an advisory panel which includes several
clinicians, one of whom has expertise in green prescriptions and social prescribing (Dr
William Bird) and stakeholders (e.g. The Wildlife Trust, TCV Green Gyms and the Centre for
Sustainable Healthcare). Stakeholders and community groups have also given us feedback on the
project at a project launch meeting and those of whom provided contact details to stay
involved, have been contacted and consulted about the green prescription. The investigators
have costed into the grant to have patient and public involvement in the app development. The
Recovery Enterprise (a Sheffield-based mental health organisation) will provide feedback on
the design and usability of the app and will be involved in field-testing of the app with us.
Recruitment For the recruitment strategy the investigators have consulted with the clinicians
on the advisory panel (Dr Liz Walton & Dr William Bird), and with Sheffield-based GPs, CCG,
and IAPT professionals and third sector organisations offering green prescriptions or social
prescriptions. The investigators have also taken guidance from two recently published Natural
England reports on the topics of nature-based interventions for mental health care and good
practice in social prescribing for mental health.
The investigators will be asking Sheffield-based GPs, IAPT clinicians and third sector
organisations (such as People Keeping Well, Voluntary Action Sheffield, The Recovery
Enterprise and Flourish) to signpost eligible participants to the study website via posters,
leaflets and brief discussions about the study. Participants who are interested in taking
part will be signposted to the study website where they can read more about the research aims
and the app-based intervention. A copy of the participant information and consent sheet is
available on the study website and on the app itself. Contact details for the lead researcher
are available should participants have any further questions. For transparency about what
data will be collected, why it will be collected and how it will be processed and stored, the
investigators have written a privacy impact assessment (as recommended by the ICO guidance on
mobile app security) and this is available to view from the website (http://iwun.uk/).
If participants decide they would like to take part, they can download the app onto their
phone where they will again be presented with the information and consent sheet, and study
instructions. Participants will consent by tapping 'yes I consent' on their phone. This is a
standard procedure for obtaining consent in similar app-based research studies. It is made
clear to participants in the information sheet that if they change their mind about
participating, they can withdraw from the study without giving a reason and can withdraw
their data anytime before the 1st of January 2018.
Consent the investigators will be asking Sheffield-based GPs, IAPT clinicians and third
sector organisations (such as People Keeping Well, Voluntary Action Sheffield, The Recovery
Enterprise and Flourish) to signpost eligible participants to the study website via posters,
leaflets and brief discussions about the study. Participants who are interested in taking
part will be signposted to the study website where they can read more about the research aims
and the app-based intervention. A copy of the participant information and consent sheet is
available on the study website and on the app itself. Contact details for the lead researcher
are available should participants have any further questions.
Participants will be asked to indicate that they consent to participate in the study by
tapping 'I agree' in the app. This comes after reading the full participant information
sheet. By clicking "I agree" participants confirm that:
- They are at least 18 years old
- They know what information they'll be sending to us, why the investigators are
collecting it, and what the investigators will use the information for
- They agree to send this data to us
- They agree to us getting and storing information about their geographical location using
GPS
- They understand participants can leave the study at any time
- This is their mobile device
Participants will be able to review the information sheet at any time either in the app by
clicking the 'About' option in the menu, or on the study website (http://iwun.uk/). The
information sheet details what the study is about, who can take part, what is involved in
taking part and how long it will take, what data will be collected (including information
collected using the phone sensors), what will happen to the data, information about
confidentiality, anonymity, withdrawal, and who to contact if participants have further
questions. For transparency about what data will be collected, why it will be collected and
how it will be processed and stored, the investigators have written a privacy impact
assessment (as recommended by the ICO guidance on mobile app security) and this is available
to view from the website (http://iwun.uk/).
Risks, burdens and benefits The main risk to participants is securely storing their
anonymised data. The investigators are aware of risks to data held on smartphones through
previous literature. The investigators have taken advice from the app developers, the UK Data
Centre and have read the guidance document from the ICO on the best procedures for storing
app data securely. This is as follows: Data in the phone will be secured using the normal
phone's methods (password, digital fingerprints, etc.). Access will happen through the unique
identifier provided by Google and Apple (e.g. Google and password or a Sheffield mapping app
password) so the data collected will only be accessible by the right owner. Through these
procedures the investigators will reduce the risk of data being accessed by third parties.
Measures will be taken to prevent location data being misused. The frequency of location data
collection is the minimum necessary to answer the research questions about exposure to green
and built spaces. Location will be tagged by the app i)every 30 minutes; ii)when participants
enter and exit a publicly accessible green or built space; and iii)to prompt participants to
notice nature/built environment as they enter an area of green space/grey space (predefined
by geofences provided by work package 1). For a selection of more prominent city green spaces
the investigators may also ask participants permission via the app if the investigators can
track their location as they move through the park (every 20 seconds). This will allow some
case study analysis of what particular green space features (e.g. woodland, grassland etc)
participants tend to be drawn to. The participant will decide the duration to allow prompts
to be sent in when they set-up the app. Participants movements outside their selected hours
will not be tracked. In this way the investigators are collecting the minimum data on
participant location to allow the study questions to be answered. This allows us to analyse
which environments are most beneficial to health and wellbeing.
The investigators have a written contract between (University of Derby) and the app
developers (Furthermore) to ensure that data protection requirements for the study are met.
Information about the study, data collection, storage and who to contact for further
information will always be available to participants through the app and the study website.
The investigators also have a privacy impact assessment which the investigators have shared
with the app developers, the database custodians (Derby University) and participants via the
website. All researchers and app developers have undergone data security training with the
University of Sheffield and researchers handling personal data have up to date GCP training
and DBS clearance. Participants will be allocated at random to either the intervention
condition of noticing the good things about nature or the control condition of noticing the
good things about built spaces. The investigators expect both of these conditions to be
beneficial to wellbeing as they both get participants to notice and reflect upon the good
things in their surroundings. However, the investigators do expect noticing green spaces to
have a greater beneficial effect given previous literature.
The information sheet informs participants that the data collected are confidential and
anonymous. The investigators are not collecting any personal data (i.e. data that would allow
the identification of that person)other than ethnicity. The investigators are collecting the
minimum required data to answer the research questions.
The privacy impact assessment details what data will be collected, why it is being collected
(with justification from previous literature) and how the data will be processed and stored.
This is available to participants through the study website.
Principle 1 - Justify the purpose(s) for obtaining the information. The research question
asks whether urban nature can improve health and wellbeing, and asks what type of natural
environments provide the greatest benefit. Hence the investigators will collect questionnaire
data on health (EQ5D) and wellbeing (Recovering quality of life scale-ReQoL & Types of
positive affect scale-TPAs). Two of these scales (EQ5d & ReQoL) will also be used to estimate
QALYs and conduct a cost utility analysis. To assess whether the app is having the desired
intention of increasing engagement with the natural environment, the investigators will
measure nature connectedness (Nature connectedness scale & single item Inclusion of Self in
Nature scale). These questionnaires will be completed at pre, post and 3 months follow-up to
using the app.
The app will prompt participants once a day to notice and record the good things about green
spaces or built spaces. As part of the intervention participants write notes about these good
things at the end of each day. Participants are given the choice of allowing the app to track
their location every 30 minutes during the day and whenever they enter and exit a publicly
accessible green or built space. This provides data to answer the research question about
what exposure participants have to green or built space during their day and which type of
natural or built environments provide the greatest wellbeing benefits.
When participants enter their daily notes they will be asked 4 questions about context e.g.
were they alone or with others, were they exercising or simply walking through a place, how
did they feel about that place, what was the variety of species like. These contextual
influences have been shown to act as moderators between accessing green spaces and wellbeing.
Hence these items will be used in analyses to assess the context in which wellbeing benefits
are gained. Other potential moderators will be asked at baseline, these include age, gender,
ethnicity, postcode (1st 4 digits only), access to a garden and previous connection with
nature.
The tracking data is potentially quite sensitive data which is why the investigators have
taken advice from several app developers (who are experienced in this type of app that uses
tracking) about how to collect and securely store this data. The investigators have also
taken advice from the UK Data Centre and have followed guidance from the Information
Commissioners Office (ICO) document 'Privacy in mobile apps: Guidance for app developers'.
The investigators have chosen to collect the minimum tracking data to answer the study
questions. Geofences of publicly accessible green and built spaces will be programmed into
the app. As participants pass through these geofences the app will record their location.
This will give us an estimate of their exposure to green and built spaces throughout the day
and allow prompts to occur when the participant is in a green or built space. When a
participant then walks near to one of these geofences the phone will prompt them to notice
the green or built space around them. The app will also record participants location every 30
minutes to gain information about general exposure to indoors/outdoors and green/built space
throughout daylight hours.
Principle 2 - The investigators will not collect any person-identifiable data in this study.
None of the demographics data collected, or the participants partial postcode are enough
alone or necessarily in combination to identify an individual with any certainty. Tracking
data can be sensitive and so the investigators are only collecting the minimum location
tracking data to answer the study questions. Ethnicity data is deemed personal by the Data
Protection Act and will therefore be stored in a separate database to the remainder of the
data and will be linked for analysis using an anonymised linking ID code.
Principle 3 - See principle 2. The investigators will not collect any person-identifiable
data and any sensitive data such as ethnicity, will be held in a separate database to other
data.
Principle 4 - See principles 2 & 3.
Principle 5 - The investigators are not collecting any person identifiable data. A data
protection plan has been written by the researchers and this forms part of the contract
between the researchers and the app developers. The investigators have also written a privacy
impact assessment which has been shared with the app developers, database custodians (Derby
University) and participants via the study website. The researchers and app developers have
undertaken data security training with the University of Sheffield and the lead researcher
has valid GCP certificates and has applied for basic DBS clearance.
Principle 6 - The investigators are aware of risks to data held on smartphones through
previous literature. The investigators have taken advice from the app developers, the data
protection act 1998, the UK Data Centre and an ICO guidance document on the best procedures
for storing mobile app data securely. The investigators will not be collecting any
identifiable data or tissue samples. The investigators will conform with Article 8 of the
European Human Rights Convention ensuring that the collected and processed information will
not be used by a public authority to interfere in the private life of a person unless this is
necessary for national security or public safety. In such a case, The investigators will
comply with the duty of having to alert public authorities to the ethical and practical
implications of the research results. Conflict of interest The lead researcher in this study
and the study team are all researchers/lecturers and not healthcare professionals. There is
no conflict of interest in this research.
At the end of the study participants will be sent a debriefing statement via the app. This
will thank participants for their participation, give further information of the studies
aims, provide information about where the results from the study can be found and details of
any public dissemination events, provide contact details for the lead researcher, and inform
participants that they can delete the app from their smartphone if they wish.