Abstract
Background
Little is known about how to tailor implementation of mental health services in low- and middle-income countries (LMICs) to the diverse settings encountered within and between countries. In this paper we compare the baseline context, challenges and opportunities in districts in five LMICs (Ethiopia, India, Nepal, South Africa and Uganda) participating in the PRogramme for Improving Mental health carE (PRIME). The purpose was to inform development and implementation of a comprehensive district plan to integrate mental health into primary care.
Methods
A situation analysis tool was developed for the study, drawing on existing tools and expert consensus. Cross-sectional information obtained was largely in the public domain in all five districts.
Results
The PRIME study districts face substantial contextual and health system challenges many of which are common across sites. Reliable information on existing treatment coverage for mental disorders was unavailable. Particularly in the low-income countries, many health service organisational requirements for mental health care were absent, including specialist mental health professionals to support the service and reliable supplies of medication. Across all sites, community mental health literacy was low and there were no models of multi-sectoral working or collaborations with traditional or religious healers. Nonetheless health system opportunities were apparent. In each district there was potential to apply existing models of care for tuberculosis and HIV or non-communicable disorders, which have established mechanisms for detection of drop-out from care, outreach and adherence support. The extensive networks of community-based health workers and volunteers in most districts provide further opportunities to expand mental health care.
Conclusions
The low level of baseline health system preparedness across sites underlines that interventions at the levels of health care organisation, health facility and community will all be essential for sustainable delivery of quality mental health care integrated into primary care.
Introduction
The unmet need for mental health care is high in most low- and middle-income countries (LMICs) [1], [2]. In some LMICs, such as Ethiopia, only 10% of people with severe forms of mental disorders ever receive effective care [3]. The consequences of untreated mental disorders include suffering, diminished quality of life and disability [4], human rights abuses, stigma and discrimination [5], poverty [6], poor physical health and premature mortality [7]. In response to this gross neglect of people with mental disorders, the World Health Organization (WHO) launched the mental health Gap Action Programme (mhGAP) which advocates scaling up of mental health care through integration into primary health care (PHC) and general medical services [8]. Evidence-based packages of care for prioritised mental, neurological and substance use (MNS) disorders in non-specialised health care settings (the mhGAP-Intervention Guide; mhGAP-IG) have been developed to support this process [9]–[11].
The decades of experience with attempts to integrate mental health care into PHC in LMICs have highlighted the challenges faced on the ground, particularly with respect to sustainability [12]. In order to maximise the beneficial impact of mhGAP, due attention needs to be paid to the process of ‘how to’ successfully implement and scale-up of mental health care in PHC [13]. Evidence and experience to date indicate that stand-alone training of PHC workers in mental health care is necessary but by no means sufficient to guarantee delivery [14]. Other components thought to be necessary are summarised in Figure 1 [14]–[17].
The Programme for Improvement of Mental health carE (PRIME) is operating in five LMICs (Ethiopia, India, Nepal, South Africa and Uganda) to provide evidence to support the implementation and scale-up of mental health care in primary care and maternal health care settings [18]. In each PRIME country a comprehensive mental health care plan will be developed for ‘districts’ (a geographically defined administrative unit for health service delivery), then implemented, evaluated and scaled-up. The PRIME mental health care plans will be multi-faceted and targeted at the three levels described above: health service organisation, health facility and community. The health facility level intervention will be based on the mhGAP-IG packages, adapted for the country context and restricted to priority MNS disorders selected for each country: psychosis, depression, alcohol use and maternal mental disorders in all PRIME countries, with epilepsy included additionally in Ethiopia, Nepal and Uganda.
We conducted a systematic baseline situation analysis in each of the five PRIME study sites, to describe the country-specific and cross-country factors relevant to development and implementation of a district-level mental health care plan. In this paper, we present an analysis of common issues faced by the differently resourced PRIME country districts in order to highlight the challenges and opportunities for integrating mental health into primary care across settings.
Methods
The PRIME program has been described elsewhere [18] but relevant details are outlined below.
Settings
The PRIME countries were selected intentionally to represent diverse settings that would give information about the range of approaches needed to implement mental health care. See [18] for further detail. The PRIME countries are from two continents (Africa and Asia), have different resource levels (Upper middle-income (South Africa), lower middle-income (India) and low-income (Ethiopia Uganda and Nepal)) and include a fragile state (Nepal). The countries share political commitment or intention to scale up of mental health care, a recognised prerequisite for service expansion [15], with Ministry of Health representatives from each country as project collaborators. The country districts are Sodo (Ethiopia), Kamuli (Uganda), Chitwan (Nepal), Sehore (India) and Dr Kenneth Kaunda district (Dr KK district) (South Africa). As far as possible, these districts were selected to be representative of the wider country context; none were existing sites for mental health research and none contained national academic centres for mental health. However, because of the fragility of the setting, the Chitwan district (Nepal) was selected on the basis of logistical feasibility and is considered to be relatively better-resourced than the rest of the country.
Study design
A cross-sectional situation analysis largely relying upon information available in the public domain and supplemented by contact with key officials and service heads.
Situation analysis tool
For the purposes of the PRIME project, we developed a new situation analysis tool (downloadable from http://www.prime.uct.ac.za/index.php/research/tools.html). Existing methods and tools for appraising mental health systems and services in LMICs did not meet the needs of PRIME either due to reliance on primary research [19], [20] or because they were not applicable to small population units, such as districts and sub-districts [21].
The situation analysis was orientated around those factors required for implementation of the WHO's mhGAP-IG [11] in the PHC setting [15]. A small number of items overlapped conceptually with items from the WHO-Assessment Instrument for Mental Health Systems (WHO-AIMS) [21]. Where duplication occurred, the WHO-AIMS item was included in preference. Methodology for in-depth case studies of mental health services in LMICs was also reviewed to identify further domains [19]. The draft situation analysis tool was circulated within the PRIME Research Programme Consortium, which includes expertise in health service evaluation, planning and implementation of mental health care services, and both multi-sectoral and community engagement in mental health care. To ensure a comprehensive approach feedback was also solicited from other experts in the field.
The situation analysis tool comprised six sections:
Section I (Relevant context; 39 items) covered environmental, population, economic, health (including reproductive health and HIV) and social indicators.
Section II (Mental health politics, policies and plans; 15 items): national and local political support for mental health care, including budgets, policies, plans, legislation and welfare benefits, and details of the specialist mental health workforce at national level.
Section III (Mental health treatment coverage; 19 items): prevalence of MNS disorders, numbers receiving care and estimated treatment coverage.
Section IV (District level health services; 62 items): general health services, including the available cadres of health professionals at each level in the system, specialist mental health services, with particular reference to elements of specialist mental health care needed to support PHC-based mental health care and delivery of the mhGAP packages [11], [22], the extent and nature of mental health care delivered in primary care and health systems structures to support integration of mental health care into PHC.
Section V (Community; 17 items): sociocultural aspects, relevant non-health sector organisations and awareness-raising activities.
Section VI (Monitoring and evaluation; 4 items): health information systems, and monitoring and evaluation of services.
For sections I-III, information was collected for both the national and district level to be cognisant of national programs even if these were absent in the district selected for the PRIME project. A section was also included for a narrative description of the district.
The situation analysis tools were completed by project co-ordinators and research staff from the PRIME countries between October and December 2011 and then reviewed by CH and MDS for completeness and comprehensibility. Discrepancies between data sources were noted, prompting cross-checking by project co-ordinators where possible. Concerns about the veracity of the data obtained from a particular data source were noted. Sources of information contributing to the situation analysis were documented, together with the date of data collection, thus allowing the document to be updated when new information became available.
Ethics statement
Ethical approval was obtained from the Institutional Review Board of the College of Health Sciences, Addis Ababa, Ethiopia, but was not required from the other PRIME countries due to reliance on information available in the public domain. All data collected for the situation analysis were aggregated. Interviews were only conducted with people within their professional capacity as health administrators.
Results
Information for completion of the situation analyses was drawn from a variety of sources in each country, including health facility and system records, health surveillance data, research publications, governmental and non-governmental reports, and supplemented with personal communication with key service co-ordinators. The data sources are listed by country in Table S1. Country teams reported their uncertainty about some sources of information, particularly data obtained as part of routine health service monitoring. The most incomplete section of the situation analysis was that relating to the community due to the lack of routinely collected data.
The broader district contexts
There was a wide diversity of ethnicities, religions and languages in each of the districts. See table 1. In none of the districts could literacy be assumed, and was recorded as particularly low in Sodo (Ethiopia) (22%). Dr KK district (South Africa) was characterised by both high density urban populations and low density rural populations. A general lack of infrastructure was identified as a problem across sites, but particularly in Sodo (Ethiopia) where most of the population did not have electricity, sanitation or access to clean water within their homes.
Table 1. The context of mental health care scale-up across PRIME districts.
Ethiopia | Uganda | India | Nepal | South Africa | |
District name | Sodo (Gurage Zone) | Kamuli | Sehore (Madhya Pradesh State) | Chitwan | Dr Kenneth Kaunda (North West Province) |
District population | 161,952 | 740,700 | 1,311,008 | 575,058 | 632,790 |
% rural | 90% | 97% | 81% | 73% | 14% |
Population density(persons/km2) | 187 | 222 | 199 | 259 | 55 |
Ethnic diversity | >4 ethnic groups | >4 ethnic groups | 1 ethnic groups | >9 ethnic groups | >4 ethnic groups |
Linguistic diversity | >4 languages | 3 languages | 1 language | >8 languages | >4 languages |
Religious diversity | Predominantly Christian | Christian and Muslim | Predominantly Hindu and Muslim, but also Christian and Sikh | >7 religions | Predominantly Christian |
Literacy | 22% | 63% | 71% | 70% | 88% |
% households with electricity | Only available in urban setting | Unknown | 91% | 69% | 82% |
% households with functioning latrine | 5% | 70% | 23% | 80% | 76% |
% households with clean water supply | 20% | 57% | 80% | 86% | 97% |
Top five reasons for out-patient visits | Malaria | Malaria | Acute diarrhoea | Impetigo/boils | HIV |
URTI | URTI | Food poisoning | URTI | Hypertension | |
Diarrhoea | Intestinal parasites | Measles | LRTI | Tuberculosis | |
LRTI | STIs &HIV/AIDS | Chicken pox | Falls/injury | Asthma | |
Intestinalparasites | Diarrhoea | Dengue | Otitis media | Diabetes | |
MNS disorders in top 10 out-patient visits | No | No | No | No | Yes (Epilepsy-6th, mental disorders-10th) |
HIV prevalence | <1% | 6.5% | <1% | <1% | 30% |
Other important contextual public health factors | Undernutrition, reproductive health | Increasing burden of NCDs | Infant and maternal mortality, family planning and communicable diseases | Dengue outbreaks, post-conflict health | High burden of infectious chronic diseases (HIV & tuberculosis) and concomitant rising burden of NCDs |
MNS disorders = Mental, neurological and substance use disorders; URTI = Upper Respiratory Tract Infection; LRTI = Lower Respiratory Tract Infection; STIs = Sexually transmitted Diseases; HIV = Human Immunodeficiency Virus; AIDS = Acquired Immunodeficiency Syndrome; NCDs = Non-Communicable Disorders.
The health facilities in the districts were mostly concerned with providing services for acute communicable diseases, except in South Africa where chronic communicable diseases and non-communicable diseases (NCDs) predominated. Only in Dr KK district (South Africa) were MNS disorders among the top ten reasons for out-patient attendance. The burden of HIV was high in Dr KK district (South Africa) (30% adult seroprevalence) and Kamuli (Uganda) (6.5% adult seroprevalence) but was a much lower health priority in the other countries (<1% seroprevalence). Other notable public health issues burdening existing health services were outbreaks of dengue fever in Chitwan (Nepal), undernutrition and reproductive health issues in Sodo (Ethiopia) and emerging NCDs in Kamuli (Uganda).
General and PHC context for integrating mental health care
The health system infrastructure varied across the PRIME districts, including the definition and scope of primary health care. See Table 2. In Sodo district (Ethiopia), only PHC services were present, staffed by non-physicians and mostly limited to out-patient care with a strong focus on prevention and promotion. In all other PRIME districts, secondary health care services were present, including hospitals staffed by medical doctors.
Table 2. General and primary health care context for integrating mental health care in PRIME districts.
Ethiopia | Uganda | India | Nepal | S. Africa | |
Health facilities within the AHU | |||||
Hospitals | 0 | 2 | 2 | 2 | 4 (+ 1 mental hospital) |
Community health centres | 0 | 0 | 5 | 0 | 9 |
Primary care clinics | 8 | 41 | 15 | 4 | 28 |
Sub-health centres | 0 | 0 | 152 | 0 | 0 |
Health Posts | 58 | 0 | 0 | 5 | 0 |
Sub-health posts | 0 | 0 | 0 | 41 | 0 |
Other | None | None | None | None | 15 mobile clinics |
Available cadres of facility-based PHC workers for mental health care | |||||
Doctors | No | Yes | Yes | No1 | Yes |
Non-physician clinical officers | Yes | Yes | Yes | Yes | No |
Nurses | Yes | Yes | Yes | Yes | Yes |
Psychologists/counsellors | No | No | Yes | No | Yes |
Social workers | No | No | Yes | No | Yes |
PHC worker training in mental health | |||||
Pre-service | Limited, with minimal clinical exposure | Very limited (<1 week) | None | None | Yes (20% of nurse training) |
In-service | None | None within last 2 years | One-off training for selected medical officers and frontline workers | Small number of PHC workers received five days training in last year | Limited |
Psychotropic medications in PHC | |||||
Antipsychotics | None | Chlorpromazine | None | None | All in WHO EDL2 |
Haloperidol | |||||
Antidepressants | None# | Imipramine | None | None | All in WHO EDL |
Amitriptyline | |||||
Mood-stabilisers | None | None | None | None | All in WHO EDL |
Anxiolytics | Diazepam | Diazepam | Diazepam | Alprazolam1 | All in WHO EDL |
Antiepileptics | Phenobarbitone | Phenytoin, | Phenytoin | Phenobarbitone1 | All in WHO EDL |
Phenobarbitone | |||||
Availability of psychotropic medications in PHC | |||||
Reliable supply | No | No | No | No | Yes |
Affordability | Only free for those exempted due to extreme poverty (<20%) | All available medications are free | All PHC services are free | All available medications are free | All PHC services are free |
In Nepal, doctors and psychotropic medications are only available at the highest level of primary care, which is not locally accessible for the majority of the population and differs from the definition of PHC in the other country settings.
World Health Organisation's Essential Drug List.
Pre-service training of PHC workers in mental health care was limited to a few hours or days in all districts except Dr KK district (South Africa) where it formed a substantial percentage of the training time (20%). No in-service training had been conducted in Sodo (Ethiopia) or Chitwan (Nepal) districts. In Kamuli (Uganda), Sehore (India) and Dr KK district (South Africa), in-service training was sporadic and not comprehensive in terms of personnel.
The full range of psychotropic medication recommended by the WHO, and included within the essential drug lists of all PRIME countries, was only available in PHC services in Dr KK district (South Africa). In Sodo (Ethiopia) and Sehore (India) districts, psychotropic medication was limited to antiepileptic medication and benzodiazepines (anxiolytic medication). In the low-income country sites the supply of psychotropic medications was considered to be unreliable. All districts except Sodo (Ethiopia) provided free access to medication at the PHC level, including psychotropic medication when available. In Sodo (Ethiopia) medication costs were mostly borne by patients and their families on an out-of-pocket basis. Primary care-based, non-physician health workers who had received appropriate training were permitted to prescribe psychotropic medication in all districts except Sehore (India), but not permitted officially to diagnose or treat mental disorders independently except in Kamuli (Uganda) [23].
Existing mental health care provision in PRIME districts
(i) Specialist mental health services
See Table 3. In Sodo (Ethiopia) there was no specialist mental health care provision within the district, with the nearest out-patient service 30 to 50 km away staffed by two psychiatric nurses serving a population of over one million people. In Kamuli (Uganda), one psychiatric clinical officer and one psychiatric nurse served a population of three-quarters of a million. In Chitwan (Nepal) two public-sector psychiatrists served the district population of over half a million, but also provided care for people from neighbouring districts. The central location of specialist care meant that it was inaccessible to many people due to the geographical terrain. In Sehore (India), within the public sector, one psychiatrist, one clinical psychologist, one generic counsellor and one mental health support worker served a population of 1.3 million. The Dr KK district (South Africa) was relatively better served by specialist mental health care, with a hospital specialising in care for neurological and psychiatric disorders, general hospitals with capacity for acute admissions for psychiatric crises and a multi-disciplinary team providing out-patient care, including outreach, for people with severe mental disorders. In Sehore (India) and Dr KK district (South Africa) multi-disciplinary mental health workers were also found in non-governmental organisations (NGOs) and the private sector.
Table 3. Baseline mental health care in PRIME districts.
Ethiopia | Uganda | India | Nepal | S. Africa | |
Specialist mental health services in district | |||||
In-patient mental health facilities | None | None | Acute admissions to the district general hospital. | Within general hospitals: 5 beds (public hospital in district capital), 25 beds (NGO), 48 beds (private) | 1 public hospital providing specialist care for MNS disorders. Acute admission to 4 general hospitals |
Out-patient mental health facilities | None | Yes | Yes | None (public)Yes (private, NGO | Yes |
Psychological therapies | None | None | Yes, generic counselling | Private hospital – group therapy, motivational interviewing | Yes. A range of therapies offered according to professional preference and training. CBT is commonly used at specialist facility. |
Alcohol detoxification | None | None | Not in public sector. One NGO de-addiction centre. | 2 hospital-based facilities (1 public, 1 private) | 1 public, 1 private facility (86 beds) |
Mental health rehabilitation | None | None | None | None | Yes |
Mental health workers in district | |||||
Psychiatrists | 0 | 0 | 1 (public) | 2 (public), 3 (private) (in district capital) | 2 full time psychiatrists in psychiatric hospital who also provide district outreach services part-time |
Neurologists | 0 | 0 | 0 | 0 | 1 |
Psychiatric clinical officer/practitioner | 0 | 1 | 1 (private) | N/A | 0 |
Psychiatric nurses | 0 | 1 | 0 | 0 (public), 4 (private) | No dedicated psychiatric nurses |
Clinical psychologists | 0 | 0 | 1 (public), 2 (NGOs) | 0 | 1 at PHC, 3 in district hospitals. 5 in specialist facility which also has 3 Psychology interns |
Counsellors | 0 | 0 | 1 (public), 1 (NGO) | 0 (public), 7 (private) | 139 (lay health worker counsellors for pre-post HIV testing, behaviour change and adherence counselling) |
Mental health social workers | 0 | 0 | 1 (NGO) | 0 | 2 or 3 |
Mental health occupational therapists | 0 | 0 | 1 (NGO) | 0 | 0 |
Mental health support workers | 0 | 0 | 1 (public), 1 (NGO) | 0 | 0 |
Existing mental health care in PHC | |||||
Current actions by prescribers in PHC | SMD identification and referral. Epilepsy follow-up care following specialist review. | Identification and referral of SMD | No intervention for SMD or Depression. Epilepsy treatment initiated. | SMD identification and referral. Prescription of benzodiazepines for depression. Epilepsy treatment initiated. | SMD identification, prescription of psychotropic medication and referral. |
Current actions by non-prescribers in PHC | None | Identification and referral | None | Identification and referral | Identification and referral |
Availability of evidence-based psychosocial interventions in PHC | |||||
Problem-solving, behavioural activation | None | None | None | None | Limited service by the one available psychologist |
Interpersonal psychotherapy, cognitive behavioural therapy, motivational interviewing | None | None | None | None | None |
PHC = Primary health care; MNS disorders = Mental, neurological and substance use disorders; NGO = non-governmental organisation; SMD = severe mental disorders; HIV = human immunodeficiency virus.
In-patient psychiatric care was unavailable in Sodo (Ethiopia) and Kamuli (Uganda) districts. Public sector services for people with alcohol disorders were only available in Chitwan (Nepal) and Dr KK district (South Africa).
Public sector psychological therapies were absent in the low-income country districts (in Ethiopia, Nepal and Uganda) and were limited to a small number of clinical psychologists and general counsellors in the middle-income country districts (in India and South Africa), although provision from NGOs and the private sector was better in these settings. Facility-based mental health rehabilitation services were only available in Dr KK district (South Africa).
(ii) Mental health care in PHC at baseline
There was evidence of very limited delivery of mental health care in PHC settings across the country sites. In the Dr KK district (South Africa) PHC workers provided follow-up clinical care for people with chronic and severe mental health problems, including continuing the prescription of medication, psycho-education and some counselling. In the other country sites, when present, PHC activities were largely limited to identification of people with severe mental disorders and direct referral to specialist mental health services without any treatment intervention. For epilepsy, there was evidence of more active intervention within PHC, with initiation of prescribing of antiepileptic medication in Sehore (India) and Chitwan (Nepal) and continuation of antiepileptic medication initiated by specialists in Sodo (Ethiopia). Interventions for depression and other common mental disorders in PHC were extremely limited across sites. Evidence-based psychological therapies (World Health Organisation, 2010) were not available in any of the PHC facilities in the PRIME districts except for DR KK district (South Africa) where problem solving and behaviour activation therapy was available from one psychologist.
(iii) Treatment coverage for MNS disorders
Information on treatment coverage for the PRIME priority MNS disorders was difficult to access and not generally considered to be reliable. Epidemiological estimates of community prevalence of the priority MNS disorders were available for the district neighbouring Sodo in Ethiopia [24]–[27]. In Chitwan (Nepal), community prevalence estimates were available for depression and other common mental disorders [28], and similarly for the North West province in which Dr KK district (South Africa) is located [29]. For the remaining MNS disorders and in the other PRIME sites, it was necessary to rely on extrapolation from national prevalence estimates (India, South Africa) or studies conducted in other LMICs (Uganda, Nepal). Estimates of numbers of people with MNS disorders in the district accessing care were not available in Kamuli (Uganda) and Sehore (India) and only limited information was available in Sodo (Ethiopia), Chitwan (Nepal) and Dr KK district (South Africa). Although all districts had theoretical mechanisms for recording treatment episodes for persons with mental disorders (see Table 4), collated figures for each district were either not available or deemed incomplete or too unreliable to allow confident estimates of treatment gap. On the basis of the available data, it was apparent that treatment coverage was extremely low, except in the South African district where treatment coverage in the form of psychotropic medication for severe mental disorders was thought to be moderate.
Table 4. Health service organisation to support mental health care in PRIME districts.
Ethiopia | Uganda | India | Nepal | South Africa | |
Mental health service organisational structures within the district | |||||
District mental health plan or implementation of national mental health plan | No | No | No, but there is a mental health programme | No | Yes |
Implementation of mental health legislation | No | No | Yes | No | Yes |
Budget for mental health (% of district health budget) | No | No | No | No | Yes (not ring-fenced) |
Mental health co-ordinator | No | No | No | Yes | Yes |
Mental health service organisation in PHC | |||||
Mental health part of PHC basic packages | Yes, but not implemented | Yes, but limited implementation | Yes, but not implemented | No | Yes, implemented in practice |
Information system for recording MNS disorders | 2 categories: ‘mental or behavioural disorder’ and ‘epilepsy’ | 7 mental health conditions included in HMIS | Not in HMIS. Categories of ‘mild, moderate and severe’ disorders. | 7 mental health conditions included in HMIS | No specific disorders recorded.Mental health visits (<18/≥18 years), Mental health admissions (<18/≥18 years),Mental health involuntary admission rate |
Monitoring and evaluation systems for quality of mental health care | No | No | No | No | Yes |
Screening tools for MNS disorders | No | No | No | No | Yes |
Register of persons with MNS disorders | No | No | No | Yes | Yes |
Intervention guidelines for MNS disorders | No | No | No | No | Yes |
Mechanism for detecting drop-out from mental health care | No | No | No | No | Yes, through CHW tracing |
Training manuals for mental health | No | No | No | No | Yes |
Staff supervision structures for mental health | No | No | No | No | Yes |
Interface between PHC and specialist mental health services | |||||
Referral from PHC to specialists | Yes | Yes | Yes | Yes | Yes |
Back-referral from specialists to PHC | No | No | No | No | Yes |
Phone consultation | No | No | No | No | No |
Face-to-face meetings | No | No | No | No | Yes |
Models of care for chronic disorders in PHC | |||||
Adherence support | Yes, for HIV & TB | Yes, for HIV & TB | Yes, for HIV & TB | No | Yes, for HIV |
Outreach for loss to follow-up | Yes, for HIV | Yes, for HIV | Yes, for HIV | No | Yes, for HIV, TB and SMD |
Non-health sector supports for mental health care | |||||
Disability payments | No | No | Yes, for SMD | Yes, for SMD | Yes, for SMD and epilepsy |
PHC = primary health care; Health Management Information System; MNS disorders = mental, neurological and substance use disorders; Community Health Workers; HIV = Human immunodeficiency virus; TB = tuberculosis; SMD = severe mental disorders.
District-level health service organisation for mental health care in PHC
See Table 4. Despite the presence of national mental health policies or programmes in South Africa, India and Nepal, only one sub-district of Dr KK district (South Africa) and Sehore (India) had initiated the implementation of plans, legislation and making funds available at the district level. All countries had included mental health among the basic health services delivered in PHC, but this was reported to be implemented only in Dr KK district (South Africa). Health Management Information System (HMIS) indicators specific to mental disorders were present in some countries: Kamuli (Uganda) and Chitwan (Nepal) districts both had seven categories of MNS disorders included within the HMIS. However, In Sodo (Ethiopia), Sehore (India) and Dr KK district (South Africa), very limited categories were available for reporting. A dedicated mental health co-ordinator was absent in all districts except Dr KK district (South Africa) and Chitwan (Nepal).
Most of the service organisation components considered important to support delivery of mental health care in PHC were absent from most districts. Specifically, there were no PHC worker training manuals, screening tools or guidelines for interventions for MNS disorders, mechanisms to register people with severe mental disorders and detect drop-out from care, supervision systems or monitoring and evaluation systems for mental health care in Sodo (Ethiopia), Kamuli (Uganda), Sehore (India) or Chitwan (Nepal).
Nonetheless, all districts had relevant models of PHC for chronic communicable disorders, specifically tuberculosis (TB) in all districts and HIV in most districts. Service characteristics for these conditions included adherence support and outreach for patients lost to follow-up. Disability payments were, in principle, available for people with severe mental disorders in Sehore (India), Chitwan (Nepal) and Dr KK district (South Africa) but absent from the Ethiopian and Ugandan sites, although low levels of awareness of entitlement in Chitwan (Nepal) meant that few eligible people benefitted in practice.
The interface between mental health specialists and PHC was mostly limited to paper referrals from PHC to specialist care, except in Dr KK district (South Africa) where back-referrals from specialist care to PHC and face-to-face meetings with mental health specialists, including provision of supervision, were reported.
Community engagement and care
See Table 5. Community-level awareness about MNS disorders and the existence of effective treatments (sometimes termed “mental health literacy” [30]) was recognised to be limited across the PRIME districts, with strong reliance on self-help, informal healing approaches, and more formal traditional and religious healing. In Ethiopia, information about sociocultural explanatory models and help-seeking behaviours in the neighbouring district was available from published research studies [31]; however, detailed information about the extent of help-seeking from traditional and religious healers for the different MNS disorders was mostly lacking across sites, particularly for alcohol use disorders. Models of collaboration between PHC services and traditional and religious healers were absent from all PRIME districts.
Table 5. Community context for scaling up mental health care in districts in PRIME study countries.
Ethiopia | Uganda | India | Nepal | South Africa | |
Interface between PHC and community | |||||
Community-based PHC workers (paid) | Yes (1 per 2500 population) | No | Yes: Accredited social health activists (1 per 1000), DOTS providers | No | Yes (n = 1577), Includes DOTS providers, adherence supporters, health educators |
Community-based health volunteers | Yes | Yes, identify and refer. | Yes, for HIV care: outreach workers for people dropping out of care and peer educators | Yes (1 per 1000 population) | No |
Links between PHC and traditional or religious healers | None | None | None | None | None |
Formal support for families | None | Minimal | None | None | Yes |
Use of traditional/religious healers | |||||
Psychosis | High [31] | High | High | High | High |
Depression | Low [31] | Low | High | Low | Unknown |
Alcohol use disorders | Low | Low | High | Low | Unknown |
Epilepsy | High [31] | High | High | High | Unknown |
Community attitudes | |||||
Stigma | High [32], [33] | High | High | High | Significant |
Abuse | Chaining in homesStones thrown [32], [33] | Common, in many forms | Restraint at home | Chaining in homesStones thrown | Financial exploitation |
Community resources | |||||
Peer support/self-help groups | None | Yes, livelihoods for persons with mental disorders | Yes, peer educators for HIV | None | Alcoholics anonymous |
NGOs, FBOs or CBOs working with persons with MNS disorders | None | None | Only substance use | Only substance use | Yes, providing limited social support and carrying out advocacy work for persons with severe mental disorders and intellectual disabilities. |
Supported housing | None | None | None | None | No |
Community-based rehabilitation | None | None | None | None | Very limited |
OTHER | Court-linked counselling for alcohol problems |
DOTS = Directly Observed Treatment – Short-course; NGO = Non-governmental organization, FBO = faith-based organisation, CBO = Community-based organization.
Stigma towards, and abuse of, persons with MNS disorders was noted in all PRIME districts, with research evidence from Ethiopia [32], [33]. The nature of abusive practices varied across sites, with use of physical restraints in Sodo (Ethiopia), Kamuli (Uganda), Chitwan (Nepal) and Sehore (India), while financial exploitation was thought to be the more prominent form of abuse in Dr KK district (South Africa). In all sites, the problem of homeless persons with MNS disorders was apparent to investigators but not quantified.
In Sehore (India), Sodo (Ethiopia) and Dr KK district (South Africa), paid community health workers formed a reasonably robust interface between facility-based PHC services and the community. Volunteer health workers were also present in most of the districts. In none of the sites were these community health workers engaged in mental health care.
NGOs, faith-based organisations and community-based organisations were present in all districts, but were only working with persons with mental disorders in Kamuli (Uganda) and Dr KK district (South Africa), and with persons with substance use disorders in Chitwan (Nepal) and Sehore (India). Self-help groups relating to MNS disorders were only present in Dr KK district (South Africa) for alcohol use disorders and in Kamuli (Uganda) for people with all types of mental disorders. Only in the Kamuli (Uganda) district was a community organisation working to improve the livelihoods of persons with MNS disorders [34]. Public sector sheltered housing was absent in all districts. Apart from very limited provision within Dr KK district (South Africa), there were no community-based rehabilitation services for persons with MNS disorders in the PRIME districts.
Discussion
The PRIME situation analysis tool provided systematic information on the context (national and district), the existing structures and systems to support integration of mental health care into PHC, and the challenges and potential opportunities in the five country sites. The PRIME study districts face substantial contextual and health system challenges in developing and implementing mental health care plans that will be able to deliver adequate services for people with priority MNS disorders in primary care. Although many difficulties were more pronounced in the low-income country settings, common challenges and opportunities were seen across the range of PRIME countries.
A previous situation analysis [20] of three sub-Saharan African countries (Ghana, South Africa and Uganda) examined the extent of implementation of recommendations for integrating mental health into PHC outlined in the 2001 World Health Report [35]. In our study, by going beyond mental health service components and also examining the broader community and health service context, we were additionally able to identify likely system constraints and opportunities for integrating mental health care. Furthermore, the PRIME situation analysis tool had the advantage of relying largely on publically available data with no need for primary research data.
A limitation of the PRIME study approach was that the situation analysis may not have given a fully accurate picture of the situation on the ground; for example, potentially under-estimating the numbers of people with MNS disorders already receiving care in PHC due to poor information systems. We attempted to overcome this limitation by triangulating sources of data and contacting key service co-ordinators and planners to provide clarification where possible. An additional limitation was that the PRIME situation analyses necessarily focused on readily measurable health system structures and, in the absence of previously published reports, were unable to give an in-depth understanding of attitudinal factors, for example, acceptability to PHC workers of task sharing mental health care. This will be addressed in other qualitative formative research, being conducted by the PRIME study [18]. Nonetheless, in the context of limited time and resources to undertake primary research, the PRIME situation analysis tool yields data that has value for the planning of integrated mental health services, as well as evaluating the impact of implementing these plans.
Cross-country challenges
Across all PRIME country districts, competing public health priorities, financial constraints and high levels of poverty and social deprivation are enormous challenges to the delivery of mental health care and define the context in which policy-makers and planners need to be engaged. Limited levels of community awareness and high levels of stigma and abuse also emerged as cross-country challenges requiring intervention in order to improve demand for services, retention in services and support for people with MNS disorders. Health system structures and systems to support mental health care were also largely absent; dedicated service co-ordinators and budget, reliable supplies of medications, decision-support tools for clinicians, and monitoring and evaluation mechanisms will all need to be introduced as part of a comprehensive and workable mental health care plan.
Three other challenges seen across country sites will now be considered in greater depth: deficient information systems, lack of specialist mental health professionals and the feasibility of psychosocial care.
Deficient information systems
Comprehensive information about treatment coverage for MNS disorders was lacking across all sites. Being able to track changes in treatment coverage for priority MNS disorders is essential for monitoring the impact of initiatives to implement and scale-up mental health care. Health system interventions to improve the recording and reporting of service utilisation are, therefore, needed alongside interventions to train PHC workers to deliver mental health care. Further research is needed to identify optimal service utilisation indicators for mental health care integrated into PHC in LMICs. The situation analysis also revealed the absence of information on the equitable distribution of treatment coverage; for example, for women, the poor and those living in rural areas. Poverty is an established determinant of MNS disorders, as well as a consequence of mental ill-health, meaning that persons with MNS disorders are often to be found amongst the poorest in society [6]. Given the restrictions on access to free PHC services in Sodo (Ethiopia) and absence of disability payments for those with severe mental disorders in both Sodo (Ethiopia) and Kamuli (Uganda) districts, the extent to which poverty is an obstacle to accessing care in these districts needs to be evaluated. Beyond the impact of gender, monitoring the equitable distribution of treatment coverage is likely to require primary research to supplement that available from routine service indicators.
Lack of specialist mental health care
The scarcity of specialist mental health workers to support the delivery of mental health care by PHC workers was evident across all sites, except in some sub-districts of the Dr KK district (South Africa) that were relatively well resourced but still unable to meet the need. The acute shortage of mental health professionals across LMICs is well documented [36] but starkly revealed in the PRIME settings which were intentionally selected to represent the conditions faced by the majority of people in each country, rather than locating the research sites close to specialist facilities or research centres. Studies have shown repeatedly that, without some form of supportive supervision by specialist mental health professionals, it is not possible to achieve sustainable integration of mental health care into PHC of an adequate quality [14], [15], [37]. As well as increasing the absolute numbers of specialist mental health professionals there also needs to be political support for a shift in their role from direct delivery of services to a focus on training and supervision [15]. In order to achieve adequate levels of supervision and support from specialist services in the PRIME sites, lobbying for additional specialist mental health workers or using innovative methods, such as peer support or remote supervision using telemedicine, will need to be considered.
Feasibility of psychosocial care
Going beyond the absolute numbers of mental health professionals, there is also the challenge of non-availability of a multi-disciplinary workforce trained to provide psychosocial care. Public sector psychologists, social workers, counsellors and support workers were in short supply. The evidence-based psychosocial interventions advocated within the mhGAP intervention guide may not be deliverable on the ground if appropriately skilled health personnel are not available to deliver and supervise such care. PHC nurses and community-based health workers have been shown to be able to provide effective circumscribed psychosocial interventions in LMIC settings [38], [39], as well as psychosocial interventions implemented outside the health system as evidenced in Nepal [40], but it remains to be seen whether this is feasible outside of a research project. Again, more innovative approaches may be required. There is preliminary evidence from Uganda that traditional healers can be trained to deliver basic psychosocial interventions [34], but the lack of collaborative frameworks between health systems and traditional and religious healers may limit the feasibility of this approach in the PRIME settings. In Ethiopia, there are successful, NGO-led community-based rehabilitation programmes within which mental health care could be integrated [41], although they are not currently operating in the PRIME site, and setting up parallel systems to the existing health service is unsustainable. Expansion of the evidence base on psychosocial interventions that can be delivered the setting of a busy PHC clinic is sorely needed and will be a focus of PRIME in Ethiopia, Nepal and South Africa.
Cross-country opportunities
A clear opportunity identified within each of the PRIME districts was the presence of existing services for chronic disorders. Depression and alcohol use disorders, in particular, have been shown to be highly prevalent in people with chronic infectious and non-communicable disorders [42]. Improving detection and management of mental disorders through the integration of mental health care into platforms of care delivery for HIV, TB and other NCDs has the potential to improve both physical and mental health outcomes [43], [44]. For psychotic disorders and epilepsy, specific models of chronic care are likely to be required [37], but can make use of the structures and systems of existing chronic disease services in order to maximise retention in care and enhance medication adherence. Models of chronic care, for example, the Innovative Care for Chronic Conditions Framework [45], offer the potential to be more patient-centred, comprehensive, collaborative and proactive than care models for acute illnesses. Furthermore, certain aspects of care for chronic disorders, such as self-help groups, service user and family participation and attention to PHC worker burnout may be relatively better developed in the field of mental health care. With the integration of mental health into PHC the care of all chronic disorders could be enhanced.
Conclusions
The low level of baseline health system preparedness across sites underlines that interventions at the levels of health care organisation, health facility and community will all be essential for sustainable delivery of quality mental health care integrated into primary care. Such a multi-faceted approach will be evaluated in the implementation of the PRIME mental health plans.
Supporting Information
Acknowledgments
The authors wish to acknowledge gratefully the valuable feedback received on the PRIME situation analysis tool during the development phase.
Funding Statement
This document is an output from the PRIME Research Programme Consortium which has been funded by UK Aid from the UK Government; however the views expressed do not necessarily reflect the UK Government's official policies. All authors have declared that no competing interests exist. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
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