How to Screen Staff Mental Health Without Hiring a Consultant

Most HR departments in Kenya will tell you that staff wellness matters. Fewer can tell you what they've actually done about it. The conversation around workplace mental health has progressed enormously in the last few years — the Ministry of Health launched the National Guidelines on Workplace Mental Wellness in September 2023, county governments are beginning to talk about psychosocial risk, and the language of "burnout" and "anxiety" has entered boardroom vocabulary. But when it comes to measuring any of this in a structured, repeatable way, most organisations are still guessing.

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The gap between concern and measurement

The numbers suggest the gap is costly. The Kenya Mental Health Investment Case found that mental health conditions cost the economy KES 62.2 billion in 2020, roughly 0.6% of GDP. Nearly half of that loss came from absenteeism, another 30% from presenteeism — people showing up to work but operating well below capacity. An estimated 3.7 million Kenyans in the workforce are dealing with conditions like depression, anxiety, substance use disorders, and burnout at any given time.

These are not niche problems. They show up in your team as unexplained sick days, quiet disengagement, interpersonal friction, and turnover you can't quite explain. The issue isn't that employers don't care. It's that most don't have a systematic way to ask the right questions, score the answers, and know what to do with the results.

Annual engagement surveys don't cut it. A Likert-scale question that asks "how would you rate your wellbeing on a scale of 1 to 5" tells you almost nothing. What you need is clinical structure — validated instruments that have been tested across populations, with established scoring thresholds that distinguish someone who is fine from someone who needs support from someone who needs a referral. Right now.

Six instruments that do the heavy lifting

Clinical screening for mental health isn't guesswork. Decades of research have produced short, well-validated questionnaires that can be administered by non-clinicians, scored automatically, and interpreted with clear thresholds. The challenge has always been assembling them into a single coherent form that an HR team can actually deploy without a psychology degree.

Here are the six instruments that matter most for a workplace screening, and what each one catches.

PHQ-9 — Depression. The Patient Health Questionnaire is the most widely used depression screener in the world. Nine questions, each scored 0 to 3, yielding a total between 0 and 27. Scores of 10 and above flag moderate depression. A study of Kenyan healthcare workers using the PHQ-9 found that 43.1% met criteria for major depression — a rate far higher than the general population and a reminder that these numbers are not abstract.

GAD-7 — Anxiety. Seven items measuring generalised anxiety disorder. Same scoring logic as the PHQ-9, with a threshold of 10 indicating moderate anxiety. Anxiety and depression frequently co-occur, which is why screening for one without the other misses half the picture.

BAT-12 — Burnout. The Burnout Assessment Tool is a newer instrument that measures exhaustion, mental distance, cognitive impairment, and emotional impairment. Twelve items. Where the PHQ-9 and GAD-7 capture clinical conditions, the BAT-12 captures the occupational syndrome that often precedes them.

DAST-10 — Substance use. The Drug Abuse Screening Test flags problematic drug use in ten yes-or-no questions. This one matters more than most employers want to admit. Substance use is frequently a coping mechanism for untreated depression and anxiety, and workplace screening that skips it is screening with one eye closed.

CAGE-AID — Alcohol and drug dependence. Four questions, brutally efficient. Originally developed for alcohol, the CAGE-AID version extends to drugs. Two or more positive responses suggest dependence. It takes less than a minute to complete.

PC-PTSD-5 — Trauma. The Primary Care PTSD Screen catches post-traumatic stress in five questions. In a country where many employees carry unprocessed experiences — from political violence to personal loss to road accidents — this screen matters.

Individually, each of these instruments is freely available. The difficulty is combining them into a form that flows logically, only asks sensitive follow-up questions when earlier answers justify it, scores everything automatically, and gives each respondent immediate, personalised feedback. That integration work is what most organisations lack the technical capacity to do.

Why branching logic matters more than you think

If you hand someone a flat form with all six instruments printed end to end, you get about 50 questions. Some of them are deeply sensitive — questions about suicidal ideation, substance dependence, traumatic flashbacks. Asking every respondent every question regardless of their earlier answers is not just inefficient, it's poor practice. A person who scores 2 out of 27 on the PHQ-9 does not need to be asked about suicide planning. A person who reports no drug use should not be routed through the DAST-10.

This is where XLSForm logic becomes genuinely valuable. An XLSForm can evaluate a respondent's score on one instrument in real time and conditionally display the next set of questions only when clinically indicated. The result is that a low-risk respondent might complete the form in five minutes, answering perhaps 20 questions. A high-risk respondent gets the full battery, with the additional questions appearing naturally — not as a confrontation, but as a continuation of the conversation.

This isn't a nice-to-have. It's how you keep completion rates high and survey fatigue low while still catching the people who need help.

What happens after the last question

Collecting data is only useful if the respondent gets something back. One of the persistent failures of institutional surveys is the black-hole effect: employees share vulnerable information and hear nothing in return for weeks, if ever.

A well-designed XLSForm can calculate scores in real time and display a personalised result the moment someone submits. That result should be specific enough to be useful without being so clinical that it frightens someone. For a respondent scoring in the low range across all six instruments, a brief affirmation and practical self-care guidance is appropriate. For someone flagged on the burnout scale, a recommendation to review workload with their line manager. For someone scoring above the clinical threshold on the PHQ-9 or endorsing suicidal ideation, an immediate, clear, non-alarmist direction to a specific support resource — not "seek help," but "call this number."

This is where your institution's helpline contacts, EAP details, and internal referral pathways need to be baked into the form before deployment. The form should know your organisation's name, your department structure, and your support contacts before a single employee opens it.

Running it offline

A large proportion of Kenyan workplaces — county health facilities, field teams, manufacturing plants, agricultural operations — cannot rely on stable internet during a data collection exercise. Any tool that requires continuous connectivity is disqualified before it starts.

XLSForm-based tools like KoboToolbox and ODK Collect solve this cleanly. The form is loaded onto a phone or tablet in advance. Respondents complete the survey offline. Data syncs to a central server when connectivity is next available. For a mental health survey, this architecture also provides a privacy benefit: responses are stored locally on the device until upload, not streamed in real time where a network observer could intercept them.

KoboToolbox is free for humanitarian and research use. ODK Collect is open source. Neither requires a developer to set up. If your organisation has someone who can follow a setup guide and import an .xlsx file, you can be collecting data within a day.

What this does not replace

This is worth stating plainly. A screening survey is not a diagnosis. It identifies risk levels. It flags people who may benefit from clinical follow-up. It gives an organisation an aggregate picture of where the pressure points are. It does not tell you that a specific employee has major depressive disorder. Only a qualified clinician, conducting a proper assessment, can do that.

The value of screening is that it moves you from "we think our staff might be stressed" to "34% of respondents in the Nairobi office scored above the moderate threshold for anxiety, and 12% endorsed at least one trauma-related symptom." That level of specificity is what lets you allocate resources, justify budget, design interventions, and track whether things improve over time.

Building this yourself vs. using something ready

You could build this from scratch. Download each instrument's published scoring guide. Design the XLSForm logic. Test the skip patterns. Write the automated scoring calculations. Author the personalised feedback messages for every risk combination across six instruments. Debug the edge cases where a respondent scores high on three instruments simultaneously and the feedback needs to address all three without overwhelming them.

It would take a skilled XLSForm developer several weeks, assuming they also understand the clinical scoring for each instrument and the ethical considerations around feedback language for suicidal ideation.

Or you could use something that's already been built and tested.

The Karatasi Institutional Mental Health Survey Form packages all six instruments into a single XLSForm with branching logic, automatic scoring, and personalised recommendations. You customise it with your institution's name, department list, and helpline contacts. Deploy on KoboToolbox or ODK Collect. The whole setup takes under an hour. It costs KES 5,000 — less than what most consultants charge for an initial scoping call, and you own the form permanently.

Who this is for

If you recognise your organisation in any of these descriptions, this tool was built for you.

You're an HR manager at a mid-sized Kenyan company and you know staff wellness is deteriorating but have no data to present to leadership. You're a staff welfare officer at a county government department and the national guidelines say you should be screening but nobody told you how. You're running an NGO and your donors are asking about psychosocial support for field staff. You're a county health department tasked with screening healthcare workers — the same population that the research says is at disproportionate risk.

In each case, the bottleneck isn't willingness. It's tooling.

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Ready to run a proper staff mental health screening? Get the Karatasi Institutional Mental Health Survey Form here. One file. Six validated instruments. Branching logic. Automatic scoring. Offline-ready. Set up in under an hour.

This article is for informational purposes only. The screening instruments discussed here are validated tools for identifying risk levels, not diagnostic instruments. Always involve a qualified mental health professional in interpreting aggregate results and following up with individuals who score above clinical thresholds. If you or someone you know is in crisis, contact the Kenya Red Cross helpline at 1199 or Befrienders Kenya at 0722 178 177.