(DiAMAND) Study


Research Protocol

Managing Depression in Diabetes Mellitus: A Multicentric randomized Controlled Trial Comparing effectiveness of Fluoxetine and Mindfulness in Primary Care: Protocol for DiAbetes Mellitus ANd Depression (DiAMAND) Study

Mina Chandra1, Dhanya Raveendranathan2, Johnson Pradeep R.3, Suravi Patra4 , Rushi5, Konasale Prasad6, Jaspreet S Brar7



Background: Suboptimal management
of depression in type 2 diabetes mellitus (T2DM) often translates into poor glycemic control, medical complications, and impaired quality of life. Feasibility and e ectiveness of collaborative care models of depression in diabetes in low- and middle-income countries (LMICs) remain unexplored. DIAbetes Mellitus ANd Depression (DIAMAND) study, a multicentric single- blind randomized controlled trial (SBRCT) comparing e ectiveness of uoxetine
and mindfulness in primary care settings, addresses this gap in scienti c literature.

Methods: This trial conducted in diverse geographic settings of New Delhi, Bengaluru, and Bhubaneswar will comprise module-based training of primary care providers (PCPs) for screening, diagnosing, and managing depression in diabetes

in phase I. Phase II will involve four-arm parallel group RCT on 350 participants with T2DM with comorbid depressive episode randomly allocated to receive uoxetine, mindfulness therapy, uoxetine plus mindfulness therapy, or treatment as usual at primary care settings. Interventions would include uoxetine (up to 60 mg/day) and/or sessions of mindfulness for

16 weeks. Primary outcomes on

standardized rating scales include depression scores (Hamilton Depression Rating Scale), treatment adherence (Adherence to Re ll and Medication Scale), self-care (Diabetes Self-Management Questionnaire), diabetes-related distress (Diabetes Distress Scale), and glycemic control. Secondary outcomes include quality of life (World Health Organization Quality of Life Brief version [WHO-QOL BREF]) and mindfulness (Five Facets Mindfulness Questionnaire).

Discussion: This RCT will investigate the e ectiveness of module-based training of PCPs and feasibility of collaborative

1Dept. of Psychiatry, Deaddiction Services & Resource Centre for Tobacco Control, Centre of Excellence in Mental Health, Atal Bihari Vajpayee Institute
of Medical Sciences (Formerly PGIMER) and Dr Ram Manohar Lohia Hospital, New Delhi, India 2Dept. of Psychiatry, St. John’s Medical College, Bengaluru, Karnataka, India 3Dept. of Psychiatry, Medical Ethics, Institutional Ethics Committee, St. John’s Medical College, Bengaluru, Karnataka, India 4Dept. of Psychiatry, AIIMS Bhubaneswar, Bhubaneswar, Odisha, India 5Dept. of Clinical Psychology, Centre of Excellence in Mental Health, Deaddiction Services & Resource Centre for Tobacco Control, Atal Bihari Vajpayee Institute of Medical Sciences (Formerly PGIMER) and Dr Ram Manohar Lohia Hospital, New Delhi, India 6Dept. of Psychiatry and Bioengineering, University of Pittsburgh, Veterans A airs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA 7Dept. of Psychiatry, Community Care Behavioral Health Organization, Western Psychiatric Hospital of UPMC, Pittsburgh, Pennsylvania, USA

HOW TO CiTe THiS ArTiCLe: Chandra M, Raveendranathan D, Johnson Pradeep R, Patra S, Rushi, Prasad K, S Brar J. Managing Depression in Diabetes Mellitus: A Multicentric Randomized Controlled Trial Comparing E ectiveness of Fluoxetine and Mindfulness in Primary Care: Protocol for DIAbetes Mellitus ANd Depression (DIAMAND) Study. Indian J Psychol Med. 2020;XX:1–8.

Address for correspondence: Suravi Patra,Dept.of Psychiatry,AIIMS Bhubaneswar, Bhubaneswar, Odisha 751019, India. E-mail: psych_suravi@aiimsbhubaneswar. edu.in

Submitted: 13 Aug. 2020 Accepted: 12 Oct. 2020 Published Online: xxxx


Copyright © 2020 Indian Psychiatric Society – South Zonal Branch

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution- NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as speci ed on the SAGE and Open Access pages (https:// us.sagepub.com/en-us/nam/open-access-at-sage).


Website: journals.sagepub.com/home/szj DOI: 10.1177/0253717620971200

Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020 1

Chandra et al.

care model for managing depression in T2DM in primary care settings in LMICs
and e ectiveness of uoxetine and/or mindfulness in improving diverse outcomes of T2DM with major depression.

Keywords: Collaborative care, depression, mindfulness, randomized controlled trial, Dtype 2 diabetes mellitus

epression is a common comor- bidity in diabetes with large community-based studies re-

porting prevalence as double (20.03%) than the general population (10.8%).1,2 Diabetes and depression share a bidirec- tional relationship with common risk factors and shared etiopathogenesis, and adversely impact outcomes of each other through neurohormonal and behavioral pathways.3–5 Comorbid depression often results in poor treatment adherence and impaired glycemic control, increased in- cidence of microvascular and macrovas- cular complications, and poor quality of life (QoL).5

Currently, 80% people with diabetes live in low- and middle-income coun- tries (LMICs) of which only half receive some form of clinical care which is often suboptimal.6 By 2030 a 69% increase in prevalence of diabetes is estimated for LMICs, i.e. three times higher than for high-income nations.7

In India, community level diabetes care is provided through National Program for Prevention and Control of Diabetes, Cancer and Stroke (NPPCDCS) whereas community mental healthcare is pro- vided through National Mental Health Program (NMHP). Poor organizational and system level integration di culties alongside nancial, infrastructure, and manpower de cits further compound the problem of mental healthcare deliv- ery in diabetes clinics.8 Task sharing, task shifting, and integration of mental healthcare have been proposed as mecha- nisms of scaling up care for patients with diabetes. 9

Collaborative Care for

Depression in Diabetes

There are few evidence-based guidelines and successful models for combined psychological and pharmacological management of depression in diabetes. Service delivery for depression in patients with diabetes in collaborative care set- tings requires integration of specialist

mental healthcare with existing primary and secondary level healthcare or stepped up care models to e ectively treat depres- sion and improve glycemic outcomes.9–16

Effectiveness of

Antidepressant Medications

Improvement of depression usually translates into better treatment compli- ance and glycemic control by improving physical activity, dietary regulation, and blood glucose monitoring and adher- ence to medications mediated through behavioral pathways.5 Speci c serotonin reuptake inhibitors (SSRIs) like uoxe- tine are known to have the most favorable e cacy vs side-e ect pro le in treatment of depression in comorbid medical con- ditions.17–19 In an RCT conducted by Lustman et al., uoxetine signi cantly reduced depression as well as improved glycemic control as compared to placebo in patients with diabetes.18

Role of Combined Pharmacological and Psychological Treatments

The Cochrane review on pharmacolog- ical and psychological interventions in diabetes and depression reported mod- erate e ect sizes for improvement of depression, glycemic control, treatment adherence, QoL, and intervention cost at short and medium term. However, the trials had methodological issues of not investigating most outcomes su ciently and lacking follow-up data, thereby lim- iting the evidence on the sustainability of treatment e ects.20

Mindfulness-based practices (MBPs)

are characterized by focus in present moment, awareness of breath, bodily sensations, emotions and thoughts, incul- cation of positive emotional experiences like joy, gratitude, regulation of emotion, attention, and behavior by performing both formal and informal structured mindfulness exercises.21 MBPs are unique in their approach towards metacognition with focus and acceptance of experiences of emotion, thoughts, and bodily sensa- tions rather than challenging and altering thoughts that are central to cognitive approaches.22

MBPs have proved e ective in the management of anxiety, depression, stress, chronic pain, and improving QoL,

reducing diabetes distress, improving medication adherence, diabetes-related self-e cacy, and even medical outcomes of glycemic control.22–25 MBP therapy has also been found to be as e ective as cognitive behavior therapy in reduc- ing diabetes, distress, and depression, and improving well-being in depressed diabetic patients.26 However, mindful- ness-based therapies are also associated

with some risks.
It is important to demonstrate feasi-

bility and sustainability of mindfulness intervention for patients with depression and diabetes in primary care settings for possible future incorporation as low cost nonpharmacological interventions in NPPCDCS and NMHP in the future.

Materials and Methods

The proposed timeline for study is given in Figure 1.

Study Design and Ethical


The study design of DIAbetes Mellitus ANd Depression (DIAMAND) study is a multicenter, 16-week parallel group ran- domized single-blind trial in patients undergoing treatment for type 2 dia- betes mellitus (T2DM) and diagnosed with depressive episode as per ICD-10 (International Classi cation of Diseases Tenth Revision) Diagnostic Criteria for Research, and not on any antidepres- sants for any indication at baseline. The study participants will be allocated in 1:1:1:1 ratio into uoxetine, mindfulness, combination ( uoxetine and mindful- ness), or treatment as usual (TAU). The choice of uoxetine was based on known e cacy and safety pro le as well as easy availability (available free of cost at most primary healthcare centers or govern- ment psychiatric facilities in India as an essential drug).27

The TAU group will not receive any anti- depressants but will also receive standard diabetes care. In an e ectiveness study, it is not always possible to ensure that patients may not start additional treatments on their own. In order to maintain internal validity, an inventory of all concomitant medications taken by the patient will be obtained at each visit.If a patient has newly started treatment with a medi- cation that is excluded by the protocol,

2 Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020


Figure 1.
SPiriT Diagram (Standard Protocol items for reporting Clinical Trials) for the Schedule of enrolment, interventions, and Assessments

ARMS: Adherence to Re lls and Medication Questionnaire, DSMQ: Diabetes Self-Management Questionnaire, HbA1C: glycosylated hemoglobin, FFMQ: Five Facets Mindfulness Questionnaire, HAM-D: Hamilton Depression Rating Scale, RBS: Random Blood Sugar, PHQ-2: Patient Health Questionnaire, WHO-QOL BREF: World Health Organization Quality of Life Brief version. **Exact time-points mentioned in this row.

ongoing continuation in the study for that patient will be evaluated on a case- by-case basis. In case of medications such as antidepressants, the patient may be terminated from the study.

This trial will be carried out in the form of a collaborative care provision for patients with diabetes attending primary health centers. Mental healthcare treat- ment that includes pharmacological treatment of depression will be provided

through trained primary care physician under supervision, support, and guidance of specialist psychiatrists. Psychological treatment would be provided through MPhil Clinical Psychology/MPhil Psy- chiatric Social Work quali ed Junior Research Fellows ( JRFs) trained in mindfulness techniques by mindful- ness experts at the National Institute of Mental Health and Neurosciences, Ben- galuru and at the Atal Bihari Vajpayee

Research Protocol

Institute of Medical Sciences (ABVIMS) and Dr Ram Manohar Lohia (RML) Hos- pital, New Delhi as well as online training on mindfulness-based stress reduction (https://palousemindfulness.com/). The study has received ethical approval from Institutional Ethics Committee of all the three participating centers and registered in the Clinical Trials registry of India (vide ID: CTRI/2019/01/017239 dated 24.01.19).

Study Settings

The study will be conducted at three sites in north (Delhi), east (Bhubaneswar), and south (Bengaluru) zones of India. In Delhi, Central Government Health Scheme (CGHS) Wellness Centre, Timar- pur near Delhi University will be the primary site. CGHS Wellness Centres are run by Government of India for providing comprehensive medical care to central government employees and pensioners. In addition, participants attending primary care settings of Delhi Government and Delhi Jal Board near CGHS Wellness Centre, Timarpur, Delhi will also be recruited at this site (site supervised by Chandra M).

In Bhubaneswar, Non-Communicable Disease Clinic of All India Institute of Medical Sciences (AIIMS), a model agship center under program of Non-Communicable Disease Control and Prevention Program for the state of Odisha, will be the study site. The services are oriented towards maintain- ing adequate control and prevention of complications of diabetes mellitus and hypertension (supervised by Patra S).

In Bengaluru site, the participants will be recruited from the Community Health Centre in Kengeri satellite town and Anekal General Hospital in Anekal town which are run by the Department of Health and Family welfare of the Government of Karnataka (sites will be supervised and managed by Raveen- dranathan D and Johnson Pradeep R).

In phase 1, all PCPs at study sites will receive a standard module-based training for diagnosis and management of diabe- tes mellitus along with a pre and post case vignette and questionnaire-based assess- ment for knowledge, attitude, and clinical skills of primary healthcare personnel.

To incorporate subjects with diabetes who do not attend primary care for dia- betes or any other health-related needs

Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020 3

Chandra et al.

and self-refer to tertiary care settings, module-based training programs will also be organized for physicians at ABVIMS and Dr RML Hospital, AIIMS Bhubaneswar, and St John’s Medical College. This will lead to a much larger pool of physicians trained to diagnose and manage depression in patients with diabetes and these centers may also func- tion as additional recruitment sites.

Inclusion and Exclusion


These criteria re ect the real-world clinical characteristics of patients with T2DM who seek care are primary health centers. The inclusion criteria are: (1) T2DM diagnosed as per American Dia- betes Association guidelines27, (2) both genders, (3) age 20–60 years, (4) on stan- dard of care for management of diabetes for past 3 months,28 (5) mild to moder- ate depressive episode diagnosed as per ICD-10 Diagnostic Criteria for Research (DCR),29 and severity of depression as assessed by Hamilton Depression Rating Scale (HAM-D)30 score between 8 and 24.

The exclusion criteria are: (1) antide- pressant use for any indication in last 3 months; (2) major complications of diabetes mellitus such as retinopathy, nephropathy, etc.; (3) poorly controlled hypertension; (4) major psychiatric dis- orders (schizophrenia, bipolar a ective disorder); (5) substance use disorders except nicotine; (6) suicidal ideation, suicidal gestures, psychotic symptoms, oragitation;(7)neurological/neurosurgi- cal disorders, cerebrovascular disorders, seizure disorder, and head injury; (8)

disorders of cognitive impairment like dementia, mental retardation; (9) recent myocardial infarction within past 6 months; and (10) history of allergy to any antidepressants.

Sample Size Estimation

Sample size (N) was calculated by keeping the primary outcome of mean depression scores on HAM-D29 and response to u- oxetine at 66.7% (p1) compared to 37% for placebo (p2) based on the study by Cipriani et al.,27 type I error at 5%, power at 90%, using two-sided Tukey’s critical Z value for multiple comparisons for type I error of 5% and six pairwise compari- sons ( uoxetine and TAU; mindfulness and TAU; uoxetine and mindfulness, combination and TAU, combination and uoxetine, combination and mindful- ness).

The sample size is determined to be 76 for each arm, i.e. 304 for four arms and enhanced to 350 considering anticipated attrition of 15%. All sites will recruit 350 participants each with a total sample size of 1050.

Enrolment and


The enrolment, randomization, and follow-up protocol of the study is given in Figure 2. Informed written consent would be taken from participants in their vernacular language in a proforma approved by the local ethics committee. Screen positive patients having Patient Health Questionnaire (PHQ)-2 scores of ≥329 would be further assessed using ICD-10 DCR.30 All consenting patients

diagnosed with major depressive episode as per ICD-10 by primary care physician and con rmed by trained mental health professional and scoring between 8 and 24 on HAM-D would be included in the study.

Recruited participants would then be randomized in 1:1:1:1 ratio into uoxe- tine, mindfulness, combination, and TAU groups using a computer-based random- ization program using permuted block randomization method with blocks of eight allocations to ensure equal number of participants in each treatment group. The allocation sequence would be con- cealed by using sequentially numbered opaque sealed envelopes. Independent evaluators blinded to treatment assign- ment will rate participants. Blinding will be removed at the recommendation of the site principal investigator (PI) in case of any medical emergency in order to know the medications received by the patients.

Study Medication

Fluoxetine will be initiated at 20 mg/day in participants in uoxetine and combi- nation arms by the primary care physician and titrated up to a maximum of 60 mg/ day for optimal management. Adher- ence to medication will be monitored by self-report and pill count. Concurrent use of antipsychotics or mood stabilizers will not be allowed to the participants in the study period. Only benzodiazepines will be allowed on as-needed basis for the study duration. However, medications for anyothermedicalindicationarepermit- ted in the study period in keeping with the TAU protocol.

Figure 2.
Timeline of DiAbetes Mellitus ANd Depression (DiAMAND) Project

Ethics Committee approval
Recruitment and training of project sta

Registration of the trial at the Clinical Trials Registry-India (CTRI)

Development of modules for training, mindfulness intervention and assessment of doctors in primary health care settings

Periodic training of doctors in primary health care settings Recruitment of study participants
Collation of multicentric data, data cleaning and data analysis Writing up of manuscripts and nal project reports

Year 1

Year 2

Year 3













4 Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020

Mindfulness Therapy

Various RCTs have been reported using mindfulness-based interventions for dep- ression in primary care.31–34 Mindfulness- based cognitive therapy has been found e ective in managing depression in adolescents as well as elderly Indian population.35,36 Mindfulness-based stress reduction, mindfulness-based cognitive therapy, and brief mindfulness inter- ventions have been used for depression in primary care. We shall be using brief mindfulness-based intervention to the study participants randomized to min- dfulness and combination arms as a scripted module of on mindfulness interventions designed for patients with diabetes and depression based on evi- dence-based mindfulness interventions provided in primary care settings.25,26 The sessions will include introduction and understanding of the concept of mind- fulness, its applicability to patients with diabetes and depression, and general principles of practice of mindfulness.34 The module will include mindful breath- ing, body scan, gratitude, and compassion exercise. In addition to formal mindful- ness techniques, informal mindfulness procedures like practicing mindfulness in daily activities like cooking, cleaning, showering, etc. will be discussed. The participants will be taught the techniques of slowly disengaging from personal thoughts, emotions, and bodily symp- toms, gain a sense of personal balance, and reach a state of self-compassion.34

Script for mindfulness module will also be audio recorded at the Delhi center in English and Hindi which will then

be translated into Kannada and Odiya. Bilingual experts at individual sites would be involved in the translation of mindfulness intervention module. The nal version would then be prepared by consensus of the PIs of the three sites. An audio recording of the mindfulness inter- vention will be shared with participants of mindfulness and combination arms in the language of their uency to aid daily practice of mindfulness in home settings. Five mindfulness sessions lasting 40–45 minutes in duration would be provided at baseline, 4, 8, 12, and 16 weeks monthly intervals. Booster sessions will be pro- vided at each follow-up. Mindfulness therapy intervention would be delivered by mental health professionals trained in mindfulness. The JRFs would have access to the written module as well as audio recording of mindfulness intervention for reference and self- monitoring. The mind- fulness sessions administered on-site by project sta will be recorded and ran- domly checked for delity on a periodic basis by site PI. Adherence to mindfulness practice shall be ascertained and rein- forced by weekly telephonic enquiry by the research sta . In addition, all study participants in mindfulness (n = 76) and combination arms (n = 76) will be shared a monitoring format to document daily practice of mindfulness which will be evaluated on monthly follow-ups.

Follow-Up Plan and

Outcome Measures

All participants will be assessed at base- line, 2, 4, 8, 12, and 16 weeks. We are using SPIRIT (Standard Protocol Items:

Research Protocol

Recommendations for Interventional Trials Template) owchart which is as per the SPIRIT guidelines, a standard report- ing guideline for intervention protocols (Figure 1). The study ow and partici- pant recruitment are shown in Figures 2 and 3. For the primary outcome, partic- ipants will be rated using the HAM-D.37 Other outcomes like Adherence to Re ll and Medication Scale (validated for treatment adherence even in low liter- acy populations [a = 0.828]),39 Diabetes Self-Management Questionnaire (has four subscales Glucose Management, Dietary Control, Physical Activity, Health-Care Use and a Sum Scale assessing self-care behaviors predicting glycemic control [convergent correlation with HbA1C: –0.40]),40 and Diabetes Distress scale (assesses four distress-related domains: emotional burden, physician-related distress, regimen-related distress, and diabetes-related interpersonal distress with high reliability (alpha > 0.87) and validity),41 QoL measured with WHO-QOL BREF (standardized scale validated in diverse cultural settings),42 mindfulness measured with Five Facets Mindfulness Questionnaire (comprising of ve independently developed mind- fulness questionnaires),43 and changes in glycosylated hemoglobin (HbA1C) levels as marker of glycemic control would be considered secondary. In addition, body mass index, waist hip ratio, and fasting blood glucose levels will be recorded for subsequent analysis. The project sta will be trained for administration and rating of all scales by site PI prior to commencement of study. Inter-rater reli- ability exercises will be carried out weekly

Figure 3.
DiAbetes Mellitus ANd Depression (DiAMAND) Study Participant recruitment and Follow-up Flowchart

PHC: primary health center, PHQ-2: Patient Health Questionnaire: 2 items, T2DM: type 2 diabetes mellitus; TAU, treatment as usual.

Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020 5

Chandra et al.

Figure 4.
Baseline and Follow-up Assessment Protocol of DiAMAND Study

ARMS: Adherence to Re lls and Medication Questionnaire; DSMQ: Diabetes Self-Management Questionnaire, HbA1C: glycosylated hemoglobin, FFMQ: Five Facets Mindfulness Questionnaire, HAM-D: Hamilton Depression Rating Scale, WHO-QOL BREF: World Health Organization Quality of Life Brief version.

with site PI as the gold standard rater to ensure robustness of collected data. The protocol for collection of anthropometric data, scale-based assessments, and labo- ratory investigation is given in Figure 4.

Unblinding Protocol and

Safety Measures

Identi cation of death wishes, suicide ideas, suicide plans, suicide attempts, psychosis, or mania would be done clin- ically while evaluation of depression at baseline and follow-up. Monitoring for adverse e ects of both uoxetine (like dermatological, respiratory, gastroint- estinal side e ects, manic switch) and mindfulness (somatic pain, disorienta- tion, addiction to meditation, suicidal ideation, and destructive behavior) will be done during follow-up.42 Similarly, any serious or life-threatening event like myocardial infarction, diagnosis of cancer, head injury etc. occurring during the course of the trial will also be doc- umented. All such participants will be unblinded and excluded from the trial, and appropriate clinical care would be provided including emergency referral to a higher center.

A trial monitoring committee has been constituted at each site to monitor the sites for any adverse events. A six-monthly

report would be sent to them for their decision on continuation or termination of the trial.

Statistical Analysis Plan

All patients who complete randomization will be included in the intent-to-treat anal- ysis regardless of compliance with study visits or treatment. The e ciency of ran- domization will be examined to ascertain whether important sociodemographic and clinical confounders are evenly distributed at baseline in the di erent arms of the study.

A mixed model regression analysis with xed and random e ects will be carried out to compare changes in primary and secondary outcomes in treatment condi- tions, namely uoxetine, mindfulness, combination of both versus TAU, while also investigating for confounders like age, gender, and duration of illness for diabetes. E ect sizes between treatment arms will be calculated to assess the mag- nitude of di erences within groups. All the analyses will be done using IBM SPSS version 26.0 or STATA version 13.0.

The di erences in outcomes across the three sites will also be investigated using site as an interaction term during analysis of pooled dataset of all three sites.


The evidence base for treatment of depres- sion in diabetes is limited.27 German Diabetes Association recommends simul- taneous improvement of psychological as well as medical outcomes as standard of care for depressed diabetics, i.e. remission of depression and achievement of glyce- mic control.45

The results of DIAMAND study may provide insights into the process of improvement of psychological and gly- cemic outcomes and hence may add to the scienti c literature on the role of ade- quate antidepressant treatment in the management of diabetes. The results may also provide the much-needed evidence for collaborative care for depression in diabetes in the Indian context. Integra- tion of mental healthcare with existing health services delivery system through mutual cooperation, proactive follow-up of patients, monitoring of patient out- comes, and support for primary care physician would be unique in our model. In addition, the results of DIAMAND study would be informative in terms of evaluation of feasibility as well as e cacy of both simpli ed psychological therapy and pharmacological intervention in routine primary care clinical settings.

The study protocol has incorporated provision of formal clinical assessment using standardized nosological system for a de nite diagnosis of depression by PCPs who have not been adequately trained in psychiatry. This will help demonstrate the success of task-shifting and task-sharing approaches advocated by World Health Organization for reduc- ing treatment gap in mental disorders in LMICs.47 Use of validated instruments for screening, diagnosis, and assessment of depression, QoL, adherence to medi- cations, and self-management is another strength of our study.

Our study will investigate both psy- chological and glycemic targets as treatment outcomes. Hence, careful eval- uation of depression, QoL, and self-care would be helpful in assessing psycho- logical response, whereas adherence to medications and glycemic control will indicate the impact of antidepressant treatment on diabetes control and man- agement. Our results would add to the existing evidence base for e ect on gly- cemic control upon medium-term use of SSRIs which is lacking to date.10

6 Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020

There are a few limitations in the study design. The single-blind design may introduce systematic bias based on the participant’s perception of the nature of intervention. Participants may have preconceived notions about medica- tion (more e ective/less desirable) and mindfulness intervention (culturally more acceptable/less e ective) which can contribute to a placebo or nocebo e ect. However, as the study is a frame- work for the intervention for depressed patients with T2DM seeking healthcare services at primary care level in LMICs, a pragmatic e ectiveness and feasibility approach, which can be translated into clinical practice, was chosen.

There is a possibility of treatment contamination if any study participant does not follow the protocol for the assigned treatment either by nonadher- ence or partial adherence (not receiving the recommended intervention because of patient preference or treatment intolerance) or treatment crossover (receiving the intervention intended for the other group in a trial, e.g. if partici- pants of di erent arms interact and on their own take intervention not assigned to them). A Contamination Adjusted Intention to Treat (CA ITT) analysis will be a better statistical strategy in such a case but requires a bigger sample size.45 As each site is achieving minimum sample size individually, the pooled data set of all three sites will provide su cient numbers to conduct CA ITT analysis as well, if required.

The experience from collaborative care treatment in three di erent medical setups from varied geographical regions from northern, eastern, and southern parts of India would help in understand- ing the challenges and di culties in providing collaborative care for depres- sion in primary healthcare settings in di erent cultural contexts with diverse constraints in healthcare resources and logistics. This experience would help in formulating and planning future research in identifying active treatment ingre- dients for unique sociocultural needs of India. This treatment model would help in formulating integration and pro- visioning of mental health care within the existing framework of NMHP and NPCDCS.

Trial Status

Phase I of the trial involving training of primary healthcare physicians has been completed, and phase II involving recruitment and randomization of par- ticipants has been initiated at all sites.

Declaration of Conflicting Interests

The authors declared no potential con icts of interest with respect to the research, authorship, and/or publication of this article.


This protocol paper describes the methodolo- gy of a research project funded under ‘Capacity Building Task Force for Mental Health Research in India’ funded by the Indian Council of Medical Research vide le number 5/4-4/151/M/2017/NCD- 1. International mentors were funded by the train- ing program ‘Cross Fertilized Research Training for New Investigators in India and Egypt’ funded by FIC, NIH (No. D43 TW009114).

Research Protocol

9. Patra S and Patro BK. Collaborative care for depression in diabetes: Challenges, opportunities and strategies. Natl Med J India 2018; 31(2): 124.

10. Petrak F, Baumeister H, Skinner TC,
et al. Depression and diabetes: Treatment and health-care delivery. Lancet Diabetes Endocrinol 2015; 3(6): 472–485.

11. Kozlowska O, Solomons L, Cuzner D,
et al. Diabetes care: Closing the gap between mental and physical health in primary care. Br J Gen Pract 2017; 67(663): 471–472.

12. Atlantis E, Fahey P, and Foster J. Collab- orative care for comorbid depression and diabetes: A systematic review and meta-analysis. BMJ Open 2014; 4(4): e004706.

13. Huang Y, Wei X, Wu T, et al. Collaborative care for patients with depression and diabetes mellitus: A systematic review and meta-analysis. BMC Psychiatry 2013; 14(13): 260.

14. Sharpe M. A collaborative care approach delivering treatment to patients with depression comorbid with diabetes or car- diovascular disease achieves signi cant but small improvements over usual care in depression and patient satisfaction. Evid Based Ment Health 2015; 18(4): 122.

15. Camacho EM, Ntais D, Coventry P, et al. Long-term cost-e ectiveness of collabo- rative care (vs usual care) for people with depression and comorbid diabetes or cardiovascular disease: A Markov model informed by the COINCIDE randomised controlled trial. BMJ Open 2016; 6(10): e012514.

16. Coventry PA, Hudson JL, Kontopantelis E, et al. Characteristics of e ective collab- orative care for treatment of depression: A systematic review and meta-regression of 74 randomised controlled trials. PLoS One 2014; 9(9): e108114.

17. Baumeister H, Hutter N, and Bengel
J. Psychological and pharmacological interventions for depression in patients with diabetes mellitus and depression. Cochrane Database Syst Rev 2012; 12: CD008381.

18. Lustman PJ, Freedland KE, Gri th LS, et al. Fluoxetine for depression in diabetes: A randomized double-blind placebo-controlled trial. Diabetes Care 2000; 23(5): 618–623.

19. Fawzi MH, Said NS, Fawzi MM, et al. Psy- chiatric referral and glycemic control of Egyptian type 2 diabetes mellitus patients with depression. Gen Hosp Psychiatry 2016; 40: 60–67.

20. Baumeister H, Hutter N, and Bengel J. Psychological and pharmacological inter- ventions for depression in patients with diabetes mellitus: An abridged Cochrane review. Diabet Med 2014; 31(7): 773–786.



Suravi Patra 6017-5222



Johnson Pradeep R 0003-0758-1664





3. 4.

5. 6.

7. 8.

Salinero-Fort MA, Gómez-Campelo P, San Andrés-Rebollo FJ, et al; The MADIABE- TES Research Group. Prevalence of de- pression in patients with type 2 diabetes mellitus in Spain (the DIADEMA Study): Results from the MADIABETES cohort. BMJ Open 2018; 8: e020768.

Lim GY, Tam WW, Lu Y, et al. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci Rep 2018; 8(1): 2861.

Sartorius N. Depression and diabetes. Dia- logues Clin Neurosci 2018; 20(1): 47–52. Thornicroft G, Ahuja S, Barber S, et al. Integrated care for people with long-term mental and physical health conditions in low-income and middle-income coun- tries. Lancet Psychiatry 2018; 6(2): 174–186. Holt RI, de Groot M, and Golden SH. Diabetes and depression. Curr Diab Rep 2014; 14(6): 491.

Mendenhall E, Norris SA, Shidhaye R, et al. Depression and type 2 diabetes in low- and middle-income countries: A system- atic review. Diabetes Res Clin Pract 2014; 103(2): 276–285.

International Diabetes Federation IDF. IDF Diabetes Atlas eighth edition; 2017. www. diabetesatlas.org.
Kar S and Thakur J. Integration of NCD programs in India: Concepts and health system perspective. Int J Med Public Health 2013; 3(4): 215–218.

Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020 7

Chandra et al.

21. Crane RS, Brewer J, Feldman C, et al. What de nes mindfulness-based pro- grams? The warp and the weft. Psychol Med 2017; 47(6): 990–999.

22. Hofmann SG and Gómez AF. Mindful- ness-based interventions for anxiety and depression. Psychiatr Clin North Am 2017; 40(4): 739–749.

23. Lloyd A, White R, Eames C, et al. The util- ity of home-practice in mindfulness-based group interventions: A systematic review. Mindfulness 2018; 9(3): 673–692.

24. DiNardo M, Saba S, Greco CM, et al. A mindful approach to diabetes self- management education and support for veterans. Diabetes Educ 2017; 43(6): 608–620.

25. Whitebird RR, Kreitzer MJ, Vazquez- Benitez G, et al. Reducing diabetes distress and improving self-management with mindfulness. Soc Work Health Care 2018; 57(1): 48–65.

26. Tovote KA, Fleer J, Snippe E, et al. Individ- ual mindfulness-based cognitive therapy and cognitive behavior therapy for treating depressive symptoms in patients with diabetes: Results of a randomized controlled trial. Diabetes Care 2014; 37(9): 2427–2234.

27. Cipriani A, Brambilla P, Furukawa T, et al. Fluoxetine versus other types of phar- macotherapy for depression. Cochrane Database Syst Rev 2005; 4: CD004185.

28. Chamerlain JJ, Rhinehart AS, Shaefer
CF Jr, et al. Diagnosis and management
of diabetes: Synopsis of the 2016 Amer- ican Diabetes Association Standards of Medical Care in Diabetes. Ann Intern Med 2016; 164(8): 542–552.

29. Kroenke K, Spitzer RL, and Williams JB. The Patient Health Questionnaire-2: Va- lidity of a two-item depression screener. Med Care 2003; 41 (11): 1284–1292.

30. World Health Organization. The ICD- 10 classi cation of mental and behavioural

disorders. Diagnostic Criteria for Research.

Geneva: WHO; 1992.
31. Sundquist J, Lilja Å, Palmér K, et al.

Mindfulness group therapy in primary care patients with depression, anxiety and stress and adjustment disorders: Ran- domised controlled trial. Br J Psychiatry 2015; 206(2): 128–135.

32. Juul L, Pallesen KJ, Bjerggaard M, et
al. A pilot randomised trial comparing
a mindfulness-based stress reduction course, a locally-developed stress reduction intervention and a waiting list control group in a real-life municipal health care setting. BMC Public Health 2020; 20(1): 409.

33. Lopez-Montoyo A, Quero S, Monte- ro-Marin J, et al. E ectiveness of a brief psychological mindfulness-based inter- vention for the treatment of depression in primary care: Study protocol for a randomized controlled clinical trial. BMC Psychiatry 2019; 19(1): 301.

34. Castro A, García-Palacios A, García-Cam- payo J, et al. E cacy of low-intensity psychological intervention applied by ICTs for the treatment of depression in primary care: A controlled trial. BMC Psychiatry 2015; 15: 106.

35. Raj S, Sachdeva SA, Jha R, et al. E ec- tiveness of mindfulness based cognitive behavior therapy on life satisfaction, and life orientation of adolescents with depression and suicidal ideation. Asian J Psychiatr 2019;39: 58–62.

36. Mathur S, Sharma MP, and Bharath S. Mindfulness-based cognitive therapy in patients with late-life depression: A case series. Int J Yoga 2016; 9(2): 168–172.

37. Hamilton M. A rating scale for depres- sion. J Neurol Neurosurg Psychiatry 1960; 23: 56–62.

38. Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol 1959; 32: 50–55.

39. Kripalani S, Risser J, Gatti ME, et al. Devel- opment and evaluation of the Adherence to Re lls and Medications Scale (ARMS) among low-literacy patients with chronic disease. Value Health 2009; 12(1): 118–123.

40. Schmitt A, Gahr A, Hermanns N, et al. The Diabetes Self-Management Questionnaire (DSMQ): Development and evaluation of an instrument to assess diabetes self-

care activities associated with glycaemic control. Health Qual Life Outcomes 2013; 11: 138.

41. Polonsky WH, Fisher L, Earles J, et al. As- sessing psychosocial distress in diabetes: Development of the Diabetes Distress Scale. Diabetes Care 2005; 28(3): 626–631.

42. The WHOQOL Group. The World Health Organization Quality of Life Assessment (WHOQOL). Development and psycho- metric properties. Soc Sci Med 1998: 46: 1569–1585.

43. Baer RA, Smith GT, Hopkins J, et al. Using self-report assessment methods to explore facets of mindfulness. Assessment 2006; 13: 27–45.

44. Howard SJ. Mindfulness may have risks as well as bene ts. J Royal Soc Med 2016;109(7): 259–260.

45. Kulzer B, Albus C, Herpertz S, et al. Psychosocial aspects of diabetes mellitus (part 1), S2 guideline psychosocial aspects of diabetes—Long version. Diabetol Sto – wechsel 2013; 8: 198–242 (in German).

46. World Health Organization. Task- shifting: Rational redistribution of tasks among health workforce teams: Global recommendations and guidelines. [Internet]https://www.who.int/ workforcealliance/knowledge/resources/ taskshifting_guidelines/en/ (2008, accessed 13 November 2019).

47. Sussman JB and Hayward RA. An IV for the RCT: Using instrumental variables to adjust for treatment contamination in randomised controlled trials. BMJ 2010; 340: c2073.

8 Indian Journal of Psychological Medicine | Volume XX | Issue X | XXXX-XXXX 2020

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: