Correspondence to Dr Vijayaprakash Suppiah; [email protected]
Strengths and limitations of this study
A strength of the study is the longitudinal design with quarterly metabolic monitoring during the 12-month follow-up.
Post-intervention interviews with pharmacists and consumers will consider intervention feasibility and acceptability from multiple perspectives.
One strength is the strong involvement of both practising and academic pharmacists in the conceptualisation of the study.
As this feasibility study will be implemented in a small number of sites, findings may not be generalisable to pharmacy practice in other jurisdictions (eg, Europe and the USA).
The study focuses on metabolic syndrome, therefore, it generates limited data on other adverse effects associated with long-term use of second-generation antipsychotics.
Introduction
Mental illness is often associated with considerable disability and reduction in quality of life.1 Individuals with severe mental illness have a reported 10–25 years reduction in life expectancy compared with the general population.2 Leading causes of death are often related to physical health conditions, including cardiovascular diseases, diabetes and hypertension.2 3 Metabolic syndrome (MetS) refers to the simultaneous elevation in weight, blood pressure, blood glucose and lipid levels. Individuals with MetS are at significantly higher risk of cardiovascular events and premature death.4–7
The prevalence of MetS is high in mental health consumers. An Australian survey studying individuals with psychotic illness found that nearly 50% of respondents meet the criteria for MetS.8 Research indicates that individuals with mental illness are at an increased risk of developing MetS.9 While the reason for the increased risk of MetS in this cohort may be multifactorial, pharmacological agents play a key role. Commonly prescribed agents such as second-generation antipsychotics (SGAs) can further amplify the risk of developing MetS.5 10 Despite these known adverse effects, SGAs are currently the most effective treatment option for consumers with some forms of mental illness.10 Guidelines have highlighted the importance of regular metabolic monitoring in order to facilitate early identification of risk factors, allowing for the implementation of preventative strategies to minimise any long-term complications.11 12 Currently, metabolic monitoring rates are inadequate13; this is perturbing given the increase in prescribing of SGAs in Australia.14
A US-based psychiatrist survey found that while psychiatrists were aware of the metabolic consequences of SGAs, the monitoring of metabolic parameters, such as waist circumference was not routinely performed.15 Similarly, Roughead et al found that routine screening for MetS in this high-risk population was also inadequate within the Australian context.13 Psychiatrists often consider their primary role as providing clinical care in psychiatric symptoms control and are often reluctant to monitor for physical health.16 Furthermore, competing demands and lack of staff in medical clinics are other potential barriers.16 Mental health consumers also experience greater travel difficulties and report not having a regular medical professional. These are all significant barriers that can hinder mental health consumers in accessing metabolic monitoring.16 17 There is a need to improve access to physical health screening and there is potential for pharmacists' involvement in this area.18 19
Community pharmacists are the most accessible healthcare professionals and are often the first point of contact for patients. Evidence suggests that patients see their community pharmacist up to ten times more often than their general practitioners (GPs).20 Additionally, community pharmacists are a trusted source of advice and their education and specialised training enables them to offer clinical advice and provide recommendations regarding medication use and patient monitoring.21 22 In recent years, the scope of practice for community pharmacists often includes provision of professional services in the management of chronic medical conditions. There are currently several examples of successful pharmacist-led interventions, specifically in diabetes,23 24 hypertension,25 26 cardiovascular disease,27 28 asthma29 and weight loss.30 31 An umbrella review by Newman et al, revealed the positive impact of pharmacist-led interventions and further highlighted the capacity of community pharmacists in delivering chronic health management services.32
Previous community pharmacist-led mental health services have focused on the screening of depression and/or anxiety and medication optimisation.33 34 Screening for depression by pharmacists had a positive impact on patient care33 as well as providing opportunities for referral to appropriate healthcare professionals.34 A US-based pharmacist-led depression screening programme found that 60% of the pharmacist referrals resulted in modification or initiation of treatment.33 Furthermore, an Australian study demonstrated that the provision of goal-orientated medication support service by trained pharmacy staff resulted in significant improvements in overall perceptions of illness (p<0.001), the mental health domain of quality of life (p<0.001) and global satisfaction with medication (p<0.001).35 A literature review of 38 papers concluded that pharmacy professional services supporting consumers with depression can also led to a reduction of adverse effects, facilitate timely identification of potential and actual drug related problems and improvements in consumers’ quality of life.36
There have also been a number of successful community pharmacist-led services involving point-of-care monitoring and patient education. For example, Krass et al found that pharmacist-led medication management was able to significantly reduce blood glucose levels from 9.4 mmol/L to 8.5 mmol/L (p<0.01) over 6 months.37 In addition, Um et al highlighted the effectiveness of a community pharmacist-led weight management programme.38 This interventional study explored the effectiveness of a non-product centred pharmacy-based management programme over a period of 3 months and found that all programme completers had lost some weight (mean weight loss of 3.5 kg). The programme also showed a statistically significant reduction in the amount of self-reported sweet snacks consumption and increase in the consumption of vegetables and fruit in participants (p<0.05).38 However, both these studies had limited follow-up and the authors recognised that a longer duration was needed to ascertain the sustainability of changes identified.
The role of pharmacists in metabolic monitoring has been explored in a limited number of studies. For example, a study in the USA that implemented MetS screening in a community pharmacy generated positive results.39 Pharmacists involved in the study provided point-of-care testing of metabolic parameters and education for participants in a scheduled appointment. Participants were then followed up after 3–6 months to assess for lifestyle changes. This study found that participants were more likely to implement lifestyle modifications after an educational counselling session provided by a pharmacist. In addition, a systematic review found that pharmacist-led metabolic screening allowed for earlier diagnosis and timely referral to doctors.40 However, the authors concluded that further work is required to provide a more robust evidence of effectiveness of pharmacist-led MetS screening. Another systematic review also highlighted the paucity of metabolic screening studies conducted in primary care with community pharmacy teams.41
Hypothesis and aims
Utilising the high accessibility and relative convenience in consulting a pharmacist will show community pharmacies to be an appropriate destination for ongoing medication education and physical health monitoring for people living with a mental illness.
Primary aim
To determine the feasibility of a community pharmacist-led physical health monitoring for metabolic parameters in consumers with mental illness currently taking SGAs.
Secondary aims
To determine:
The number of referrals to GPs assessed by audit of pharmacist records.
Any change in weight assessed by digital weigh scales.
If the pharmacist-led intervention led to any change in the consumer’s attitudes towards their mental illness assessed by a telephone interview.
The outcomes of patient referrals to GPs by auditing pharmacist records.
Participant’s experience with the community pharmacist-led physical health monitoring, will be assessed by a telephone interview.
Any change in waist circumference assessed by tape measure.
Any change in body mass index (BMI=kg/m2). Weight will be measured by digital scale and height measured using stadiometer.
Any change in serum lipid levels assessed using a cholesterol measuring metre.
Any change in blood pressure assessed using a blood pressure monitor.
The risk of sleep apnoea using a validated questionnaire (STOP-Bang Questionnaire).
Methods
Study design
This single group trial will be a community-based feasibility study. The study will be conducted at community pharmacies in two states of Australia-South Australia and Western Australia. These pharmacies will vary in demographic population and physical location and will include both metropolitan and rural sites. As this is a feasibility study, there will be no set number of participants and all study participants will be recruited based on convenience sampling. Researcher (TB) is responsible in informing site pharmacists of any changes to the protocol during the duration study, should they occur.
The study will be conducted between May 2021 and March 2023. Training will commence early 2021 for community pharmacists participating in the study. The recruitment of study participants will take place between May 2021 and March 2022. Participants will be followed up for a duration of 1 year and the last data collection will be completed by the end of March 2023.
Eligibility criteria
Pharmacies
Community pharmacies that meet the following criteria will be eligible to participate as a study site:
Have a private counselling area in the pharmacy that is separate to the common pharmacy area.
Have pharmacist staff with the capacity to perform regular follow ups.
Participants
Consumers who meet the flowing criteria are eligible to participate in this study as participants:
Aged above or equal to 18 years old.
Able to give written informed consent.
Diagnosed with a mental illness and currently taking at least one SGA on a regular basis.
The exclusion criteria are as follows:
Pregnant.
Unable to speak and read English.
Participants can withdraw from the study at any point. During the consent process, participants will be informed of their rights and that withdrawal from the study will not impact on their ongoing care. If the participant chooses to withdraw, reason for withdrawal will be requested and documented for analysis. In addition, all data collected for the participant up to the time of withdrawal will be included in the study’s final analysis.
Intervention
The first phase of the study will involve preparing pharmacists for participation in the programme. Pharmacy sites will be recruited based on expression of interest. The involvement of pharmacists and participants in this study are summarised in figures 1 and 2, respectively.
Figure 1. Pharmacist’s journey map: illustrating the role of the pharmacists in the study. Figure 1 also specifies the procedure involved in each phase.
Figure 2. Patient’s journey map: illustrating the four core components of the study relative to time. Figure 2 also specifies the procedure involved in each component. GP, general practitioner; UniSA, University of South Australia’s.
Pharmacist training
Prior to the commencement of the study, site pharmacists will be required to complete an online training. The training will be facilitated by researcher TB and content will be delivered by multiple personnel who are experts within the area (dietician, psychologist, diabetes educator and peer practitioner). The content will be recorded and can be revisited by the pharmacists if desired. Site pharmacists will be required to complete an assessment on the completion of the training programme. In general, the training will endeavour to ensure competency in the following areas:
Understanding of study procedures and aims
How to use the electronic templates provided (ie, data collection sheet (online supplemental appendix 1) and referral letter).
Familiarisation with the physical health monitoring procedure guidelines.
Familiarisation with the STOP-Bang Questionnaire for sleep apnoea risk assessment.
When referral is required and need for documentation.
Effective communication with mental health consumers
Understanding of consumer’s experiences.
What to do in case of a mental health crisis.
Identifying online resources and support hotlines.
Counselling and strategic goal planning in lifestyle and behavioural factors for consumers with mental health.
Motivational interviewing skills including open-ended questions, affirmations, reflection and summaries.
Monitoring of metabolic parameters
Antipsychotics and their effect on metabolism and glycaemic management.
Confidence in collection of plasma glucose and serum lipid levels.
Safe disposal of sharps.
Interpretation of results.
Provision of basic nutritional advice
Identifying available online nutrition resources for patient information.
Identifying challenges in behavioural changes and strategies to support patients.
Introduction to Australian guidelines to healthy eating.
Procedures and materials
Participating sites will be given the follow materials:
Guideline for physical health monitoring procedure.
GP referral guidelines.
Electronic template of the patient physical health data collection sheet (online supplemental appendix 1).
Electronic template of the GP referral form.
Study information sheet.
Equipment for physical health monitoring (including cholesterol measuring metre and .glucose metre and/or panels).
Physical health monitoring
Program procedure
The guideline that will be provided for the physical health monitoring procedure will enable a streamlined approach towards conducting physical health monitoring (table 1). The guideline consists of the following components: (1) general assessment; (2) physical health assessment; (3) patient education and (4) referral. As this is a screening intervention, it will not be imperative for participants to fast prior to plasma glucose and serum lipid readings. In the case of plasma glucose levels, whether the levels were taken at fasting or randomly will be documented to allow for accurate comparison between follow-ups. If participants have a record of a recent blood results with relevant metabolic parameters measured, then these results can used in place of plasma glucose and serum lipid testing in-store. However, to be meaningful these results should be no longer than 2 weeks prior to the face-to-face consultation. The use of the patient’s own records (eg, electronic records) will only be done with the participant’s permission and appropriately documented in the data collection sheet (online supplemental appendix 1).
Table 1Outline of physical health monitoring service
Baseline | Follow-up | |
1. General assessment: | X | |
Medication history Medical history Lifestyle (ie, smoking, alcohol and other drug use) Personal family history for cardiovascular risk factors:
| ||
2. Physical health parameters: | X | X |
Weight Height Calculated BMI Waist circumference Plasma glucose levels Serum lipid levels Blood pressure | ||
3. Patient education: | X | See below |
Assess risk of obstructive sleep apnoea | NA | |
Discussion of relevant lifestyle factors | X | |
Set strategies and goals where appropriate | X | |
4. Booking of follow-up appointment or referral to GP | X | X |
Maker ‘X’ annotates if parameter should be measured at appointment.
BMI, body mass index; GP, general practitioner; NA, not available.
The STOP-Bang questionnaire will be used to screen participants for the risk of obstructive sleep apnoea (table 2).42 The STOP-Bang questionnaire is a widely used, concise and validated screening tool for obstructive sleep apnoea.43 44 Participants will be referred to their nominated GP if they present with parameters outside the normal range as per the GP referral guidelines. If the participant does not have a regular GP, the pharmacist will advise of local GP practices. All consultations will be undertaken in a private consultation area and measured parameters will be explained by the pharmacist to the consumer prior to commencement. If discomfort occurs at any time during the consultation, the pharmacist will cease until the participant wishes to recommence.
Table 2STOP-BANG Questionnaire with permission from Chung et al42
S Snoring | Do you snore loudly (louder than talking or loud enough to be heard through closed doors)? | Y/N |
T Tired | Do you often feel tired, fatigued, or sleepy during daytime? | Y/N |
O Observed | Has anyone observed you stop breathing during your sleep? | Y/N |
P Blood pressure | Do you have or are you being treated for high blood pressure? | Y/N |
B BMI | BMI more than 35 kg/m2 | Y/N |
A Age | Age over 50 years old? | Y/N |
N Neck circumference | Neck circumference greater than 40 cm? | Y/N |
G Gender | Gender male? | Y/N |
High risk of OSA | ‘Yes’ to three or more items | |
Low risk of OSA | ‘Yes’ to less than three items |
BMI, body mass index; OSA, obstructive sleep apnoea.
Pharmacists will obtain participant’s permission to contact their GP to make a referral. Results from the physical health monitoring will be faxed to the medical clinic as part of the referral and participants will also be given a copy of the results. The electronic templates for data collection will facilitate the accurate and timely collection of data. If a participant is to be referred, the site pharmacists will need to populate the referral letter to the doctor and supply a copy to the participant. An electronic copy will also be saved in the participant’s file for completion. In addition, should the pharmacist perceive the need for a comprehensive medication review to be done, then referral to accredited pharmacists can be made. All referrals will be documented in the data collection sheet (online supplemental appendix 1).
The pharmacist will discuss relevant lifestyle factors and together with the participants formulate individualised strategies and goals where appropriate. These goals will be documented in the data collection sheet (online supplemental appendix 1) and will be reviewed at subsequent follow-ups. New or modified goals can be set if necessary. In order to emulate an authentic practice setting, advice and strategies given to the participants will be up to the individual pharmacist’s discretion while concordant with established guidelines. All advice and strategies given will be documented. Pharmacists are prohibited from offering weight-loss products to the participants during the trial. Participants can elect to use weight-loss products at their own discretion, but this will be documented and noted during data analysis.
Lifestyle counselling advice can include (but are not limited to) the following:
Smoking cessation.
Advice on nicotine replacement therapies.
Dietary advice (eg, fruit and vegetable consumption, alcohol consumption).
Lifestyle advice (eg, physical activity).
Evaluation
Participant’s Interview
In order to explore participant’s attitudes and experience with the community pharmacist-led physical health monitoring, all participants will be required to complete an interview at the end of the study. This interview will be delivered via telephone by researchers (TB, VS and EH) from the research team. Data collected will include demographics (eg, gender, private health insurance status), attitudes towards their mental illness, in particular beliefs towards their medications using the Beliefs about Medication Questionnaire45 and experience with the intervention.
Pharmacist interview
To assess the feasibility of the physical health monitoring, all participating pharmacists will be asked to complete a telephone interview. Data collected in the telephone interview will include both Likert-scale and open-ended questions. Interviews will explore different aspects of the service and pharmacist experiences including perceived sustainability, associated barriers and impact on job satisfaction. In addition, demographics data, such as pharmacy location (rural vs metropolitan),46 whether the pharmacy is connected to medical centre or stand alone, workflow, workload (technician ratios, average daily number of prescriptions filled will also be collected).
Outcome measures
Primary outcome
The primary outcome is to determine the feasibility of the pharmacist-led intervention. Feasibility of the intervention47 will be reported as:
Recruitment and sample characteristics
Recruitment barriers and facilitators.
Recruitment rate.
Demographics of participants.
Eligibility criteria (suitability).
Relevance of intervention to population.
Procedures and measures
Viability and potential benefits of 3 monthly follow ups.
Point-of-care measures in a pharmacy setting.
Use of non-fasting glucose measure as a measure for participants.
Data collection procedures.
Intervention and acceptability
Retention and follow-up rates.
Time (eg, whether time commitment was a burden for participants and pharmacists).
Extent to which the intervention was acceptable to participants and pharmacists.
Resources and ability to manage intervention
Equipment sufficient to conduct the study and intervention.
Training requirements.
Preliminary evaluation of participants response
Potential value in the intervention.
Changes in outcome variables (ie, metabolic parameters).
Qualitative feedback.
The secondary outcome will be measured by:
Quantification of the total number of referrals to GPs made based on findings from the physical health monitoring.
Outcome of referral to GPs:
Whether the referral was actioned (eg, why/why not, intervention implemented).
Outcome of the referral could include but are not limited to:
Referral to other hospital or allied health professionals (eg, dietician).
Changes to pharmacotherapy (eg, dose changes, addition or cessation of medication).
Changes to appointment schedules (eg, more frequent appointments for additional monitoring).
Diagnosis of metabolic complications (eg, MetS, dyslipidaemia or diabetes).
Composite outcome of changes to modifiable risk factors (baseline compared with 3 monthly follow-ups):
Weight.
Waist circumference.
Blood pressure (systolic and diastolic blood pressure).
Blood glucose levels.
Lipid profile.
BMI.
Recruitment of participants
Site pharmacists will play an active role in the recruitment of their regular clients who meet the inclusion criteria. When a potential participant is identified, site pharmacists will invite the potential participant for a discussion in a private counselling area where they will be supplied the study information sheet and details of the study will be explained to them. Participants who give informed consent will then be booked in for an appointment for baseline measurements. Pharmacists will identify and enrol clients that met the inclusion criteria into the study. Participants will be given a leaflet which they can take/fax to their GP to inform them of their enrolment in the study. The leaflet will contain background information about the study as well as the contact details of the research team.
Data collection
Data for the physical health monitoring will be collected at five time points (baseline and 3-monthly thereafter for total duration of 12 months). Baseline data will be collected at the first physical health monitoring session. Data collected will include:
Sociodemographic information: client’s name, date of birth, age, gender, ethnicity, marital status, contact details, regular GP details.
Medical history: comorbidities, all prescribed and over the counter medication history.
Relevant lifestyle factors: other drug use and drinking and smoking status.
Physical parameters: blood pressure, height, weight, waist circumference and calculated BMI.
Glucose levels and lipid profile (via finger prick test).
Screening for obstructive sleep apnoea (questionnaire).
Any lifestyle counselling provided by pharmacist.
Any referral to GPs made and reason(s) for referral (if participant gets referred).
Reasons for withdrawal from study (if participant decides to withdraw).
At subsequent follow ups, the above data will be collected with the exception of sociodemographic information.
Data storage
All data will be stored in a deidentified manner. All study participants will be given a participant identification (ID) number and data will be recorded against this ID number. Only site pharmacists will have the key to identify site specific study participants. Deidentified electronic data collected by site pharmacists will be directly uploaded on the University of South Australia’s (UniSA) data storage system. The UniSA Research Data storage is a secure online data management system maintained by UniSA. Data will be backed up on a daily basis by the university. Only researchers and pharmacists directly involved in the study will have access to collected data. All data will be stored for 5 years after which all files will be securely destroyed. The final dataset will be solely accessible to the research team at UniSA for analysis and write up.
Data analysis
Qualitative outcomes
Thematic analysis will guided by the six-step method discussed by Braun and Clarke.48 This thematic analysis will be based on the responses to the telephone interviews after the final follow-up session. The analysis will study the participant’s perceived attitudes towards the convenience, accessibility and benefits of the community pharmacist-led intervention.
Quantitative outcomes
Quantitative outcomes will be analysed using IBM Statistics SPSS version 18.0.0. software. Univariate descriptive data analysis will be used to analysis the sociodemographic data for participants in the physical health monitoring and respondents to the survey. The number of referrals will be quantified and reported accordingly. To investigate the effects of the intervention on primary endpoints (baseline value compared with endpoint value), dependent t-tests will be performed. To test for changes over time, physical and serum parameters will be compared between each visit (from baseline up until last follow-up session) using regression analysis. Additional statistical tests may be employed as appropriate depending on the nature of the data and sample size. Statistical significance will be at α 0.05.
The study will track the participants’ progress overtime such that each participant will serve as their own control (ie, results from baseline will be used as a control). This will eliminate the risk of major confounding variables. However, if confounding variables were to emerge at a later stage, adjusting for confounding variables will be made after data collection by employing either stratification or multivariate methods depending on the data that have been collected.49 Regression analysis, in particular, logistic and linear regression could be also considered as they can both control for confounders and examine association between multiple covariates and numerical outcomes.
Patient and public involvement
Potential patients or other members of the public were not involved in the development of the study research question, outcome methods or design of this protocol.
Ethics and dissemination
The study has received ethics approval from the institutional Human Research Ethics Committee (Protocol no: 203433). Any expected modification to the protocol after the ethics approval will be submitted to the institutional HREC for approval prior to commencement. Written informed consent will be obtained from all participants prior to study enrolment. Records containing personal information will remain confidential and no information which could lead to ID of individuals will be released, unless required by law. The researchers will be involved in the preparation and drafting of the manuscripts. There is no intended use of professional writer. Findings will be published in peer-reviewed journals and presented at local, national and international meetings and conferences to disseminate the research to health professionals and patients. Participants’ names will not appear on any publication or be released without the participant’s prior written consent.
Author TB wishes to acknowledge the Australian Government for the Research Training Program domestic (RTPd) fee offset scholarship and the University of South Australia for the Postgraduate Award (USAPA).
Ethics statements
Patient consent for publication
Not applicable.
Contributors VS, EH and TB participated in the study design. FK provided professional input into study design. TB participated in the initial manuscript drafting of the protocol. VS, EH and FK participated in manuscript review and finalisation.
Funding This study was funded by University of South Australia, Cancer Research institute Investment Funding.
Competing interests None declared.
Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review Not commissioned; externally peer reviewed.
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
1 World Health Organization. Schizophrenia, 2020. Available: https://www.who.int/news-room/fact-sheets/detail/schizophrenia [Accessed 13 Jul 2019 ].
2 World Health Organization. Premature death among people with severe mental disorders, 2013. Available: https://www.who.int/mental_health/management/info_sheet.pdf [Accessed 13 Jul 2020 ].
3 Druss BG, Zhao L, Von Esenwein S, et al. Understanding excess mortality in persons with mental illness: 17-year follow up of a nationally representative us survey. Med Care 2011; 49: 599–604. doi:10.1097/MLR.0b013e31820bf86e http://www.ncbi.nlm.nih.gov/pubmed/21577183
4 Gami AS, Witt BJ, Howard DE, et al. Metabolic syndrome and risk of incident cardiovascular events and death. J Am Coll Cardiol 2007; 49: 403–14. doi:10.1016/j.jacc.2006.09.032
5 Casey DE, Haupt DW, Newcomer JW, et al. Antipsychotic-Induced weight gain and metabolic abnormalities: implications for increased mortality in patients with schizophrenia. J Clin Psychiatry 2004; 65 Suppl 7: 4–18. http://www.ncbi.nlm.nih.gov/pubmed/15151456
6 American Diabetes Association, American Psychiatric Association, American Association of Clinical Endocrinologists, et al. Consensus development conference on antipsychotic drugs and obesity and diabetes. Diabetes Care 2004; 27: 596–601. doi:10.2337/diacare.27.2.596 http://www.ncbi.nlm.nih.gov/pubmed/14747245
7 Newcomer JW. Second-Generation (atypical) antipsychotics and metabolic effects. CNS Drugs 2005; 19: 1???93–93. doi:10.2165/00023210-200519001-00001
8 Morgan VA, Waterreus A, Jablensky A, et al. People living with psychotic illness in 2010: the second Australian national survey of psychosis. Aust N Z J Psychiatry 2012; 46: 735–52. doi:10.1177/0004867412449877
9 Scott D, Happell B. The high prevalence of poor physical health and unhealthy lifestyle behaviours in individuals with severe mental illness. Issues Ment Health Nurs 2011; 32: 589–97. doi:10.3109/01612840.2011.569846 http://www.ncbi.nlm.nih.gov/pubmed/21859410
10 Lambert TJR, Chapman LH, Consensus Working Group. Diabetes, psychotic disorders and antipsychotic therapy: a consensus statement. Med J Aust 2004; 181: 544–8. doi:10.5694/j.1326-5377.2004.tb06443.x http://www.ncbi.nlm.nih.gov/pubmed/15540966
11 Schneiderhan ME, Shuster SM, Davey CS. Twelve-month prospective randomized study of pharmacists utilizing point-of-care testing for metabolic syndrome and related conditions in subjects prescribed antipsychotics. Prim Care Companion CNS Disord 2014; 16. doi: doi:10.4088/PCC.14m01669. [Epub ahead of print: 30 10 2014 ]. http://www.ncbi.nlm.nih.gov/pubmed/25667811
12 Cohn TA, Sernyak MJ. Metabolic monitoring for patients treated with antipsychotic medications. Can J Psychiatry 2006; 51: 492–501. doi:10.1177/070674370605100804 http://www.ncbi.nlm.nih.gov/pubmed/16933586
13 Roughead L, Procter N, Westaway K. Medication safety in mental health. Sydney: ACSQHC, 2017.
14 Claassen JN, Park JS. Examining the dispensing patterns of antipsychotics in Australia from 2006 to 2018 - A pharmacoepidemiology study. Res Social Adm Pharm 2021; 17: 1159–65. doi:10.1016/j.sapharm.2020.09.001 http://www.ncbi.nlm.nih.gov/pubmed/32928657
15 Buckley PF, Miller DD, Singer B, et al. Clinicians' recognition of the metabolic adverse effects of antipsychotic medications. Schizophr Res 2005; 79: 281–8. doi:10.1016/j.schres.2005.04.010 http://www.ncbi.nlm.nih.gov/pubmed/15964743
16 De Hert M, Cohen D, Bobes J, et al. Physical illness in patients with severe mental disorders. II. barriers to care, monitoring and treatment guidelines, plus recommendations at the system and individual level. World Psychiatry 2011; 10: 138–51. doi:10.1002/j.2051-5545.2011.tb00036.x http://www.ncbi.nlm.nih.gov/pubmed/21633691
17 Bradford DW, Kim MM, Braxton LE, et al. Access to medical care among persons with psychotic and major affective disorders. Psychiatr Serv 2008; 59: 847–52. doi:10.1176/ps.2008.59.8.847 http://www.ncbi.nlm.nih.gov/pubmed/18678680
18 Knox K, Kelly F, Mey A, et al. Australian mental health consumers' and carers' experiences of community pharmacy service. Health Expect 2015; 18: 2107–20. doi:10.1111/hex.12179 http://www.ncbi.nlm.nih.gov/pubmed/24612376
19 El-Den S. Reforming Australian mental health care–pharmacists’ roles, 2020. Available: https://www.australianpharmacist.com.au/reforming-australian-mental-health-care-pharmacists-roles [Accessed 18 Feb 2020 ].
20 Tsuyuki RT, Beahm NP, Okada H, et al. Pharmacists as accessible primary health care providers: review of the evidence. Can Pharm J 2018; 151: 4–5. doi:10.1177/1715163517745517 http://www.ncbi.nlm.nih.gov/pubmed/29317929
21 Chisholm-Burns MA, Kim Lee J, Spivey CA, et al. Us pharmacists' effect as team members on patient care: systematic review and meta-analyses. Med Care 2010; 48: 923–33. doi:10.1097/MLR.0b013e3181e57962 http://www.ncbi.nlm.nih.gov/pubmed/20720510
22 Bell JS, Rosen A, Aslani P, et al. Developing the role of pharmacists as members of community mental health teams: perspectives of pharmacists and mental health professionals. Res Social Adm Pharm 2007; 3: 392–409. doi:10.1016/j.sapharm.2006.10.005 http://www.ncbi.nlm.nih.gov/pubmed/18082875
23 Collins C, Limone BL, Scholle JM, et al. Effect of pharmacist intervention on glycemic control in diabetes. Diabetes Res Clin Pract 2011; 92: 145–52. doi:10.1016/j.diabres.2010.09.023 http://www.ncbi.nlm.nih.gov/pubmed/20961643
24 Mitchell B, Armour C, Lee M, et al. Diabetes medication assistance service: the pharmacist's role in supporting patient self-management of type 2 diabetes (T2DM) in Australia. Patient Educ Couns 2011; 83: 288–94. doi:10.1016/j.pec.2011.04.027 http://www.ncbi.nlm.nih.gov/pubmed/21616627
25 McLean DL, McAlister FA, Johnson JA, et al. A randomized trial of the effect of community pharmacist and nurse care on improving blood pressure management in patients with diabetes mellitus: study of cardiovascular risk intervention by pharmacists-hypertension (SCRIP-HTN). Arch Intern Med 2008; 168: 2355–61. doi:10.1001/archinte.168.21.2355 http://www.ncbi.nlm.nih.gov/pubmed/19029501
26 Morgado MP, Morgado SR, Mendes LC, et al. Pharmacist interventions to enhance blood pressure control and adherence to antihypertensive therapy: review and meta-analysis. Am J Health Syst Pharm 2011; 68: 241–53. doi:10.2146/ajhp090656 http://www.ncbi.nlm.nih.gov/pubmed/21258029
27 Santschi V, Chiolero A, Burnand B, et al. Impact of pharmacist care in the management of cardiovascular disease risk factors: a systematic review and meta-analysis of randomized trials. Arch Intern Med 2011; 171: 1441–53. doi:10.1001/archinternmed.2011.399 http://www.ncbi.nlm.nih.gov/pubmed/21911628
28 Santschi V, Chiolero A, Paradis G, et al. Pharmacist interventions to improve cardiovascular disease risk factors in diabetes: a systematic review and meta-analysis of randomized controlled trials. Diabetes Care 2012; 35: 2706–17. doi:10.2337/dc12-0369 http://www.ncbi.nlm.nih.gov/pubmed/23173140
29 Armour CL, Reddel HK, LeMay KS, et al. Feasibility and effectiveness of an evidence-based asthma service in Australian community pharmacies: a pragmatic cluster randomized trial. J Asthma 2013; 50: 302–9. doi:10.3109/02770903.2012.754463 http://www.ncbi.nlm.nih.gov/pubmed/23270495
30 Morrison D, McLoone P, Brosnahan N, et al. A community pharmacy weight management programme: an evaluation of effectiveness. BMC Public Health 2013; 13: 282. doi:10.1186/1471-2458-13-282 http://www.ncbi.nlm.nih.gov/pubmed/23537247
31 Boardman HF, Avery AJ. Effectiveness of a community pharmacy weight management programme. Int J Clin Pharm 2014; 36: 800–6. doi:10.1007/s11096-014-9964-3 http://www.ncbi.nlm.nih.gov/pubmed/25027254
32 Newman TV, San-Juan-Rodriguez A, Parekh N, et al. Impact of community pharmacist-led interventions in chronic disease management on clinical, utilization, and economic outcomes: an umbrella review. Res Social Adm Pharm 2020; 16: 1155–65. doi:10.1016/j.sapharm.2019.12.016 http://www.ncbi.nlm.nih.gov/pubmed/31959565
33 Rosser S, Frede S, Conrad WF, et al. Development, implementation, and evaluation of a pharmacist-conducted screening program for depression. J Am Pharm Assoc 2013; 53: 22–9. doi:10.1331/JAPhA.2013.11176 http://www.ncbi.nlm.nih.gov/pubmed/23636152
34 O'Reilly CL, Wong E, Chen TF. A feasibility study of community pharmacists performing depression screening services. Res Social Adm Pharm 2015; 11: 364–81. doi:10.1016/j.sapharm.2014.08.013 http://www.ncbi.nlm.nih.gov/pubmed/25438728
35 McMillan SS, Kelly F, Hattingh HL, et al. The impact of a person-centred community pharmacy mental health medication support service on consumer outcomes. J Ment Health 2018; 27: 164–73. doi:10.1080/09638237.2017.1340618 http://www.ncbi.nlm.nih.gov/pubmed/28675321
36 Kamusheva M, Ignatova D, Golda A, et al. The Potential Role of the Pharmacist in Supporting Patients with Depression - A Literature-Based Point of View. Integr Pharm Res Pract 2020; 9: 49–63. doi:10.2147/IPRP.S239672 http://www.ncbi.nlm.nih.gov/pubmed/32161716
37 Krass I, Armour CL, Mitchell B, et al. The pharmacy diabetes care program: assessment of a community pharmacy diabetes service model in Australia. Diabet Med 2007; 24: 677–83. doi:10.1111/j.1464-5491.2007.02143.x http://www.ncbi.nlm.nih.gov/pubmed/17523968
38 Um IS, Krass I, Armour C, et al. Developing and testing evidence-based weight management in Australian pharmacies: a healthier life program. Int J Clin Pharm 2015; 37: 822–33. doi:10.1007/s11096-015-0126-z http://www.ncbi.nlm.nih.gov/pubmed/25920908
39 Olenak JL, Calpin M. Establishing a cardiovascular health and wellness program in a community pharmacy: screening for metabolic syndrome. Journal of the American Pharmacists Association 2010; 50: 32–8. doi:10.1331/JAPhA.2010.08104
40 Al AdAwi RM, Stewart D, Ryan C, et al. A systematic review of pharmacist input to metabolic syndrome screening, management and prevention. Int J Clin Pharm 2020; 42: 995–1015. doi:10.1007/s11096-020-01084-3
41 Sud D, Laughton E, McAskill R, et al. The role of pharmacy in the management of cardiometabolic risk, metabolic syndrome and related diseases in severe mental illness: a mixed-methods systematic literature review. Syst Rev 2021; 10: 92. doi:10.1186/s13643-021-01586-9 http://www.ncbi.nlm.nih.gov/pubmed/33789745
42 Chung F, Yegneswaran B, Liao P, et al. Stop questionnaire. Anesthesiology 2008; 108: 812–21. doi:10.1097/ALN.0b013e31816d83e4
43 Nagappa M, Liao P, Wong J, et al. Validation of the Stop-Bang questionnaire as a screening tool for obstructive sleep apnea among different populations: a systematic review and meta-analysis. PLoS One 2015; 10: e0143697. doi:10.1371/journal.pone.0143697 http://www.ncbi.nlm.nih.gov/pubmed/26658438
44 Chung F, Abdullah HR, Liao P. Stop-Bang questionnaire. Chest 2016; 149: 631–8. doi:10.1378/chest.15-0903
45 Horne R, Weinman J, Hankins M. The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication. Psychol Health 1999; 14: 1–24. doi:10.1080/08870449908407311
46 Australian Government. Modified Monash model, 2021. Available: https://www.health.gov.au/health-topics/rural-health-workforce/classifications/mmm [Accessed 14 Apr 2022 ].
47 Orsmond GI, Cohn ES. The distinctive features of a feasibility study: objectives and guiding questions. OTJR 2015; 35: 169–77. doi:10.1177/1539449215578649 http://www.ncbi.nlm.nih.gov/pubmed/26594739
48 Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3: 77–101. doi:10.1191/1478088706qp063oa
49 Pourhoseingholi MA, Baghestani AR, Vahedi M. How to control confounding effects by statistical analysis. Gastroenterol Hepatol Bed Bench 2012; 5: 79. http://www.ncbi.nlm.nih.gov/pubmed/24834204
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Abstract
Introduction
Physical health conditions are the leading causes of death in people living with severe mental illness. In particular, the risk of metabolic syndrome; the constellation of abnormalities in weight, blood pressure, blood glucose and lipid levels, is high in this cohort. It has been recognised that commonly prescribed pharmacological agents for mental illness can further amplify the risk of developing metabolic syndrome; therefore, monitoring guidelines are in place for consumers prescribed antipsychotics. However, there is a disconnect between recommended guidelines and current practice. Our study aims to investigate: (1) the feasibility of a community pharmacist-led physical health monitoring for metabolic parameters in consumers with mental illness currently taking second generation antipsychotics and (2) the potential outcomes of the intervention (eg, rates and outcome of referrals to general practitioners, relationship between the pharmacist’s lifestyle counselling advice and change in metabolic parameters).
Methods and analysis
We propose a longitudinal metabolic monitoring study led by community pharmacists with one-to-one consultations between trained pharmacists and participants at set intervals over a 12-month period. Our primary outcome is to determine the feasibility of the pharmacist-led intervention. The secondary outcome is to explore the overall health outcomes of consumers enrolled in the intervention. This is a mixed-methods study including both quantitative and qualitative outcomes. Qualitative data will be analysed via the process of data immersion, coding and identification of themes. Quantitative outcomes will be analysed using IBM Statistics SPSS software. Univariate descriptive, regression analysis and dependent t-tests will be performed. Statistical significance will be at α 0.05.
Ethics and dissemination
Our study has been approved by the institutional Human Research Ethics Committee (Protocol no: 203433). Findings will be made publicly available in peer-reviewed articles, conference presentations to health professionals, as well as other stakeholders. Protocol V.2.1, August 2021.
Trial registration number
ACTRN12621001435875.
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Details


1 Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
2 Quality Use of Medicines Network, Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
3 Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Australian Centre for Precision Health, University of South Australia, Adelaide, South Australia, Australia