Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.

Huma: Digital remote patient monitoring using blood pressure and blood sugar devices in combination with a smartphone app ('the Huma app'). Participants are provided with home monitoring devices and download the Huma app. Data recorded via the Huma app is self-reported and includes activity data, diet information, blood glucose measurements, blood pressure measurements, weight, and the Diabetes Distress Scale.

Video group consultations: Each patient is invited to attend a total of three VGCs during the 12-weeks lasting approximately one hour and 15 minutes each. Each session is facilitated by a Practice Nurse (PN) and consists of 6-10 people with T2DM. The self-reported Huma app (see below) and patient EPR data are used to populate a "Discussion Dashboard" which is used in each VGC to facilitate discussion. During the first VGC session, patient goals are discussed and adjusted in a group setting with topics relevant to their condition covered by the PN. Between each VGC session, patients spend time working on their goals and continuing to enter self-reported metrics into the Huma app. During the second and third VGC sessions, each patient is discussed, along with their performance against agreed goals.

KNOW Diabetes: Each patient is signed up to a series of educational email campaigns to complement the VGC sessions and provide broader education around diabetes management. Patients receive two emails per week during the 12-week service on a variety of topics.

This study will create a matched control group using propensity score matching (PSM), a quasi-experimental method used to mimic the characteristics of a randomised control trial that has been shown to reduce biases. PSM uses statistical techniques to construct an artificial control group by matching each study participant with a non-treated participant of similar characteristics. PSM computes the probability that a person would enrol in a program based on pre-defined characteristics, giving a 'propensity score'.

Standard of care: Normal primary care service provided to matched control group.