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Table 4 Key content relating to the Theoretical Domains Framework for each indicator

From: Using the Theoretical Domains Framework (TDF) to understand adherence to multiple evidence-based indicators in primary care: a qualitative study

 

Risky prescribing

Treatment targets in type 2 diabetes

Anticoagulation in atrial fibrillation

Blood pressure targets in treated hypertension

Knowledge

GPs more knowledgeable compared to other staff

Awareness of drug interactions and patient history

Variable awareness of recommended HbA1c levels

Important to know the rationale and evidence behind recommendations

Guidance generally familiar as standard practice

Indicators familiar because of QOF

Important to have access to specialist knowledge

Treatment often initiated in secondary care

Lack of staff experience in starting treatment given relatively infrequent clinical presentation in primary care

Indicators familiar because of QOF

Indicators ingrained as ‘bread and butter’ of general practice

Skills

Communication skills for effective patient counselling

Limited time to use skills (e.g. communication)

Communication skills for effective patient counselling

Having technical skills such as medication titration

Skills for monitoring and managing blood pressure more common than those for HbA1c

Communication skills for effective patient counselling

Communication skills for effective patient counselling

Technical skills such as using blood pressure machines, obtaining reliable readings and titrating treatment

Social professional role and identity

Prescribing perceived to be mainly the role of GPs. Practice nurses viewed their input as restricted to reviewing medication if required

GP autonomy to deviate from guidance

Threat of litigation reinforces nurse prescribers’ adherence to guidance

Recognition of role of pharmacist

Prescribing practice driven by perceived patient needs and professional ethos rather than guidance

Refer to diabetic lead if patient taking multiple medications

Clarity of roles and responsibilities

Tailoring care to patient needs and professional ethos more important than achieving strict targets

Tailored patient care can both help and hinder adherence (e.g. in elderly patients and patients with multiple conditions)

Role more focused on long-term rather than acute care as atrial fibrillation often initially presents to secondary care

Hospitals not always as up to date with guidance as they should be, resulting in wrong or contradictory advice for primary care

Clinicians with more cardiac expertise tend to be responsible for most patients

Practice nurses viewed their input as restricted to reviewing medication if required

Clarity of roles and responsibilities

Professional ethics and threat of litigation promote adherence

Tailoring care to patient needs and professional ethos more important than achieving strict targets

Beliefs about capabilities

Clear guidance and access to specialist knowledge and training

Adequacy of information technology system support

Confidence in ability to achieve targets depends on patient factors such as attendance and motivation

Many clinicians confident with blood pressure and cholesterol but less so with HbA1c and any associated medication changes

Organised links between primary and secondary care

Confidence in diabetes lead

Information technology capability to identify patients not achieving targets

Confidence related to availability of specialist staff, training and updates

Supportive, organised links between primary and secondary care

Confidence helped by relative simplicity of guidance and decision support

Confidence hindered by patient factors and limited resources for referrals

Beliefs about consequences

Ensuring quality of care, patient health and patient safety

Reputation for following guidance reflects well on practice and professional

Perceived threat of litigation to nurse prescribers if guidance not followed

Immediate financial and time costs (prescribing budget, increased appointments, auditing) outweighed by the potential longer term NHS cost reduction

Achieving targets linked to quality of care and better patient outcomes

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Job satisfaction in achieving targets

Perceived pressure to achieve targets undermines rapport with patients

Achieving targets requires time and increases workload

Costs for patients and side effects from additional prescribing to achieve targets

Ensuring quality of care, patient health and patient safety

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Strict adherence to guidance inappropriate for some patients (e.g. elderly and those on multiple medications)

Ensuring quality of care and patient health

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Perceived increased workload associated with following guidance (e.g. consultation length)

Motivation and goals

Adherence ensures quality of care, patient health and patient safety

Promoting a positive reputation for the practice

Guarding against litigation

Incentivisation of good prescribing

Generally high motivation to follow guidance

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Achieving targets linked to quality of care, better patient outcomes and job satisfaction

Ensuring quality of care, patient health, and patient safety

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Ensuring quality of care, better patient health and job satisfaction

Achieving targets associated with short term gains in QOF income and longer term NHS savings

Generally high motivation to follow guidance

Memory, attention and decision processes

Information technology systems often not in line with intuitive cognitive processes

Decision aids and prompts for drug interactions

Patient history provides important information for decision making

Automatic cognitive processes useful in high-risk situations

Awareness of patient characteristics such as older age can influence decision of whether or not to aim for targets

System prompts useful for embedding targets into memory

Relatively infrequent presentation of atrial fibrillation hinders commitment of guidance to memory

Prompts and the ability to view guidance support decision making

High prevalence of hypertension helps embed guidance into routine practice

Patient characteristics (e.g. older age) can influence tailored care to meet patient’s needs

Guidance considered easy to retain

Prompts useful for supporting adherence to guidance

Environmental context and resources

Practice nurses pick up medication issues during reviews but lack knowledge and suitable templates sometimes impede this

Prescribing policies, support and advice available from CCG medicines management teams and pharmacists

Lack of time (e.g. training and education) and decision support. Inadequate information technology systems and communications with secondary care

External support from CCG, information technology systems and training opportunities

Low staffing levels and high workloads

Communication between primary and secondary care could be improved to support achievement of targets

Communication systems and established lines of responsibility within the practice are needed in order to identify potential issues around professionals’ adherence

Inadequate communication between primary and secondary care

Time and workload, especially as current information technology systems do not support easy identification of eligible patients

Established lines of responsibility, clear templates and access to training and education (e.g. motivational interviewing and titration for nurses)

Limited availability of home blood pressure machines, heavy workload and short duration of consultation makes it difficult to schedule a specific time to measure blood pressure which contributes to difficulties in achieving targets

Social influences

Patient preferences

General approach and support of practice team

Pressure from QOF to achieve targets

Practice managers aware that achieving targets is linked to practice QOF performance

Benchmarking performance against other practices

Overall team approach in practice

Pressure from QOF to achieve targets

General approach and support of practice team

Patient preferences

Pressure from QOF to achieve targets

Team factors and support within and outside the practice (e.g. network meetings

Benchmarking performance against other practices

Patient preferences

Emotion

Emotion generally not considered an influence

Discomfort when guidance conflicts with patient-centred care

Feeling constrained by guidance

Feelings of caution and worry when prescribing additional medication

Workload-related fatigue restricted ability to have in-depth conversations with patients

Achieving targets lead to job satisfaction

Adverse impacts of fatigue on achieving targets

Frustration from patient factors (e.g. resistance, low motivation) and missing targets

Perceived pressure from targets which can generate tension between clinicians and patients

Frustration caused by complicated guidance making treatment difficult to explain to patients

Limited time, mood and fatigue result in deferring decisions to further consultations

Discomfort with pushing adherence amongst elderly patients

Emotion generally not considered an influence

Achieving targets lead to job satisfaction

Fatigue and workload influence whether targets were considered at every consultation

Unease created by patient reactions to additional prescribing

Behavioural regulation

Computer prompts for drug interactions, templates, audit and medication reviews

Problems associated with rapidly accessing and interpreting full patient records

Computer prompts not always useful – can be overwhelming

Help from computer prompts, recall systems, clear protocols and templates

Action sequences helpful (e.g. reviewing patient medical notes and setting electronic reminders for action to self within patient record)

Help from computer prompts, recall systems, clear protocols and templates

Limited ability of current computer prompts to support adherence to guidance

Help from computer prompts, recall systems, clear protocols and templates

Patient risk factors act as prompts

Opportunistic reviews of patient records

Computer prompts not always considered useful and potentially distract from main purpose of consultation

  1. CCG Clinical Commissioning Group, QOF Quality Outcomes Framework